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 3
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- Complex Network Analysis Techniques 2
- Co-authors
- Satyam Mukherjee (2 shared papers)Benjamin F. Jones (2 shared papers)Brian Uzzi (2 shared papers)Luı́s A. Nunes Amaral (4 shared papers)Marta Sales‐Pardo (2 shared papers)Uri Wilensky (1 shared paper)Roger Guimerà (1 shared paper)Spiro Maroulis (1 shared paper)
- Journals
- Science (2 papers)Journal of Product Innovation Management (1 paper)PLoS ONE (1 paper)Journal of the American Society for Information Science and Technology (1 paper)PhDT (1 paper)
- Partner nations
- United StatesCanadaSpain
In The Last Decade
Michael J. Stringer
7 papers receiving 1.1k citations
Michael J. Stringer's Hit Papers
Peers
Comparison fields: 5 of 123
- Statistics, Probability and Uncertainty 456
- Information Systems and Management 170
- Management of Technology and Innovation 140
- Statistical and Nonlinear Physics 185
- Computer Science Applications 68
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 12 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 | 898 |
| 2 | 2008 | 117 | |
| 3 | 2010 | 68 | |
| 4 | 2010 | 57 | |
| 5 | 2015 | 34 | |
| 6 | 2010 | 4 | |
| 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, Statistical and Nonlinear Physics, Communication, Strategy and Management and Sociology and Political Science, having authored 7 papers that have together received 1.2k indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (3 papers), Complex Network Analysis Techniques (2 papers), Innovation, Sustainability, Human-Machine Systems (1 paper), Knowledge Management and Sharing (1 paper), Innovative Teaching and Learning Methods (1 paper), School Choice and Performance (1 paper), Innovation and Knowledge Management (1 paper) and Mental Health Research Topics (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (456 citations), Information Systems and Management (170 citations), Management of Technology and Innovation (140 citations), Statistical and Nonlinear Physics (185 citations) and Computer Science Applications (68 citations). Michael J. Stringer has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Satyam Mukherjee, Benjamin F. Jones, Brian Uzzi, Luı́s A. Nunes Amaral, Marta Sales‐Pardo, Uri Wilensky, Roger Guimerà, Spiro Maroulis, Adilson E. Motter and Wallace J. Hopp. Their work appears in journals such as Science, Journal of Product Innovation Management, PLoS ONE, Journal of the American Society for Information Science and Technology and PhDT.
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.