Current Science

Open Access Open Access  Restricted Access Subscription Access

Big Names in Innovation Research:A Bibliometric Overview


Affiliations
1 Department of Management Control and Information Systems, University of Chile, Av. Diagonal Paraguay 257, 8330015 Santiago, Chile
 

Over the last few years, an increasing number of scientific studies related to innovation research has been carried out. The present study analyses innovation research developed between 1989 and 2013. It uses the Web of Science database and provides several author-level bibliometric indicators including the total number of publications and citations, and the h-index. The results indicate that the most influential professors over the last 25 years, according to their highest h-index, are David Audretsch, Michael Hitt, Shaker Zahra, Rajshree Agarwal, Eric Von Hippel, David Teece, Will Mitchell and Robert Cooper. Among these authors, it is possible to demonstrate that they are not necessarily the most productive authors, with the highest number of publications; however, they are the most influential, with the highest number of citations. The incorporation of a larger number of journals to the Web of Science has granted different authors access to publish their work on innovation research.

Keywords

Bibliometrics, Innovation Research, Ranking, Web of Science.
User
Notifications
Font Size

  • Fagerberg, J. and Verspagen, B., Innovation studies: the emerging structure of a new scientific field. Res. Policy, 2009, 38, 218–233.

  • Martin, B. R., The evolution of science policy and innovation studies. Res. Policy, 2012, 41, 1219–1239.

  • Shafique, M., Thinking inside the box: Intellectual structure of the knowledge base of innovation research (1988–2008). Strategic Manage. J., 2013, 34, 62–93.

  • Cancino, C., Merigó, J. M. and Palacios-Marqués, D., A bibliometric analysis of innovation research. CID Working Papers, 2015-02, University of Chile, Santiago, 2015.

  • Fagerberg, J., Fosaas, M. and Sapprasert, K., Innovation: exploring the knowledge base. Res. Policy, 2012, 41, 1132–1153.

  • Freeman, C., The Economics of Industrial Innovation, Penguin, Harmondsworth, 1974.

  • Schumpeter, J. A., The Theory of Economic Development, Harvard University Press, Cambridge, Massachusetts, 1934.

  • Schumpeter, J. A., Capitalism, Socialism e Democracy, Harper and Row, New York, 1942.

  • Arrow, K. J., The economic implications of learning by doing. Rev. Econ. Stud., 1962, 29, 155–173.

  • Schmookler, J., Invention and Economic Growth, Harvard University Press, Cambridge, MA, 1966.

  • Rosenberg, N., Perspectives on Technology, Cambridge University Press, New York, 1976.

  • Nelson, R. and Winter, S., In search of a useful theory of innovation. Res. Policy, 1977, 6(1), 36–76.

  • Freeman, C., Clark, J. and Soete, L., Unemployment and Technical Innovation: A Study of Long Waves and Economic Development, Pinter, London, 1982.

  • Pavitt, K., Sectoral patterns of technical change: towards a taxonomy and theory. Res. Policy, 1984, 13, 343–373.

  • Rosenberg, N., Inside the Black Box: Technology and Economics, Cambridge University Press, New York, 1982.

  • Teece, D., Profiting from technological innovation: implications for integration collaboration, licensing and public policy. Res. Policy, 1986, 15, 285–305.

  • Nelson, R. and Winter, S., An Evolutionary Theory of Economic Change, Ballknap Press, Cambridge, 1982.

  • Nelson, R., National Innovation Systems: A Comparative Analysis, Oxford University Press, New York, 1993.

  • Cohen, W. and Levinthal, D., Innovation and learning: two faces of R&D. Econ. J., 1989, 99(397), 569–596.

  • Cohen, W. and Levinthal, D., Absorptive capacity: a new perspective on learning and innovation. Admin. Sci. Q., 1990, 35, 128–152.

  • Lundvall, B., National Systems of Innovation: Towards a Theory of Innovation and Interactive Learning, Pinter, London, 1992, 275–305.

  • Thieme, J., Perspective: the world’s top innovation management scholars and their social capital. J. Prod. Innovat. Manage., 2007, 24(3), 214–229.

  • Yang, P. and Tao, L., Perspective: Ranking of the world’s top innovation management scholars and universities. J. Prod. Innov. Manage., 2012, 29(2), 319–331.

  • Linton, J. D. and Thongpapanl, N., Perspective: Ranking the technology innovation management journals. J. Prod. Innovat. Manage., 2004, 21(2), 123–139.

