Abramo, G., D’Angelo, C., & Caprasecca, A. (2009). The contribution of star scientists to differences in research productivity. Scientometrics, 81(3), 136–156.
Amabile, T. M., Conti, R., Lazenby, J., & Herron, M. (1996). Assessing the work environment for creativity. Academy of Management Journal, 39(5), 1154–1183.
Antonelli, C., Franzoni, C., & Geuna, A. (2011). The organization, economics, and policy of scientific research: what we do know and what we don’t know—an agenda for research. Industrial and Corporate Change, 20(1), 201–213.
Baird, L. L. (1986). What characterizes a productive research department? Research in Higher Education, 25(3), 211–225.
Bikard, M., Murray, F., & Gans, J. S. (2015). Exploring trade-offs in the organization of scientific work: collaboration and scientific reward. Management Science, 61(7), 1473–1495.
Bland, C. J., & Ruffin, M. T. (1992). Characteristics of a productive research environment: literature review. Academic Medicine, 67(6), 385–397.
Bloch, R., Mitterle, A., Paradeise, C., & Peter, T. (2018). Universities and the production of elites. Cham: Palgrave Macmillan.
Bosquet, C., & Combes, P. P. (2013). Are academics who publish more also more cited? Individual determinants of publication and publication records. Scientometrics, 97(3), 831–857.
Bozeman, B., & Youtie, J. (2017). The strength of numbers: the new science of team science. Princeton: Princeton University Press.
Braxton, J. M. (1983). Departmental colleagues and individual faculty publication productivity. The Review of Higher Education, 6(2), 115–128.
Braxton, J. M., & Del Favero, M. (2002). Evaluating scholarship performance: traditional and emergent assessment templates. New Directions for Institutional Research, 114, 19–32.
Campbell, R. A. (2003). Preparing the next generation of scientists: the social process of managing students. Social Studies of Science, 33(6), 897–927.
Carayol, N., & Matt, M. (2004). Does research organization influence academic production? Laboratory level evidence from a large European university. Research Policy, 33(8), 1081–1102.
Ceci, S. J., Ginther, D. K., Kahn, S., & Williams, W. M. (2014). Women in academic science: a changing landscape. Psychological Science in the Public Interest, 15(3), 75–141.
Collins, R. (2019). The credential society: a historical sociology of education and stratification. New York: Columbia University Press.
Computing Research Association. (1999). Best Practices Memo: Evaluating computer scientists and engineers for promotion and tenure. Computing Research News, A-B.
Cummings, W. & Finkelstein, M. (2012) Scholars in the changing American Academy. Springer.
Dillman, D. A., Smyth, J. & Christian, L. M. (2014). Internet, phone, mail, and mixed-mode surveys: the tailored design method. John Wiley & Sons.
DiPrete, T. R. & Eirich, G. (2006). Cumulative advantage as a mechanism for inequality: a review of theoretical and empirical developments. Annual Review of Sociology, 32, 271–297.
Ehrenberg, R., Zuckerman, H., Groen, J., & Brucker, S. (2009). Changing the education of scholars: an introduction to the Andrew W. Mellon Foundation’s Graduate Education Initiative. In R. Ehrenberg & C. Kuh (Eds.), Doctoral education and the faculty of the future (pp. 15–34). Ithaca: Cornell University Press.
Fairweather, J. S. (2005). Beyond the rhetoric: trends in the relative value of teaching and research in faculty salaries. The Journal of Higher Education, 76(4), 401–422.
Fox, M. F. (1985). Publication, performance, and reward in science and scholarship. Higher Education: Handbook of Theory and Research, 1, 255–282.
Fox M. F. (2020) Gender, science, and academic rank: Key issues and approaches. Quantitative Science Studies, 1(3), 1001–1006
Fox, M. F., & Mohapatra, S. (2007). Social-organizational characteristics of work and publication productivity among academic scientists in doctoral-granting departments. The Journal of Higher Education, 78(5), 542–571.
