Abstract
Abstract. The evolution of science is made possible when experimental results are compared with expectations from theory and are consistent. In this context, experimental physics, as applied science, plays a vital role for the progress of science in society. The experimental physics is a discipline where physics scholars have an intensive laboratory experience that concentrates on experiments for substantiating and/or challenging established and/or new theories in physics. No studies to date allows us to explain the endogenous processes that support the evolution of scientific disciplines and emergence of new scientific fields in applied sciences of physics. In fact, one of the fundamental questions in science is how scientific disciplines evolve and sustain progress in society. This study confronts this question here by investigating the evolution of experimental physics to explain and generalize, whenever possible, some characteristics of the dynamics of applied sciences. Empirical analysis suggests a number of properties about the evolution of experimental physics and in general of applied sciences, such as: a)scientific fission, the evolution of scientific disciplines generates a process of division into two or more research fields that evolve as autonomous entities over time; b)ambidextrous drivers of science, the evolution of science via scientific fission is due to scientific discoveries or new technologies; c)new driving research fields, the drivers of scientific disciplines are new research fields rather than old ones (e.g., three scientific fields with a high scientific production in experimental physics are emerged after 1950s); d)science driven by development of general purpose technologies, the evolution of experimental physics and applied sciences is due to the convergence of experimental and theoretical branches of physics associated with the development of computer, information systems and applied computational science (e.g., computer simulation). Results also reveal that average duration of the up wave of scientific production in scientific fields supporting experimental physics is about 80 years. Overall, then, this study begins the process of clarifying and generalizing, as far as possible, some characteristics of the evolutionary dynamics of scientific disciplines that can lay a foundation for the development of comprehensive properties explaining the evolution of science as a whole for supporting fruitful research policy implications directed to advancement of science and technological progress in society.
Keywords. Research Fields; Scientific Disciplines; Scientific Fields; Evolution of Science; Dynamics of Science; Applied Sciences; Basic Sciences; Experimental Physics; Scientific Fission; Scientific Development; Scientific Paradigm; Branching in Science; Sociology of Knowledge; Scientific Knowledge; Philosophy of Science.
JEL. A19; C00; I23; L30.References
Adams J. 2012. The rise of research networks. Nature, vol. 490, n. 7420,pp.335-356.
Adams J. 2013. The fourth age of research. Nature, vol. 497, n. 7451, pp. 557-560.
Alexander J. 1979. Paradigm Revision and Parsonianism. Canadian Journal of Sociology, vol. 4, pp.343-358.
Alexander J. 1983. Theoretical Logic in Sociology, Vol. 2. Berkeley: University of California Press.
Andersen H. 1998. Characteristics of scientific revolutions. Endeavour, vol. 22, n. 1, pp. 3-6.
Ávila-Robinson A., Islam N., Sengoku S. 2019. Co-evolutionary and systemic study on the evolution of emerging stem cell-based therapies, Technological Forecasting and Social Change, vol. 138, January, pp. 324-339. DOI: 10.1016/j.techfore.2018.10.012
Barger V. D., Olsson M. G. 1973. Classical Mechanics: a Modern Perspective, McGraw-Hill
Beaver de B. D., Rosen R. 1978. Studies in scientific collaboration. Part 1. The professional origins of scientific co-authorship. Scientometrics, vol. 1, pp. 65–84.
Bernal J.D. 1939. The Social Function of Science, MIT Press: Cambridge.
Bettencourt L. M., Kaiser D. I., Kaur J. 2009. Scientific discovery and topological transitions in collaboration networks. Journal of Informetrics vol. 3, pp. 210–221.
Bleaney B.I., Bleaney B. 1965. Electricity & Magnetism, Oxford Uni. Press
Boring E. G. 1927. The problem of originality in science. The American Journal of Psychology, vol. 39, no. 1/4 (Dec.), pp. 70-90, https://www.jstor.org/stable/1415402
Börner K., Glänzel W., Scharnhorst A., den Besselaar P. V. 2011. Modeling science: studying the structure and dynamics of science. Scientometrics vol. 89, pp. 347–348.
Börner K., Scharnhorst A. 2009. Visual conceptualizations and models of science. J. Informetrics vol. 3, pp. 161–172.
Boyack K.W 2004. Mapping knowledge domains: Characterizing PNAS. Proceedings of The National Academy of Sciences of the United States of America (PNAS), vol. 101 (suppl. 1), pp. 5192–5199.
Boyack K.W., Klavans R. Börner K. 2005. Mapping the backbone of science. Scientometrics, vol. 64, n. 3, pp. 351-374.
