James P. Bagrow
- Statistical and Nonlinear Physics top 0.2%
- Artificial Intelligence top 2%
- Molecular Biology
- Computer Networks and Communications top 2%
- Transportation top 1%
- Co-authors
- Yong‐Yeol AhnSune LehmannAlbert-Ĺaszló BarabásiErik M. BolltDashun WangSebastian E. AhnertYu‐Ru LinBrian F. Tivnan
- Topics
- Complex Network Analysis Techniques (27 papers)Opinion Dynamics and Social Influence (14 papers)Human Mobility and Location-Based Analysis (10 papers)
- Partner nations
- United StatesGermanyDenmark
In The Last Decade
James P. Bagrow
53 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Statistical and Nonlinear Physics 1.7k
- Artificial Intelligence 613
- Molecular Biology 455
- Computer Networks and Communications 433
- Transportation 387
Countries citing papers authored by James P. Bagrow
This map shows the geographic impact of James P. Bagrow'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 James P. Bagrow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James P. Bagrow more than expected).
Fields of papers citing papers by James P. Bagrow
This network shows the impact of papers produced by James P. Bagrow. 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 James P. Bagrow. The network helps show where James P. Bagrow may publish in the future.
Co-authorship network of co-authors of James P. Bagrow
This figure shows the co-authorship network connecting the top 25 collaborators of James P. Bagrow. A scholar is included among the top collaborators of James P. Bagrow 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 James P. Bagrow. James P. Bagrow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 127 | |
| 11 | 16 | |
| 12 | 49 | |
| 13 | 24 | |
| 14 | Spatiotemporal features of human mobility | 1 |
| 15 | 43 | |
| 16 | 292 | |
| 17 | Response of human populations to large-scale emergencies | 3 |
| 18 | Link communities reveal multiscale complexity in networksbreakdown → | 1250 |
| 19 | Communities and Hierarchical Organization of Links in Complex Networks | 18 |
| 20 | 184 |
About James P. Bagrow
James P. Bagrow is a scholar working on Statistical and Nonlinear Physics, Computer Science Applications and Transportation, having authored 59 papers that have together received 3.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (27 papers), Opinion Dynamics and Social Influence (14 papers) and Human Mobility and Location-Based Analysis (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.7k citations), Transportation (387 citations) and Artificial Intelligence (613 citations). James P. Bagrow has collaborated with scholars based in United States, Germany and Denmark. Frequent co-authors include Yong‐Yeol Ahn, Sune Lehmann, Albert-Ĺaszló Barabási, Erik M. Bollt, Dashun Wang, Sebastian E. Ahnert, Yu‐Ru Lin, Brian F. Tivnan, Christopher M. Danforth and Peter Sheridan Dodds. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.