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General laws of funding for scientific citations: how citations change in funded and unfunded research between basic and applied sciences Cover

General laws of funding for scientific citations: how citations change in funded and unfunded research between basic and applied sciences

By: Mario Coccia and  Saeed Roshani  
Open Access
|Nov 2024

References

  1. Adams, J. (2013). The fourth age of research. Nature, 497(7451), 557–560.
  2. Boyack, K. W. (2004). Mapping knowledge domains: Characterizing PNAS. Proceedings of the National Academy of Sciences, 101(suppl_1), 5192–5199. DOI:10.1073/pnas.0307509100.
  3. Boyack, K. W., Klavans, R., & Börner, K. (2005). Mapping the backbone of science. Scientometrics, 64, 351–374. DOI: 10.1007/s11192-005-0255-6.
  4. Clarivate (2023). Web of Science Coverage Details. https://clarivate.libguides.com/librarianresources/coverage (Accessed 5 September 2023)
  5. 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
  6. Coccia, M. (2018). General properties of the evolution of research fields: a scientometric study of human microbiome, evolutionary robotics and astrobiology, Scientometrics, 117(2), 1265–1283, https://doi.org/10.1007/s11192-018-2902-8
  7. Coccia, M. (2020). The evolution of scientific disciplines in applied sciences: dynamics and empirical properties of experimental physics, Scientometrics, 124, 451–487. https://doi.org/10.1007/s11192-020-03464-y
  8. Coccia, M., & Wang, L. (2016). Evolution and convergence of the patterns of international scientific collaboration. Proceedings of the National Academy of Sciences, 113(8), 2057–2061. DOI: 10.1073/pnas.1510820113.
  9. Coccia M. (2021). Evolution and structure of research fields driven by crises and environmental threats: the COVID-19 research. Scientometrics, 126(12), 9405–9429. https://doi.org/10.1007/s11192-021-04172-x
  10. Coccia M., Roshani S., Mosleh M. (2021). Scientific Developments and New Technological Trajectories in Sensor Research. Sensors, 21(23), 7803. https://doi.org/10.3390/s21237803
  11. Coccia, M., Roshani, S., Mosleh, M. (2022). Evolution of Sensor Research for Clarifying the Dynamics and Properties of Future Directions. Sensors, 22(23), 9419. https://doi.org/10.3390/s22239419
  12. Coccia M., Mosleh M., Roshani S., (2022a). Evolution of quantum computing: Theoretical and innovation management implications for emerging quantum industry. IEEE Transactions on Engineering Management, DOI (identifier): 10.1109/TEM.2022.3175633.
  13. Coccia M. (2022). Probability of discoveries between research fields to explain scientific and technological change. Technology in Society, 68, 101874. https://doi.org/10.1016/j.techsoc.2022.101874.
  14. Coccia M. (2019). Intrinsic and extrinsic incentives to support motivation and performance of public organizations. Journal of Economics Bibliography, 6(1): 20–29, http://dx.doi.org/10.1453/jeb.v6i1.1795.
  15. Coccia, M. 2019b. Comparative Institutional Changes. A. Farazmand (ed.), Global Encyclopedia of Public Administration, Public Policy, and Governance, Springer Nature. https://doi.org/10.1007/978-3-319-31816-5_1277-1.
  16. Coccia, M., Roshani, S. (2024). The Relation Between Research Funding and Citations in Papers of Nobel Laureates in Physics, Chemistry and Medicine, 2019-2020. Journal of Data and Information Science, 8(4), 1–23. https://doi.org/10.2478/jdis-2023-0025.
  17. Davidson Frame, J., & Carpenter, M. P. (1979). International research collaboration. Social studies of science, 9(4), 481–497. DOI:10.1177/030631277900900405.
  18. Falagas, M. E., Pitsouni, E. I., Malietzis, G. A., & Pappas, G. (2008). Comparison of PubMed, Scopus, Web of Science, and Google Scholar: Strengths and weaknesses. FASEB Journal: Official Publication of the Federation of American Societies for Experimental Biology, 22(2), 338–342. https://doi.org/10.1096/fi.07-9492LSF.
