Michael J. Stringer
Impact in
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- scientometrics and bibliometrics research
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- Interdisciplinary Research and Collaboration
Papers in
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- scientometrics and bibliometrics research 4
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- Interdisciplinary Research and Collaboration 2
- Co-authors
- Brian Uzzi (3 shared papers)Benjamin F. Jones (3 shared papers)Satyam Mukherjee (3 shared papers)Luı́s A. Nunes Amaral (4 shared papers)Marta Sales‐Pardo (2 shared papers)Spiro J. Maroulis (1 shared paper)Roger Guimerà (1 shared paper)Uri Wilensky (1 shared paper)
- Journals
- Science (2 papers)PLoS ONE (1 paper)Journal of Product Innovation Management (1 paper)PhDT (1 paper)Knowledge and space (1 paper)
- Partner nations
- United StatesSpainRussia
In The Last Decade
Michael J. Stringer
7 papers receiving 1.2k citations
Michael J. Stringer's Hit Papers
Peers
Comparison fields: 5 of 127
- Statistics, Probability and Uncertainty 482
- Information Systems and Management 177
- Management of Technology and Innovation 131
- Statistical and Nonlinear Physics 201
- Computer Science Applications 65
Countries citing papers authored by Michael J. Stringer
This map shows the geographic impact of Michael J. Stringer'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 Michael J. Stringer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Stringer more than expected).
Fields of papers citing papers by Michael J. Stringer
This network shows the impact of papers produced by Michael J. Stringer. 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 Michael J. Stringer. The network helps show where Michael J. Stringer may publish in the future.
Co-authors
The 9 scholars most cited alongside Michael J. Stringer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Atypical Combinations and Scientific Impact Hit paper breakdown → | 2013 | 934 |
| 2 | 2008 | 129 | |
| 3 | 2010 | 78 | |
| 4 | 2010 | 67 | |
| 5 | 2015 | 36 | |
| 6 | 2017 | 5 | |
| 7 | A complex systems approach to bibliometrics | 2009 | 3 |
About Michael J. Stringer
Michael J. Stringer is a scholar working on Statistics, Probability and Uncertainty, Information Systems and Management, Statistical and Nonlinear Physics, Computer Science Applications and Experimental and Cognitive Psychology, having authored 7 papers that have together received 1.3k indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (4 papers), Complex Network Analysis Techniques (2 papers), Interdisciplinary Research and Collaboration (2 papers), Mental Health Research Topics (1 paper), Research Data Management Practices (1 paper), Innovation, Sustainability, Human-Machine Systems (1 paper), Online Learning and Analytics (1 paper) and Innovation and Knowledge Management (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (482 citations), Information Systems and Management (177 citations), Management of Technology and Innovation (131 citations), Statistical and Nonlinear Physics (201 citations) and Computer Science Applications (65 citations). Michael J. Stringer has collaborated with scholars based in United States, Spain and Russia. Frequent co-authors include Brian Uzzi, Benjamin F. Jones, Satyam Mukherjee, Luı́s A. Nunes Amaral, Marta Sales‐Pardo, Spiro J. Maroulis, Roger Guimerà, Uri Wilensky and Adilson E. Motter. Their work appears in journals such as Science, PLoS ONE, Journal of Product Innovation Management, PhDT and Knowledge and space.
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.