Jos Winnink

472 total citations
20 papers, 332 citations indexed

About

Jos Winnink is a scholar working on Statistics, Probability and Uncertainty, Management of Technology and Innovation and Information Systems and Management. According to data from OpenAlex, Jos Winnink has authored 20 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics, Probability and Uncertainty, 6 papers in Management of Technology and Innovation and 5 papers in Information Systems and Management. Recurrent topics in Jos Winnink's work include scientometrics and bibliometrics research (13 papers), Intellectual Property and Patents (4 papers) and Research Data Management Practices (3 papers). Jos Winnink is often cited by papers focused on scientometrics and bibliometrics research (13 papers), Intellectual Property and Patents (4 papers) and Research Data Management Practices (3 papers). Jos Winnink collaborates with scholars based in Netherlands, China and South Africa. Jos Winnink's co-authors include Robert Tijssen, Anthony F. J. van Raan, Haiyun Xu, Alfredo Yegros, Ziqiang Liu, Huiling Zhang, Chao Wang, Rui Luo, Huawei Wu and Liang Chen and has published in prestigious journals such as PLoS ONE, Technological Forecasting and Social Change and Scientometrics.

In The Last Decade

Jos Winnink

20 papers receiving 321 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jos Winnink 135 69 61 51 44 20 332
Clara Calero‐Medina 258 1.9× 31 0.4× 67 1.1× 82 1.6× 39 0.9× 9 496
Liying Yang 169 1.3× 22 0.3× 75 1.2× 55 1.1× 45 1.0× 56 411
Edgar Schiebel 102 0.8× 25 0.4× 43 0.7× 72 1.4× 33 0.8× 24 314
Diana Lucio‐Arias 74 0.5× 42 0.6× 50 0.8× 35 0.7× 30 0.7× 14 303
H. -J. Czerwon 262 1.9× 32 0.5× 51 0.8× 110 2.2× 51 1.2× 11 507
James A. Humenik 55 0.4× 71 1.0× 50 0.8× 74 1.5× 42 1.0× 8 388
Darrell Ray Toothman 54 0.4× 54 0.8× 51 0.8× 70 1.4× 33 0.8× 9 362
Henry J. Eberhart 49 0.4× 54 0.8× 46 0.8× 57 1.1× 27 0.6× 7 319
H. Grupp 111 0.8× 75 1.1× 123 2.0× 38 0.7× 14 0.3× 18 363
Yoshiko Okubo 315 2.3× 80 1.2× 111 1.8× 107 2.1× 107 2.4× 19 586

Countries citing papers authored by Jos Winnink

Since Specialization
Citations

This map shows the geographic impact of Jos Winnink's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jos Winnink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jos Winnink more than expected).

Fields of papers citing papers by Jos Winnink

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jos Winnink. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jos Winnink. The network helps show where Jos Winnink may publish in the future.

Co-authorship network of co-authors of Jos Winnink

This figure shows the co-authorship network connecting the top 25 collaborators of Jos Winnink. A scholar is included among the top collaborators of Jos Winnink based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jos Winnink. Jos Winnink is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Jian, et al.. (2025). Collaboration networks and radical innovation: Two faces of tie strength and structural holes. Journal of Informetrics. 19(1). 101636–101636. 2 indexed citations
2.
Wang, Jian, et al.. (2024). Turning creative ideas into successful innovations: differential effects of network structure for radical and incremental innovation. The Journal of Technology Transfer. 50(5). 2018–2038. 3 indexed citations
3.
Xu, Haiyun, et al.. (2022). A methodology for identifying breakthrough topics using structural entropy. Information Processing & Management. 59(2). 102862–102862. 29 indexed citations
4.
Xu, Haiyun, et al.. (2022). Breakthrough potential of emerging research topics based on citation diffusion features. Journal of Information Science. 49(5). 1390–1416. 5 indexed citations
5.
Tijssen, Robert & Jos Winnink. (2022). Global and Local Research Excellence in Africa: New Perspectives on Performance Assessment and Funding. Science Technology and Society. 27(3). 368–387. 5 indexed citations
6.
Xu, Haiyun, et al.. (2022). Disambiguating the definitions of the concept ‘transformative innovation’. Journal of Information Science. 49(4). 932–951. 1 indexed citations
7.
Xu, Haiyun, et al.. (2021). Using the catastrophe theory to discover transformative research topics. Research Evaluation. 31(1). 61–79. 6 indexed citations
8.
Xu, Haiyun, et al.. (2020). Multidimensional Scientometric indicators for the detection of emerging research topics. Technological Forecasting and Social Change. 163. 120490–120490. 36 indexed citations
9.
Xu, Haiyun, et al.. (2020). Topic-linked innovation paths in science and technology. Journal of Informetrics. 14(2). 101014–101014. 43 indexed citations
10.
Raan, Anthony F. J. van & Jos Winnink. (2019). The occurrence of ‘Sleeping Beauty’ publications in medical research: Their scientific impact and technological relevance. PLoS ONE. 14(10). e0223373–e0223373. 13 indexed citations
11.
Winnink, Jos, Robert Tijssen, & Anthony F. J. van Raan. (2018). Searching for new breakthroughs in science: How effective are computerised detection algorithms?. Technological Forecasting and Social Change. 146. 673–686. 26 indexed citations
12.
Tijssen, Robert & Jos Winnink. (2017). Capturing ‘R&D excellence’: indicators, international statistics, and innovative universities. Scientometrics. 114(2). 687–699. 20 indexed citations
13.
Raan, Anthony F. J. van & Jos Winnink. (2017). Do younger Sleeping Beauties prefer a technological prince?. Scientometrics. 114(2). 701–717. 29 indexed citations
14.
Winnink, Jos. (2017). Early-stage detection of breakthrough-class scientific research : using micro-level citation dynamics. Leiden Repository (Leiden University). 5 indexed citations
15.
Tijssen, Robert & Jos Winnink. (2016). Twenty-first century macro-trends in the institutional fabric of science: bibliometric monitoring and analysis. Scientometrics. 109(3). 2181–2194. 23 indexed citations
16.
Tijssen, Robert, Alfredo Yegros, & Jos Winnink. (2016). University–industry R&D linkage metrics: validity and applicability in world university rankings. Scientometrics. 109(2). 677–696. 29 indexed citations
17.
Winnink, Jos, Robert Tijssen, & Anthony F. J. van Raan. (2015). Theory‐changing breakthroughs in science: The impact of research teamwork on scientific discoveries. Journal of the Association for Information Science and Technology. 67(5). 1210–1223. 11 indexed citations
18.
Winnink, Jos, et al.. (2014). Academic inventions and patents in the Netherlands: A case study on business sector exploitation. World Patent Information. 38. 27–32. 6 indexed citations
19.
Winnink, Jos & Robert Tijssen. (2014). Early stage identification of breakthroughs at the interface of science and technology: lessons drawn from a landmark publication. Scientometrics. 102(1). 113–134. 18 indexed citations
20.
Winnink, Jos & Robert Tijssen. (2014). R&D dynamics and scientific breakthroughs in HIV/AIDS drugs development: the case of Integrase Inhibitors. Scientometrics. 101(1). 1–16. 22 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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