Bush V. 1945. Science: The Endless Frontier, Ayer Co, North Stratford.
Büttner J., Renn J., Schemmel M. 2003. Exploring the limits of classical physics: Planck, Einstein, and the structure of a scientific revolution. Studies in History and Philosophy of Modern Physics, vol. 34, n. 1, pp. 37-59.
Calabrese G., Coccia M., Rolfo S. 2005. Strategy and market management of new product development: evidence from Italian SMEs. International Journal of Product Development, vol. 2, n. 1-2, pp. 170-189. 10.1504/IJPD.2005.006675
Callon M. 1994. Is Science a Public Good? Fifth Mullins Lecture, Science, Technology, and Human Values, vol. 19, n. 4, Autumn, pp. 395-424.
Cheng T. P., 2010. Relativity, Gravitation and Cosmology: A Basic Introduction, Cambridge University Press.
Clark N. 1987. Similarities and differences between scientific and technological paradigms, Futures, vol. 19, n. 1, pp. 26–42.
Coccia, M. (2001). Satisfaction, work involvement and R&D performance. International Journal of Human Resources Development and Management, 1(2-3-4), 268-282. doi. 10.1504/IJHRDM.2001.001010
Coccia, M. (2003). Metrics of R&D performance and management of public research institute. Proceedings of IEEE- IEMC 03, Piscataway, pp.231-236.
Coccia, M. (2004). Spatial metrics of the technological transfer: analysis and strategic management. Technology Analysis & Strategic Management, 16(1), 31-52. doi. 10.1080/0953732032000175490
Coccia, M. (2005). Countrymetrics: valutazione della performance economica e tecnologica dei paesi e posizionamento dell’Italia, Rivista Internazionale di Scienze Sociali, CXIII(3), 377-412.
Coccia, M. (2005a). Metrics to measure the technology transfer absorption: analysis of the relationship between institutes and adopters in northern Italy. International Journal of Technology Transfer and Commercialization, 4(4), 462-486. doi. 10.1504/IJTTC.2005.006699
Coccia, M. (2005b). Technometrics: Origins, historical evolution and new direction, Technological Forecasting & Social Change, 72(8), 944-979. doi. 10.1016/j.techfore.2005.05.011
Coccia, M. (2005c). Economics of scientific research: origins, nature and structure, Proceedings of Economic Society of Australia.
Coccia, M. (2006). Classifications of innovations: survey and future directions. Working Paper Ceris del Consiglio Nazionale delle Ricerche, 8(2), 1-19. [Retrieved from].
Coccia, M. (2006a). Analysis and classification of public research institutes. World Review of Science, Technology and Sustainable Development, 3(1), 1-16.
Coccia, M. (2007). A new taxonomy of country performance and risk based on economic and technological indicators, Journal of Applied Economics, 10(1), 29-42.
Coccia, M. (2008). Science, funding and economic growth: analysis and science policy implications. World Review of Science, Technology and Sustainable Development, 5(1), 1-27. doi. 10.1504/WRSTSD.2008.01781
Coccia, M. (2008a). Spatial mobility of knowledge transfer and absorptive capacity: analysis and measurement of the impact within the geoeconomic space. The Journal of Technology Transfer, 33(1), 105-122. doi. 10.1007/s10961-007-9032-4
Coccia, M. (2008b). New organizational behaviour of public research institutions: Lessons learned from Italian case study. International Journal of Business Innovation and Research, 2(4), 402–419. doi. 10.1504/IJBIR.2008.018589
Coccia, M. (2009). A new approach for measuring and analyzing patterns of regional economic growth: empirical analysis in Italy. Italian Journal of Regional Science- Scienze Regionali, 8(2), 71-95. doi. 10.3280/SCRE2009-002004
Coccia, M. (2009a). Measuring the impact of sustainable technological innovation, International Journal of Technology Intelligence and Planning, 5(3), 276-288. doi. 10.1504/IJTIP.2009.026749
Coccia, M. (2010). Public and private R&D investments as complementary inputs for productivity growth. International Journal of Technology, Policy and Management, 10(1/2), 73-91. doi. 10.1504/IJTPM.2010.032855
Coccia, M. (2010a). Foresight of technological determinants and primary energy resources of future economic long waves, International Journal of Foresight and Innovation Policy, 6(4), 225–232. doi. 10.1504/IJFIP.2010.037468
Coccia, M. (2010b). Energy metrics for driving competitiveness of countries: Energy weakness magnitude, GDP per barrel and barrels per capita. Energy Policy, 38(3), 1330-1339. doi. 10.1016/j.enpol.2009.11.011
