Travis Martin
- Statistical and Nonlinear Physics top 2%
- Artificial Intelligence
- Molecular Biology
- Computer Networks and Communications
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- M. E. J. NewmanXiao ZhangB. BallBrian KarrerMichael P. WellmanGrant SchoenebeckAmit SharmaAshton Anderson
- Topics
- Complex Network Analysis Techniques (8 papers)Opinion Dynamics and Social Influence (5 papers)Mental Health Research Topics (2 papers)
- Cited by
- Statistical and Nonlinear PhysicsStatistics, Probability and UncertaintyGeometry and Topology
- Journals
- Physical review. EPhysical Review EarXiv (Cornell University)
- Partner nations
- United States
In The Last Decade
Travis Martin
7 papers receiving 442 citations
Peers
Comparison fields: 5 of 90
- Statistical and Nonlinear Physics 331
- Artificial Intelligence 70
- Molecular Biology 62
- Computer Networks and Communications 42
- Statistics, Probability and Uncertainty 42
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-authorship network of co-authors of Travis Martin
This figure shows the co-authorship network connecting the top 25 collaborators of Travis Martin. A scholar is included among the top collaborators of Travis Martin 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 Travis Martin. Travis Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Exploring Limits to Prediction in Complex Social Systems: Predicting Cascade Size on Twitter | 0 |
| 2 | 42 | |
| 3 | 142 | |
| 4 | 12 | |
| 5 | 5 | |
| 6 | 180 | |
| 7 | 4 | |
| 8 | 78 |
About Travis Martin
Travis Martin is a scholar working on Statistical and Nonlinear Physics, Geometry and Topology and Experimental and Cognitive Psychology, having authored 8 papers that have together received 463 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (5 papers) and Mental Health Research Topics (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (331 citations), Statistics, Probability and Uncertainty (42 citations) and Geometry and Topology (39 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, Michael P. Wellman, Grant Schoenebeck, Amit Sharma, Ashton Anderson and Duncan J. Watts. 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.