Fox, M. F., Whittington, K. B., & Linkova, M. (2017). Gender, (in) equity, and the scientific workforce. In U. Felt, R. Fouche, C. Miller, & L. Smith-Doerr (Eds.), Handbook of science and technology studies. (pp. 701–731). MIT Press.
Garg, K. C., & Padhi, P. (2000). Scientometrics of prolific and non-prolific authors in laser science and technology. Scientometrics, 49(3), 359–371.
Garrison, H. H., Herman, S. S., & Lipton, J. A. (1992). Measuring characteristics of scientific research: a comparison of bibliographic and survey data. Scientometrics, 24(2), 359–370.
Glynn, M. A. (1996). Innovative genius: a framework for relating individual and organizational intelligences to innovation. Academy of Management Review, 21(4), 1081–1111.
Hicks, D., & Katz, J. S. (2011). Equity and excellence in research funding. Minerva, 49(2), 137–151.
Ioannidis, J., Boyack, K., & Klavans, R. (2014). Estimates of the continuously publishing core in the scientific workforce. PLoS One, 9(7), e101698.
Jaccard, J. (2001). Interaction effects in logistic regression. Sage University papers series on quantitative applications in the social sciences, 07–135. Thousand Oakes: Sage.
Katz, J. S., & Martin, B. R. (1997). What is research collaboration? Research Policy, 26(1), 1–18.
Klavans, R., & Boyack, K. (2011). Scientific superstars and their effect on the evolution of science. Paper presented at science and technology indicators conference, Rome, Italy.
Kuenzi, M., & Schminke, M. (2009). Assembling fragments into a lens: a review, critique, and proposed research agenda for the organizational work climate literature. Journal of Management, 35(3), 634–717.
Kwiek, M. (2016). The European research elite: a cross-national study of highly productive academics in 11 countries. Higher Education, 71(3), 379–397.
Kwiek, M. (2018). High research productivity in vertically undifferentiated higher education systems: who are the top performers? Scientometrics, 115(1), 415–462.
Kwiek, M. (2019). Changing European academics: a comparative study of social stratification, work patterns and research productivity. London: Routledge.
Lawrence, P. A. (2007). The mismeasurement of science. Current Biology, 17(15), R583–R585.
Lee, S., & Bozeman, B. (2005). The impact of research collaboration on scientific productivity. Social Studies of Science, 35(5), 673–702.
Lincoln, A. E., Pincus, S., Koster, J. B., & Leboy, P. S. (2012). The Matilda effect in science: awards and prizes in the US, 1990s and 2000s. Social Studies of Science, 42(2), 307–320.
Long, J. S., & Fox, M. F. (1995). Scientific careers: universalism and particularism. Annual Review of Sociology, 21(1), 45–71.
Louis, K. S., Holdsworth, J. M., Anderson, M. S., & Campbell, E. G. (2007). Becoming a scientist: the effects of work-group size and organizational climate. The Journal of Higher Education, 78(3), 311–336.
Mairesse, J., & Pezzoni, M. (2015). Does gender affect scientific performance? Revue Economique, 66(1), 65–114.
Marginson, S. (2014) University research: the social contribution of university research. In J. C. Shin & U. Teichler (Eds.), The Future of the Post-massified University at the Crossroads (pp. 101–118). Springer International Publishing.
Menard, S. W. (2010). Logistic regression: from introductory to advanced concepts and applications. Los Angeles: Sage.
Merton, R. (1968). The Matthew effect in science. Science, 159(January), 56–63.
Montgomery, S. L. (1994). Minds for the making. In The role of science in American education, 1750–1900. New York: Guilford Press.
National Science Board. (2016). Science and Engineering Indicators (NSB-2016). Arlington: National Science Foundation.
Newman, M. E. J. (2005). Power laws, Pareto distributions, and Zipf’s law. Contemporary Physics, 46(5), 323–351.
Pao, M. (1991). On the relationship of funding and research publications. Scientometrics, 20(1), 257–281.