Coccia, M. (2010c). Spatial patterns of technology transfer and measurement of its friction in the geo-economic space. International Journal of Technology Transfer and Commercialisation, 9(3), 255-267. doi. 10.1504/IJTTC.2010.030214
Coccia, M. (2010d). The asymmetric path of economic long waves, Technological Forecasting & Social Change, 77(5), 730-738. doi. 10.1016/j.techfore.2010.02.003
Coccia, M. (2010e). Democratization is the driving force for technological and economic change, Technological Forecasting & Social Change, 77(2), 248-264. doi. 10.1016/j.techfore.2009.06.007
Coccia, M. (2011). The interaction between public and private R&D expenditure and national productivity. Prometheus-Critical Studies in Innovation, 29(2), 121-130. doi. 10.1080/08109028.2011.601079
Coccia, M. (2012). Political economy of R&D to support the modern competitiveness of nations and determinants of economic optimization and inertia, Technovation, 32(6), 370–379. doi. 10.1016/j.technovation.2012.03.005
Coccia, M. (2012a). Evolutionary trajectories of the nanotechnology research across worldwide economic players. Technology Analysis & Strategic Management, 24(10), 1029-1050. doi. 10.1080/09537325.2012.705117
Coccia, M. (2012b). Evolutionary growth of knowledge in path-breaking targeted therapies for lung cancer: radical innovations and structure of the new technological paradigm. International Journal of Behavioural and Healthcare Research, 3(3-4), 273-290. doi. 10.1504/IJBHR.2012.051406
Coccia, M. (2012c). Converging genetics, genomics and nanotechnologies for groundbreaking pathways in biomedicine and nanomedicine. International Journal of Healthcare Technology and Management, 13(4), 184-197. doi. 10.1504/IJHTM.2012.050616
Coccia, M. (2012d). Driving forces of technological change in medicine: Radical innovations induced by side effects and their impact on society and healthcare. Technology in Society, 34(4), 271-283. doi. 10.1016/j.techsoc.2012.06.002
Coccia, M. (2013). What are the likely interactions among innovation, government debt, and employment? Innovation: The European Journal of Social Science Research, 26(4), 456–471. doi. 10.1080/13511610.2013.863704
Coccia, M. (2013a). The effect of country wealth on incidence of breast cancer. Breast Cancer Research and Treatment, 141(2), 225-229. doi. 10.1007/s10549-013-2683-y
Coccia, M. (2014). Path-breaking target therapies for lung cancer and a far-sighted health policy to support clinical and cost effectiveness. Health Policy and Technology, 1(3), 74-82. doi. 10.1016/j.hlpt.2013.09.007
Coccia, M. (2014a). Emerging technological trajectories of tissue engineering and the critical directions in cartilage regenerative medicine. Int. J. Healthcare Technology and Management, 14(3), 194-208. doi. 10.1504/IJHTM.2014.064247
Coccia, M. (2014b). Converging scientific fields and new technological paradigms as main drivers of the division of scientific labour in drug discovery process: the effects on strategic management of the R&D corporate change. Technology Analysis & Strategic Management, 26(7), 733-749, doi. 10.1080/09537325.2014.882501
Coccia, M. (2014c). Driving forces of technological change: The relation between population growth and technological innovation-Analysis of the optimal interaction across countries, Technological Forecasting & Social Change, 82(2), 52-65. doi. 10.1016/j.techfore.2013.06.001
Coccia, M. (2014). Socio-cultural origins of the patterns of technological innovation: What is the likely interaction among religious culture, religious plurality and innovation? Towards a theory of socio-cultural drivers of the patterns of technological innovation, Technology in Society, 36(1), 13-25. doi. 10.23760/2421-7158.2017.004
Coccia, M. (2014e). Religious culture, democratisation and patterns of technological innovation. International Journal of Sustainable Society, 6(4), 397-418. doi. 10.1504/IJSSOC.2014.066771
Coccia, M. (2014f). Structure and organisational behaviour of public research institutions under unstable growth of human resources, Int. J. Services Technology and Management, 20(4/5/6), 251–266. doi. 10.1504/IJSTM.2014.068857
Coccia, M. (2014g). Steel market and global trends of leading geo-economic players. International Journal of Trade and Global Markets, 7(1), 36-52, doi. 10.1504/IJTGM.2014.058714
Coccia, M. (2015). The Nexus between technological performances of countries and incidence of cancers in society. Technology in Society, 42, 61-70. doi. 10.1016/j.techsoc.2015.02.003
Coccia, M. (2015a). Patterns of innovative outputs across climate zones: the geography of innovation, Prometheus. Critical Studies in Innovation, 33(2), 165-186. doi. 10.1080/08109028.2015.1095979