  19. Fanelli, D., & Glänzel, W. (2013). Bibliometric evidence for a hierarchy of the sciences. PLoS one, 8(6), e66938. DOI: 10.1371/journal.pone.0066938.
  20. Fortunato, S.,Bergstrom, C. T., Börner, K., Evans, J. A., Helbing, D., Milojević, S., … & Barabási, A. L. (2018). Science of science. Science, 359(6379), eaao0185. DOI: 10.1126/science. aao0185.
  21. Grassano, N., Rotolo, D., Hutton, J., Lang, F., & Hopkins, M. M. (2017). Funding data from publication acknowledgments: Coverage, uses, and limitations. Journal of the Association for Information Science and Technology, 68(4), 999–1017.
  22. Hicks, D., & Isett, K. R. (2020). Powerful numbers: Exemplary quantitative studies of science that had policy impact. Quantitative Science Studies, 1(3), 969–982. Available at: http://works.bepress.com/diana_hicks/54/
  23. Katz, J. S., & Ronda-Pupo, G. A. (2019). Cooperation, scale-invariance and complex innovation systems: a generalization. Scientometrics, 121(2), 1045–1065. DOI: 10.1007/s11192-019-03215-8.
  24. Kitcher, P. (2003). Science, truth, and democracy. Oxford University Press.
  25. Leguendre, P., & Leguendre, L. (2012). Numerical ecology (3rd ed., Vol. 24). Great Britain: Elsevier B. V
  26. Li, E. Y., Liao, C. H., & Yen, H. R. (2013). Co-authorship networks and research impact: A social capital perspective. Research Policy, 42(9), 1515–1530. DOI: 10.1016/j.respol.2013.06.012.
  27. MacLean, M., Davies, C., Lewison, G., & Anderson, J. (1998). Evaluating the research activity and impact of funding agencies. Research Evaluation, 7(1), 7–16. DOI: 10.1093/rev/7.1.7.
  28. Merton, R. K. (1988). The Matthew effect in science, II: Cumulative advantage and the symbolism of intellectual property. Isis, 79(4), 606–623. DOI: 10.1086/354848.
  29. Morillo, F. (2020). Is open access publication useful for all research fields? Presence of funding, collaboration and impact. Scientometrics, 125(1), 689–716. DOI:10.1007/s11192-020-03652-w.
  30. Mosleh, M., Roshani, S., & Coccia, M. (2022). Scientific laws of research funding to support citations and diffusion of knowledge in life science. Scientometrics, 127(4), 1931–1951. DOI: 10.1007/s11192-022-04300-1.
  31. Newman, M. E. (2004). Coauthorship networks and patterns of scientific collaboration. Proceedings of the national academy of sciences, 101(suppl_1), 5200–5205. DOI: 10.1073/pnas.0307545100.
  32. OECD 2023. Open science. https://www.oecd.org/sti/inno/open-science.htm (accessed 18 October 2023)
  33. Pagliaro, M., Coccia M. (2021). How self-determination of scholars outclasses shrinking public research lab budgets, supporting scientific production: a case study and R&D management implications. Heliyon, 7(1), e05998. https://doi.org/10.1016/j.heliyon.2021.e05998
  34. Pao, M. L. (1991). On the relationship of funding and research publications. Scientometrics, 20(1), 257–281. DOI:10.1007/BF02018158.
  35. Pranckutė, R. (2021). Web of Science (WoS) and Scopus: The titans of bibliographic information in today’s academic world. Publications, 9(1), 12. doi.org/10.3390/publications9010012
  36. Price, D. D. S. (1976). A general theory of bibliometric and other cumulative advantage processes. Journal of the American Society for Information Science, 27(5), 292–306. DOI: 10.1002/asi.4630270505.
  37. Price, D. J. (1986). Little science, big science... and beyond. New York: Columbia University Press.
  38. Quinlan, K. M., Kane, M., & Trochim, W. M. (2008). Evaluation of large research initiatives: Outcomes, challenges, and methodological considerations. New directions for evaluation, 118, 61–72. DOI: 10.1002/ev.261
  39. Radicchi, F., Fortunato, S., & Castellano, C. (2008). Universality of citation distributions: Toward an objective measure of scientific impact. Proceedings of the National Academy of Sciences, 105(45), 17268–17272. DOI: 10.1073/pnas.0806977105.