  • Biemans, W., Griffin, A. and Moenaert, R., Twenty years of the Journal of Product Innovation Management: History, participants, and knowledge stock and flows. J. Prod. Innovat. Manage., 2007, 24, 193–213.

  • Biemans, W., Griffin, A., and Moenaert, R., In search of the classics: a study of the impact of JPIM papers from 1984 to 2003. J. Product Innovat. Manage., 2010, 27, 461–484.

  • Durisin, B., Calabretta, G. and Parmeggiani, V., The intellectual structure of product innovation research: a bibliometric study of the Journal of Product Innovation Management, 1984–2004. J. Prod. Innovat. Manage., 2010, 27, 437–451.

  • Chatterjee, D. and Sahasranamam, S., Trends in innovation management research in India – an analysis of publications for the period 1991–2013. Curr. Sci., 2014, 107(11), 1800–1805.

  • Broadus, R. N., Toward a definition of bibliometrics. Scientometrics, 1987, 12, 373–379.

  • Merigó, J. M., Gil-Lafuente, A. M. and Yager, R. R., An overview of fuzzy research with bibliometric indicators. Appl. Soft Comput., 2015, 27, 420–433.

  • Hirsch, J. E., An index to quantify an individual’s scientific research output. Proc. Natl. Acad. Sci. USA, 2005, 16569–16572.

  • Podsakoff, P. M., MacKenzie, S. B., Podsakoff, N. P. and Bachrach, D. G., Scholarly influence in the field of management: a bibliometric analysis of the determinants of university and author impact in the management literature in the past quarter century. J. Manage., 2008, 34, 641–720.

  • Bonilla, C., Merigó, J. M. and Torres-Abad, C., Economics in Latin America: a bibliometric analysis. Scientometrics, 2015, 105, 1239–1252.

  • Alonso, S., Cabrerizo, F. J., Herrera-Viedma, E. and Herrera, F., hIndex: A review focused in its variants, computation and standardization for different scientific fields. J. Informetr., 2009, 3, 273–289.

  • Egghe, L., Theory and practice of the g-index. Scientometrics, 2006, 69(1), 131–152.

  • Prathap, G., Is there a place for a mock h-index? Scientometrics, 2010, 84, 153–165.

  • Prathap, G., The 100 most prolific economists using the p-index. Scientometrics, 2010, 84, 167–172.

  • Merigó, J. M., Cancino, C. Coronado, F. and Urbano, D., Academic research in innovation: a country analysis. Scientometrics, 2016, 108, 559–593.

  • Van Eck, N. J. and Waltman, L., Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 2010, 84, 523–538.

  • Martyn, J., Bibliographic coupling. J. Doc., 1964, 20, 236.

  • Small, H., Co-citation in the scientific literature: a new measure of the relationship between two documents. J. Am. Soc. Inf. Sci., 1973, 24, 265–269.


Abstract Views: 252

PDF Views: 71




  • Big Names in Innovation Research:A Bibliometric Overview

Abstract Views: 252  |  PDF Views: 71

Authors

Christian A. Cancino
Department of Management Control and Information Systems, University of Chile, Av. Diagonal Paraguay 257, 8330015 Santiago, Chile
Jose M. Merigo
Department of Management Control and Information Systems, University of Chile, Av. Diagonal Paraguay 257, 8330015 Santiago, Chile
Freddy C. Coronado
Department of Management Control and Information Systems, University of Chile, Av. Diagonal Paraguay 257, 8330015 Santiago, Chile

Abstract


Over the last few years, an increasing number of scientific studies related to innovation research has been carried out. The present study analyses innovation research developed between 1989 and 2013. It uses the Web of Science database and provides several author-level bibliometric indicators including the total number of publications and citations, and the h-index. The results indicate that the most influential professors over the last 25 years, according to their highest h-index, are David Audretsch, Michael Hitt, Shaker Zahra, Rajshree Agarwal, Eric Von Hippel, David Teece, Will Mitchell and Robert Cooper. Among these authors, it is possible to demonstrate that they are not necessarily the most productive authors, with the highest number of publications; however, they are the most influential, with the highest number of citations. The incorporation of a larger number of journals to the Web of Science has granted different authors access to publish their work on innovation research.

Keywords


Bibliometrics, Innovation Research, Ranking, Web of Science.

References





DOI: https://doi.org/10.18520/cs%2Fv113%2Fi08%2F1507-1518