Coccia, M. (2015b). General sources of general purpose technologies in complex societies: Theory of global leadership-driven innovation, warfare and human development, Technology in Society, 42, 199-226. doi. 10.1016/j.techsoc.2015.05.008
Coccia, M. (2015c). Spatial relation between geo-climate zones and technological outputs to explain the evolution of technology. Int. J. Transitions and Innovation Systems, 4(1-2), 5-21. doi. 10.1504/IJTIS.2015.074642
Coccia, M. (2015d). Technological paradigms and trajectories as determinants of the R&D corporate change in drug discovery industry. International Journal Knowledge and Learning, 10(1), 29-43. doi. 10.1504/IJKL.2015.071052
Coccia, M. (2016). Asymmetric paths of public debts and of general government deficits across countries within and outside the European monetary unification and economic policy of debt dissolution. The Journal of Economic Asymmetries, 15, 17-31. doi. 10.1016/j.jeca.2016.10.003
Coccia, M. (2016a). Radical innovations as drivers of breakthroughs: characteristics and properties of the management of technology leading to superior organizational performance in the discovery process of R&D labs. Technology Analysis & Strategic Management, 28(4), 381-395. doi. 10.1080/09537325.2015.1095287
Coccia, M. (2016). Problem-driven innovations in drug discovery: co-evolution of radical innovation with the evolution of problems, Health Policy and Technology, 5(2), 143-155. doi. 10.1016/j.hlpt.2016.02.003
Coccia, M. (2016c). The relation between price setting in markets and asymmetries of systems of measurement of goods. The Journal of Economic Asymmetries, 14(B), 168-178. doi. 10.1016/j.jeca.2016.06.001
Coccia, M. (2017). The source and nature of general purpose technologies for supporting next K-waves: Global leadership and the case study of the U.S. Navy's Mobile User Objective System, Technological Forecasting and Social Change, 116, 331-339. doi. 10.1016/j.techfore.2016.05.019
Coccia, M. (2017a). Optimization in R&D intensity and tax on corporate profits for supporting labor productivity of nations. The Journal of Technology Transfer, doi. 10.1007/s10961-017-9572-1
Coccia, M. (2017b). Varieties of capitalism’s theory of innovation and a conceptual integration with leadership-oriented executives: the relation between typologies of executive, technological and socioeconomic performances. Int. J. Public Sector Performance Management, 3(2), 148–168. doi. 10.1504/IJPSPM.2017.084672
Coccia, M. (2017c). Sources of disruptive technologies for industrial change. L’industria –rivista di Economia e Politicaindustriale, 38(1), 97-120.
Coccia, M. (2017d). Sources of technological innovation: Radical and incremental innovation problem-driven to support competitive advantage of firms. Technology Analysis & Strategic Management, 29(9), 1048-1061. doi. 10.1080/09537325.2016.1268682
Coccia, M. (2017e). A Theory of general causes of violent crime: Homicides, income inequality and deficiencies of the heat hypothesis and of the model of CLASH, Aggression and Violent Behavior, 37, 190-200. doi. 10.1016/j.avb.2017.10.005
Coccia, M. (2017f). New directions in measurement of economic growth, development and under development, Journal of Economics and Political Economy, 4(4), 382-395.
Coccia, M. (2017g). Disruptive firms and industrial change, Journal of Economic and Social Thought, 4(4), 437-450.
Coccia, M. (2017h). The Fishbone diagram to identify, systematize and analyze the sources of general purpose Technologies, Journal of Social and Administrative Sciences, 4(4), 291-303.
Coccia, M. (2018). A theory of the general causes of long waves: War, general purpose technologies, and economic change. Technological Forecasting & Social Change, 128, 287-295 10.1016/j.techfore.2017.11.013
Coccia, M. (2018a). The relation between terrorism and high population growth, Journal of Economics and Political Economy, 5(1), 84-104.
Coccia, M. (2018c). Violent crime driven by income Inequality between countries, Turkish Economic Review, 5(1), 33-55.
Coccia, M. (2018d). The origins of the economics of innovation, Journal of Economic and Social Thought, 5(1), 9-28.
Coccia, M. (2018e). Theorem of not independence of any technological innovation, Journal of Economics Bibliography, 5(1), 29-35.
Coccia, M. (2018e). Theorem of not independence of any technological innovation, Journal of Social and Administrative Sciences, 5(1), 15-33.