Parker, J., Lortie, C., & Allesina, S. (2010). Characterizing a scientific elite: the social characteristics of the world’s most highly cited scientists in environmental science and ecology. Scientometrics, 85(1), 129–143.
Parker, J., Allesina, S., & Lortie, C. (2013). Characterizing a scientific elite (B): publication and citation patterns of the most highly cited scientists in environmental science and ecology. Scientometrics, 94(2), 469–480.
Patterson, M. G., West, W. A., Shackelton, V., Dawson, J. F., Lathom, R., Maitlis, S., Robinson, D., & Wallace, S. M. (2005). Validating the organizational climate measure. Journal of Organizational Behavior, 26(4), 379–408.
Peduzzi, P., Concato, J., Kemper, E., Holford, T. R., & Feinstein, A. R. (1996). A simulation study of the number of events per variable in logistic regression analysis. Journal of Clinical Epidemiology, 49(12), 1373–1379.
Pei, R., & Porter, A. L. (2011). Profiling leading scientists in nanobiomedical science: interdisciplinarity and potential leading indicators of research directions. R&D Management, 41(3), 288–306.
Pelz, D., & Andrews, F. (1976). Scientists in organizations: productive climates for research and development. Ann Arbor: Institute for Social Research.
Prpić, K. (1996). Characteristics and determinants of eminent scientists’ productivity. Scientometrics, 36(2), 185–206.
Ramsden, P. (1994). Describing and explaining research productivity. Higher Education, 28(2), 207–226.
Root-Berstein, R. S., Berstein, M., & Garnier. (1995). Correlations between avocations, scientific style, work habits, and professional impact of scientists. Creativity Research Journal, 8(2), 115–137.
Rørstad, K., & Aksnes, D. W. (2015). Publication rate expressed by age, gender and academic position—a large-scale analysis of Norwegian academic staff. Journal of Informetrics, 9(2), 317–333.
Roth, W., & Sonnert, G. (2011). The costs and benefits of ‘red tape’: anti-bureaucratic structure and gender inequity in a science research organization. Social Studies of Science, 41(3), 385–409.
Shwed, U., & Bearman, P. S. (2010). The temporal structure of scientific consensus formation. American Sociological Review, 75(6), 817–840.
Smeby, J. C., & Try, S. (2005). Departmental contexts and faculty research activity in Norway. Research in Higher Education, 46(6), 593–619.
Stephan, P. (2012). How economics shapes science. Cambridge: Harvard University Press.
Taylor, B. J., & Cantwell, B. (2019). Unequal higher education: Wealth, status, and student opportunity. Rutgers University Press.
Teodorescu, D. (2000). Correlates of faculty publication productivity: a cross-national analysis. Higher Education, 39(2), 201–222.
Torrisi, B. (2013). Academic productivity correlated with well-being at work. Scientometrics, 94(2), 801–815.
van den Besselaar, P., & Sandstrom, U. (2015). Does quantity make a difference? In A. Salah, & S. Sugimoto (Eds.), Proceedings of International Conference on Scientometrics and Informetrics (ISSI) (pp. 577–583). Istanbul, Turkey.
Wager, E., Singhvi, S., & Kleinert, S. (2015). Too much of a good thing? An observational study of prolific authors. PeerJ, 3, e1154. https://doi.org/10.7717/peerj.1154.
Warshaw, J. B., & Hearn, J. C. (2014). Leveraging university research to serve economic development: an analysis of policy dynamics in and across three US states. Journal of Higher Education Policy and Management, 36(2), 196–211.
Wolpert, L., & Richards, A. (2007). Passionate minds: The inner world of scientists. Oxford: Oxford University Press.
Wuchty, S., Jones, B., & Uzzi, B. (2007). The increasing dominance of teams in production of knowledge. Science, 316(5827), 1036–1039.
Xie, Y., & Shauman, K. (2003). Women in science: career processes and outcomes. Cambridge: Harvard University Press.
Zhang, J. Y. (2010). The organization of scientists and its relation to scientific productivity: perceptions of Chinese stem cell researchers. Biosocieties, 5(2), 219–235.