Jian Wang is Assistant Professor of Technological Innovation, Entrepreneurship, and Strategic Management at SBB.
Jian Wang is Assistant Professor of Technological Innovation, Entrepreneurship, and Strategic Management at SBB. Before joining Leiden University he was fellow at the Labor and Worklife Program, Harvard Law School (USA) and postdoctoral fellow at the Department of Managerial Economics, Strategy and Innovation, KU Leuven (Belgium). He studies science and innovation and in particular the interface between them, integrating various disciplinary perspectives, such as economics, sociology, management, and public policy. His recent research focuses on novelty in science and innovation, factors stimulating novel research, such as funding schemes and team and network structures, and the translation of science into innovation. His research builds on big data analytics and advanced statistical and data mining methods. He holds a Ph.D. degree in Public Policy and a M.S. degree in Statistics, both from Georgia Institute of Technology (USA), and a M.A. degree in Applied Economics and a B.A. degree in Journalism, both from Tsinghua University (China). He currently serves on the editorial board of Research Evaluation. At SBB he teaches the Business Research Methods course and oversees SBB internships.
For more information see his personal webpage
- Faculteit der Sociale Wetenschappen
- Shibayama S. & Wang J. (2020), Measuring originality in science, Scientometrics 122: 409–427.
- Veugelers R. & Wang J. (2019), Scientific novelty and technological impact, Research Policy 48(6): 1362-1372.
- Verberne S., Chios G. & Wang J. (2019), Extracting and Matching Patent In-text References to Scientific Publications. In: Chandrasekaran M.K., Mayr P. (red.) Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019). nr. 2414: CEUR-WS. 56-69.
- Wang J., Lee Y.-N. & Walsh J.P. (2018), Funding model and creativity in science: Competitive versus block funding and status contingency effects, RESEARCH POLICY 47(6): 1070-1083.
- Wang J., Veugelers R. & Stephan P. (2017), Bias against novelty in science: A cautionary tale for users of bibliometric indicators, RESEARCH POLICY 46(8): 1416-1436.
- Wang J. (2017), Search for evergreens in science: A functional data analysis, Journal of Informetrics 11(3): 629-644.
- Stephan P., Veugelers R. & Wang J. (2017), Blinkered by bibliometrics, NATURE 544(7651): 411-412.
- Wang J. (2016), Knowledge creation in collaboration networks: Effects of tie configuration, RESEARCH POLICY 45(1): 68-80.
- Wang J. (2015), Interdisciplinarity and Impact: Distinct Effects of Variety, Balance, and Disparity, Plos One 10(5): 0127298.
- Lee Y., Walsh J. & Wang J. (2015), Creativity in scientific teams: Unpacking novelty and impact, RESEARCH POLICY 44(3): 684-697.
- Wang J. & Hicks D. (2015), Scientific teams: Self-assembly, fluidness, and interdependence, Journal of Informetrics 9(1): 197-207.
- Wang J., Liang Z. & Xue L. (2014), Multinational R&D in China: differentiation and integration of global R&D networks, INTERNATIONAL JOURNAL OF TECHNOLOGY MANAGEMENT 65(1-4): 96-124.
- Wang J., Mei Y. & Hicks D. (2014), Comment on "Quantifying long-term scientific impact", SCIENCE 345(6193): 149.
- Wang J. (2014), Unpacking the Matthew effect in citations, Journal of Informetrics 8(2): 329-339.
- Bornmann L., Leydesdorff L. & Wang J. (2014), How to improve the prediction based on citation impact percentiles for years shortly after the publication date?, Journal of Informetrics 8(1): 175-180.
- Bornmann L., Leydesdorff L. & Wang J. (2013), Which percentile-based approach should be preferred for calculating normalized citation impact values? An empirical comparison of five approaches including a newly developed citation-rank approach (P100), Journal of Informetrics 7(4): 933-944.
- Hicks D. & Wang J. (2013), The New York Times as a Resource for Mode 2, Science Technology & Human Values 38(6): 851-877.
- Wang J. & Hicks D. (2013), Detecting structural change in university research systems: A case study of British research policy, Research Evaluation 22(4): 258-268.
- Wang J. (2013), Citation time window choice for research impact evaluation, Scientometrics 94(3): 851-872.
- Wang J., Berzins K., Hicks D., Melkers J., Xiao F. & Pinheiro D. (2012), A boosted-trees method for name disambiguation, Scientometrics 93(2): 391-411.
- Wang J., Xue L. & Liang Z. (2012), Multinational R&D in China: From home-country-based to host-country-based, INNOVATION-MANAGEMENT POLICY & PRACTICE 14(2): 192-202.
- Hicks D. & Wang J. (2011), Coverage and Overlap of the New Social Sciences and Humanities Journal Lists, Journal of the American Society for Information Science and Technology 62(2): 284-294.
- Visiting Assistant Professor