Coccia, M. (2018f). Competition between basic and applied research in the organizational behaviour of public research labs, Journal of Economics Library, 5(2), 118-133.
Coccia, M. (2018g). An introduction to the methods od inquiry in social sciences, Journal of Social and Administrative Sciences, 5(2), xxx-xxx.
Coccia, M., & Bellitto, M. (2018). Human progress and its socioeconomic effects in society, Journal of Economic and Social Thought, 5(2), 160-178.
Coccia, M., & Igor, M. (2018). Rewards in public administration: a proposed classification, Journal of Social and Administrative Sciences, 5(2), 68-80.
Coccia, M., & Bozeman, B. (2016). Allometric models to measure and analyze the evolution of international research collaboration. Scientometrics, 108(3), 1065-1084. doi. 10.1007/s11192-016-2027-x
Coccia, M., Falavigna, G., & Manello, A. 2015. The impact of hybrid public and market-oriented financing mechanisms on scientific portfolio and performances of public research labs: a scientometric analysis. Scientometrics, 102(1), 151-168. doi. 10.1007/s11192-014-1427-z
Coccia, M., & Finardi, U. (2012). Emerging nanotechnological research for future pathway of biomedicine. International Journal of Biomedical Nanoscience and Nanotechnology, 2 (3-4), 299-317. doi. 10.1504/IJBNN.2012.051223
Coccia, M., & Finardi, U. (2013). New technological trajectories of non-thermal plasma technology in medicine. International Journal of Biomedical Engineering and Technology, 11(4), 337-356. doi. 10.1504/IJBET.2013.055665
Coccia, M., Finardi, U., & Margon, D. (2012). Current trends in nanotechnology research across worldwide geo-economic players, The Journal of Technology Transfer, 37(5), 777-787. doi. 10.1007/s10961-011-9219-6
Coccia, M., & Rolfo, S. (2000). Ricerca pubblica e trasferimento tecnologico: il caso della regione Piemonte. In S. Rolfo (ed), Innovazione e piccole imprese in Piemonte, Franco Angeli Editore, Milano.
Coccia, M., & Rolfo, S. (2002). Technology transfer analysis in the Italian national research council, Technovation - The International Journal of Technological Innovation and Entrepreneurship, 22(5), 291-299. doi. 10.1016/S0166-4972(01)00018-9
Coccia, M., & Rolfo, S. (2007). How research policy changes can affect the organization and productivity of public research institutes, Journal of Comparative Policy Analysis, Research and Practice, 9(3) 215-233. doi. 10.1080/13876980701494624
Coccia, M., & Rolfo, S. (2010). New entrepreneurial behaviour of public research organizations: opportunities and threats of technological services supply, International Journal of Services Technology and Management, 13(1-2), 134-151. doi. 10.1504/IJSTM.2010.029674
Coccia, M., & Rolfo, S. (2013). Human resource management and organizational behavior of public research institutions, International Journal of Public Administration, 36(4), 256-268. doi. 10.1080/01900692.2012.756889
Coccia, M., & Rolfo, S. (2009). Project management in public research organization: Strategic change in complex scenarios. International Journal of Project Organisation and Management, 1(3), 235–252. doi. 10.1504/IJPOM.2009.027537
Coccia, M., & Wang, L. (2015). Path-breaking directions of nanotechnology-based chemotherapy and molecular cancer therapy, Technological Forecasting and Social Change, 94, 155–169. doi. 10.1016/j.techfore.2014.09.007
Coccia, M., & Wang, L. (2016). Evolution and convergence of the patterns of international scientific collaboration. Proceedings of the National Academy of Sciences of the United States of America, 113(8), 2057-2061. doi. 10.1073/pnas.1510820113
Cohen I. B. 1952. Orthodoxy and Scientific Progress, Proceedings of the American Philosophical Society, vol. 96, pp. 505-512.
Constant E. W. 2000. The Evolution of War and Technology. In Zirman J. (ed.) Technological knowledge as an evolutionary process, pp. 281-298, Cambridge University Press, Cambridge.
Crane D. 1972. Invisible colleges: Diffusion of knowledge in scientific communities. University of Chicago Press, Chicago.
De Solla Price D. J. 1986. Little science, big science... and beyond. Columbia University Press, New York, Ch. 3.
Dogan M. Pahre R. 1990. Creative marginality: Innovation at the intersections of social sciences. Westview Press.