  40. Ronda-Pupo, G. A. (2017). The citation-based impact of complex innovation systems scales with the size of the system. Scientometrics, 112(1), 141–151.
  41. Ronda-Pupo, G. A. (2021). Cuba—US scientific collaboration: Beyond the embargo. Plos one, 16(7), e0255106.
  42. Ronda-Pupo, G. A., & Katz, J. S. (2016). The power–law relationship between citation-based performance and collaboration in articles in management journals: A scale-independent approach. Journal of the Association for Information Science and Technology, 67(10), 2565–2572. DOI:10.1002/asi.23575.
  43. Ronda-Pupo, G. A., & Katz, J. S. (2017a). The scaling relationship between citation-based performance and coauthorship patterns in natural sciences. Journal of the Association for Information Science and Technology, 68(5), 1257–1265. DOI:10.1002/asi.23759.
  44. Ronda-Pupo, G. A., & Katz, J. S. (2017b). The scaling relationship between degree centrality of countries and their citation-based performance on Management Information Systems. Scientometrics, 112(3), 1285–1299.
  45. Ronda-Pupo, G. A., & Katz, J. S. (2018). The power law relationship between citation impact and multi-authorship patterns in articles in Information Science & Library Science journals. Scientometrics, 114, 919–932. DOI: 10.1007/s11192-017-2612-7.
  46. Roshani S., Coccia, M. Mosleh M., (2022). Senor technology for opening new pathways in diagnosis and therapeutics of breast, lung, colorectal and prostate cancer. HighTech and Innovation Journal. J. 3 (3) 356–375, https://doi.org/10.28991/HIJ-2022-03-03-010.
  47. Roshani, S., Bagherylooieh, M. R., Mosleh, M., & Coccia, M. (2021). What is the relationship between research funding and citation-based performance? A comparative analysis between critical disciplines. Scientometrics, 126(9), 7859–7874. DOI:10.1007/s11192-021-04077-9.
  48. 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, 8(1), 59–67. DOI: 10.1037/1089-2680.8.1.59.
  49. Singh, V. K., Singh, P., Karmakar, M., Leta, J., …, Mayr, P. (2021). The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis. Scientometrics, 126, 5113–5142.
  50. Small, H. (1999). Visualizing science by citation mapping. Journal of the American society for Information Science, 50(9), 799–813. DOI: 10.1002/(SICI)1097-4571
  51. Smith, L. D., Best, L. A., Stubbs, D. A., Johnston, J., & Archibald, A. B. (2000). Scientific graphs and the hierarchy of the sciences: A Latourian survey of inscription practices. Social studies of science, 30(1), 73–94. DOI: 10.1177/030631200030001003.
  52. Smith, R. J. (2009). Use and misuse of the reduced major axis for line-fitting. American Journal of Physical Anthropology, 140(3), 476–486.
  53. Stephan, P. E. (1996). The economics of science. Journal of Economic literature, 34(3), 1199–1235.
  54. Storer, N. W. (1967). The hard sciences and the soft: Some sociological observations. Bulletin of the Medical Library Association, 55(1), 75.
  55. Wang J., P. Shapira. (2015). Is There a Relationship between Research Sponsorship and Publication Impact? An Analysis of Funding Acknowledgments in Nanotechnology Papers. PLoS ONE 10, e0117727. DOI: 10.1371/journal.pone.0117727.
  56. Web of Science 2023. Web of Science, Search in: Web of Science Core Collection, http://apps.webofknowledge.com/WOS_GeneralSearch_input.do?product=WOS&SID=E5lSYgaLwJn 6kp2iz2G&search_mode=GeneralSearch (Accessed 10 May 2023)
  57. Yan, E. J, Wu, C. J., & Song, M. (2018). The funding factor: A cross-disciplinary examination of the association between research funding and citation impact. Scientometrics, 115, 369–384. DOI: 10.1007/s11192-017-2583-8.
DOI: https://doi.org/10.2478/jdis-2024-0005 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
Language: English
Page range: 71 - 89
Submitted on: Jul 25, 2023
Accepted on: Nov 22, 2023
Published on: Nov 19, 2024
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Mario Coccia, Saeed Roshani, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.