Travis Martin
Impact in
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- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
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- scientometrics and bibliometrics research
Papers in
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- Complex Network Analysis Techniques 8
- Opinion Dynamics and Social Influence 5
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- Graph theory and applications 2
- Co-authors
- M. E. J. Newman (6 shared papers)Xiao Zhang (2 shared papers)Xiao Zhang (1 shared paper)B. Ball (2 shared papers)Brian Karrer (1 shared paper)Grant Schoenebeck (1 shared paper)Amit Sharma (1 shared paper)Jake M. Hofman (1 shared paper)
- Journals
- Physical review. E (1 paper)Physical Review E (4 papers)arXiv (Cornell University) (1 paper)
- Partner nations
- United States
In The Last Decade
Travis Martin
7 papers receiving 446 citations
Peers
Comparison fields: 5 of 87
- Statistical and Nonlinear Physics 331
- Statistics, Probability and Uncertainty 42
- Geometry and Topology 39
- Experimental and Cognitive Psychology 40
- Modeling and Simulation 13
Countries citing papers authored by Travis Martin
This map shows the geographic impact of Travis Martin'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 Travis Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis Martin more than expected).
Fields of papers citing papers by Travis Martin
This network shows the impact of papers produced by Travis Martin. 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 Travis Martin. The network helps show where Travis Martin may publish in the future.
Co-authors
The 10 scholars most cited alongside Travis Martin, 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 | 2014 | 180 | |
| 2 | 2015 | 143 | |
| 3 | 2013 | 80 | |
| 4 | 2016 | 42 | |
| 5 | 2014 | 12 | |
| 6 | 2014 | 5 | |
| 7 | 2014 | 4 | |
| 8 | Exploring Limits to Prediction in Complex Social Systems: Predicting Cascade Size on Twitter | 2016 | 0 |
About Travis Martin
Travis Martin is a scholar working on Statistical and Nonlinear Physics, Geometry and Topology, Experimental and Cognitive Psychology, Molecular Biology and Strategy and Management, having authored 8 papers that have together received 466 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (5 papers), Graph theory and applications (2 papers), Mental Health Research Topics (2 papers), Digital Platforms and Economics (1 paper), Game Theory and Applications (1 paper), Misinformation and Its Impacts (1 paper) and Advanced Graph Theory Research (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (331 citations), Statistics, Probability and Uncertainty (42 citations), Geometry and Topology (39 citations), Experimental and Cognitive Psychology (40 citations) and Modeling and Simulation (13 citations). Travis Martin has collaborated with scholars based in United States. Frequent co-authors include M. E. J. Newman, Xiao Zhang, Xiao Zhang, B. Ball, Brian Karrer, Grant Schoenebeck, Amit Sharma, Jake M. Hofman, Duncan J. Watts and Ashton Anderson. Their work appears in journals such as Physical review. E, Physical Review E and arXiv (Cornell University).
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.