Etzkowitz H., Leydesdorff L. 1998. The endless transition: a Triple Helix of university-industry-government relations, Minerva, vol. 36, n. 3, pp. 203-208. doi. 10.1023/A:1017159001649
Fanelli D., Glänzel W. 2013. Bibliometric evidence for a hierarchy of the sciences. PLoSONE, vol. 8, n. 6, e66938. doi:10.1371/journal.pone.0066938
Field A. J. 2008. The impact of the Second World War on US productivity growth, Economic History Review, vol. 61, n. 3, pp. 672-694.
Frame J. D., Carpenter M. P. 1979. International research collaboration. Soc Stud Sci., vol. 9, n. 4, pp. 481–497.
Freedman P. 1960. The principles of scientific research (First edition 1949). Pergamon Press, London.
Fultz B., Howe J. 2007. Transmission Electron Microscopy and Diffractometry of Materials, Springer.
Gemery H. A., Hogendorn J. S. 1993. The microeconomic bases of short run learning curves: destroyer production in World War II. In G.T. Mills and H. Rockoff (eds.), The sinews of war: essays on the economic history of World War II (Ames), pp. 150–65.
Genovesi A. 1786. Elementi di Fisica Sperimentale, Publisher presso Giuseppe di Bisogno, Napoli (Italy)
Gibbons M., Limoges C., Nowotny H., Schwatzman S., Scott P., Trow M. 1994. The New Production of Knowledge: the dynamics of science and research in contemporary society. Sage Publications, London.
Goldstein J. S. 2003. War and economic history. In The Oxford Encyclopedia of economic history (ed. J. Mokyr), Oxford University press, pp. 215-218.
Guimera R., Uzzi B., Spiro J., Amaral L. 2005. Team assembly mechanisms determine collaboration network structure and team performance. Science, vol. 308, pp. 697–702.
Halliday D., Resnick R., Walker J. 2014. Fundamental of Physics. 10th Edition, Wiley and Sons, New York.
Haskins C. P. 1965. Report of the President by Carnegie Institution of Washington Yearbook 63, 1963-64, Washington, D.C. (USA)
Hawkes P. 2007. The beginnings of Electron Microscopy Transmission Electron Microscopy and Diffractometry of materials, Springer.
Heyde K. 1994 Basic Ideas and Concepts in Nuclear Physics, CRC Press.
International Union of Crystallography 1992. Report of the Executive Committee for 1991. Acta Crystallographica A48: pp. 922–946.
Jackson J.D. 1999. Classical Electrodynamics, Wiley
Jamali H. R., Nicholas D. 2010. Interdisciplinarity and the information-seeking behavior of scientists. Information Processing and Management, vol. 46, pp. 233–243.
Jeffrey P. 2003. Smoothing the Waters: Observations on the Process of Cross-Disciplinary Research Collaboration. Social Studies of Science, vol. 33, n. 4, pp. 539-562.
Johnson H.G. 1972. Some economic aspects of science, Minerva, 10(1), 10-18.
Kitcher P. 2001. Science, Truth, and Democracy. Oxford University Press, New York, Chps. 5-6.
Klavans R., Boyack K.W. 2009. Toward a consensus map of science. J Am Soc Inf Sci Technol vol. 60, pp. 455–476.
Klein J.T. 1996. Crossing boundaries. Knowledge, disciplinarities and interdisciplinarities, University Press of Virginia. Charlottesville, VA.
Kleppner D., Kolenkow R. 2014. An Introduction to Mechanics, McGraw-Hill
Kuhn T.S. 1962. The Structure of Scientific Revolutions. The University of Chicago Press. 2nd enlarged ed. Chicago.
Lakatos I. 1968. Criticism and the methodology of scientific research programmes, Proceedings of the Aristotelian Society, New Series, vol. 69 (1968 - 1969), pp. 149-186,
Lakatos I. 1978. The Methodology of scientific research programmes: philosophical papers, volume 1. Cambridge University Press (Cambridge), MA.
Latour B. 1987. Science in action. Harvard University Press, Cambridge, MA.
Latour B., Woolgar S. 1979. Laboratory Life: the Social Construction of Scientific Facts. Sage, London and Beverly Hills.
Lee S., Bozeman B. 2005. The impact of research collaboration on scientific productivity. Social Studies of Science, vol. 35, n. 5, pp. 673-702.
Levine D., Steinhardt R. 1984. Quasicrystals: A New Class of Ordered Structures. Physical Review Letters vol. 53, n. 26, pp. 2477–2480.
Lievrouw L.A. 1988. Four programs of research in scientific communication. Knowledge in Society, vol. 1, n. 2, pp. 6-22. https://doi.org/10.1007/BF02687210
Lilley J. 2001. Nuclear Physics Principles and Applications, Wiley.
Martin B. R. 2006. Nuclear and Particle Physics: An Introduction, Wiley
Martin B., Shaw G. 2008. Particle Physics, Wiley.
Merton R. K. 1957. Priorities in scientific discovery: A chapter in the sociology of science. American Sociological Review, vol. 22, n. 6, pp. 635-659. doi. 10.2307/2089193
Merton R. K. 1968. The Matthew Effect in Science. Science, vol. 159, n. 3810, pp. 56–63. doi:10.1126/science.159.3810.56.
Morillo F., Bordons M., Gómez I. 2003. Interdisciplinarity in Science: A Tentative Typology of Disciplines and Research Areas. Journal of the American society for information science and technology, vol. 54, n. 13, pp. 1237–1249.
Mulkay M. J. 1969. Some Aspects of Cultural Growth in the Natural Sciences. Social Research, vol. 36, pp. 22-52.
Mulkay M. J. 1975. Three models of scientific development. The Sociological Review vol. 23, pp. 509–526.
Mullins N. C. 1973. The Development of Specialties in social Sciences: The Case of Ethnomethodology', Science Studies, vol. 3, pp. 245-273;
Nelson R.R. 1962. The link between science and invention: The case of the transistor, in The Rate and Direction of Inventive Activity: Economic and Social Factors, (pp.549-583), Princeton University Press, Princeton.
Nelson R.R., Romer P.M. 1996. Science, economic growth, and public policy, Challenge, vol. 39, n. 1, pp. 9-21. doi. 10.1080/05775132.1996.11471873
Newman M.E.J. 2001. The Structure of Scientific Collaboration Networks. Proceedings of The National Academy of Sciences of the United States of America (PNAS), vol. 98, n. 2, pp. 404-409.
Newman M.E.J. 2004. Coauthorship Networks and Patterns of Scientific Collaboration. Proceedings of The National Academy of Sciences of the United States of America (PNAS), vol. 101 (suppl. 1), pp. 5200-5205.
Nordhaus W. 1969. Invention, Growth and Welfare, MIT Press, Massachusetts Cambridge.
Noyons E. C. M., van Raan A. F. J. 1998. Monitoring scientific developments from a dynamic perspective: Self-organized structuring to map neural network research. Journal of the American Society for Information Science vol. 49, pp. 68–81.
NYU Department of Physics. 2019. Syllabus for Advanced Experimental Physics,
Pan R. K., Kaski K., Fortunato S. 2012. World citation and Collaboration Networks: Uncovering the Role of Geography in Science. Scientific Reports, vol. 2, n. 902, pp. 1-7.
Pauling L. 1987. So-called icosahedral and decagonal quasicrystals are twins of an 820-atom cubic crystal, Phys. Rev. Lett. Vol. 58, n. 4, p. 365, https://doi.org/10.1103/PhysRevLett.58.365
Perkins D.H. 2000. Introduction to High Energy Physics, Cambridge University Press, 4th Edition.
Phillips A.C. 1994. The Physics of Stars, Wiley.
Planck M. 1950. Scientific Autobiography, Williams and Norgate, London, pp. 33-34
Polanyi M. 1958. Personal Knowledge, Routledge and Kegan Paul, London.
Polanyi M. 1963.The Potential Theory of Absorption. In Knowing and Being, Routledge, London, p. 94.
Politecnico di Milano 2019. Fondamenti di Fisica Sperimentale, 2019-2020.
Popper K. 1959. The Logic of Scientific Discovery. Hutchinson, London.
Reimer L., Kohl H. 2008. Transmission Electron Microscopy: Physics of Image Formation, Springer.
Relman D. A. 2002. New technologies, human-microbe interactions, and the search for previously unrecognized pathogens. Journal of Infectious Diseases, vol. 186, n. Suppl. 2, pp. S254–S258
Riesch H. 2014. Philosophy, history and sociology of science; Interdisciplinary and complex social identities. Studies in History and Philosophy of Science, vol. 48, pp. 30-37
Rosenberg N. 1974. Science, invention and economic growth, Economic Journal, vol. 84, n. 333, pp. 90-108. doi. 10.2307/2230485
Rousmaniere F. H. 1909. The Bases for Generalization in Scientific Methods. The Journal of Philosophy, Psychology and Scientific Methods, vol. 6, no. 8, pp. 202-205.
Ruttan V. W. 2006. Is War Necessary for Economic Growth? Military Procurement and Technology Development, Oxford University Press, New York.
Scharnhorst A., Börner K., Besselaar P. 2012. Models of Science Dynamics: Encounters Between Complexity Theory and Information Sciences. Springer Verlag.
Science 1965. The Evolution of Science, Science-New Series, vol. 148, no. 3671, p. 737, Stable URL: http://www.jstor.org/stable/1716330
ScienceDirect 2019. Advanced Research, https://www2.scopus.com/search/form.uri?display=basic (accessed October 2019).
Seidman S. S. 1987. Models of scientific development in sociology. Humboldt Journal of Social Relations vol. 15, n.1, pp.119- 139
Shechtman D., Blech I., Gratias D., Cahn J. W..1984. Metallic Phase with Long Range Orientational Order and No Translation Symmetry. Physical Review Letters, vol. 53, n. 20, pp. 1951–1953.
Simonton D. K. 2002. Great psychologists and their times: Scientific insights into psychology’s history. APA Books, Washington D.C.
Simonton D. K. 2004. Psychology’s Status as a Scientific Discipline: Its Empirical Placement Within an Implicit Hierarchy of the Sciences. Review of General Psychology, vol. 8, n. 1, pp. 59–67
Sintonen M. 1990. Basic and Applied Sciences - Can the Distinction (Still) Be Drawn? Science & technology Studies, vol. 3, n. 2, pp. 23-31.
Small H. 1999.Visualizing science by citation mapping. Journal of the American Society for Information Science and Technology, vol. 50, n. 3, pp. 799-813.
Smith L.D., Best L.A., Stubbs D.A., Johnston J., Bastiani A. A. 2000. Scientific Graphs and the Hierarchy of the Sciences: A Latourian Survey of Inscription Practices. Social Studies of Science, vol. 30, n. 1, pp. 73-94.
Souzanchi Kashani E., Roshani S. 2019. Evolution of innovation system literature: Intellectual bases and emerging trends, Technological Forecasting and Social Change, vol. 146, September, pp. 68-80
Squires G.L. 2001. Practical Physics, 4th edition, Cambridge.
Stein A. A., Russett B. M. 1980. Evaluating war: Outcomes and consequences. In Gurr T. R. (eds.) Handbook of political conflict: theory and research, The Free Press, pp. 399-422.
Stephan P.E. 1996. The economics of science. Journal of Economic Literature, vol. 34, n. 3, pp. 1199-1235.
Stephan P.E., Levin S.G. 1992. How science is done; Why science is done, in Striking the Mother Lode in Science: The Importance of Age, Place and Time, Chapter 2. Oxford University Press, New York, pp. 11-24.
Storer N. W. 1967. The Hard Sciences and the Soft: Some Sociological Observations., Bull Med Libr Assoc., vol. 55, n. 1, pp. 75–84.
Storer N. W. 1970. The internationality of science and the nationality of scientists. Int Soc Sci J vol. 22, n.1, pp. 80–93.
Sun X., Kaur, J., Milojevic´ S., Flammini A., Menczer F. 2013. Social Dynamics of Science. Scientific Reports, vol. 3, n. 1069, pp. 1-6, doi:10.1038/srep01069.
Taylor J. R. 1997.An Introduction to Error Analysis, University Science Books.
Thiel P.A. 2004. An introduction to the surface science of quasicrystals, Progress in Surface Science, vol. 75, n. 3-8, pp. 69-86.
Tijssen R. J.W. 2010. Discarding the ‘Basic Science/Applied Science’ Dichotomy: A Knowledge Utilization Triangle Classification System of Research Journals. Journal of the American Society for Information Science and Technology, vol. 61, n. 9, pp. 1842–1852.
Tiryakian E. 1979. The significance of schools in the development of sociology. In William Snizek et al. (ed.), Contemporary Issues in Theory and Research. Westport, CN: Greenwood Press.
van Raan A. F. J. 2000. On growth, ageing, and fractal differentiation of science. Scientometrics, vol. 47, pp. 347–362.
Wagner C. 2008. The new invisible college: Science for development. Brookings Institution Press, Washington D.C.
Wassermann G. D. 1989. Theories, Systemic Models (SYMOs), Laws and Facts in the Sciences, Synthese, vol. 79, no. 3, pp. 489-514.
Wuchty S., Jones B.F., Uzzi B.2007. The Increasing Dominance of Teams in Production of Knowledge.Science, vol. 316, n. 1036, pp. 1036-1039.
Young H. D., Freedman R. A. 2012. University Physics, Addison-Wesley
Zhou Y., Dong F., Kong D., Liu Y. 2019. Unfolding the convergence process of scientific knowledge for the early identification of emerging technologies, Technological Forecasting and Social Change, vol. 144, July, pp. 205-220.
