James P. Bagrow
- Statistical and Nonlinear Physics top 0.2%
- Complex Network Analysis Techniques 27
- Opinion Dynamics and Social Influence 14
- Transportation top 1%
- Human Mobility and Location-Based Analysis 10
- Artificial Intelligence top 2%
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- Mobile Crowdsensing and Crowdsourcing 9
- Open Source Software Innovations 4
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- Bioinformatics and Genomic Networks 5
- Gene Regulatory Network Analysis 4
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- Expert finding and Q&A systems 4
- Co-authors
- Yong‐Yeol AhnSune LehmannAlbert-Ĺaszló BarabásiErik M. BolltDashun WangSebastian E. AhnertYu‐Ru LinBrian F. Tivnan
- 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
- Transportation 387
- Artificial Intelligence 613
- Computer Networks and Communications 433
- Experimental and Cognitive Psychology 235
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
The 25 scholars most cited alongside James P. Bagrow, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 1 | |
| 8 | 2019 | 1 | |
| 9 | 2017 | 6 | |
| 10 | 2017 | 127 | |
| 11 | 2015 | 16 | |
| 12 | 2014 | 49 | |
| 13 | 2013 | 24 | |
| 14 | Spatiotemporal features of human mobility | 2012 | 1 |
| 15 | 2012 | 43 | |
| 16 | 2011 | 292 | |
| 17 | Response of human populations to large-scale emergencies | 2010 | 3 |
| 18 | Link communities reveal multiscale complexity in networksbreakdown → | 2010 | 1250 |
| 19 | Communities and Hierarchical Organization of Links in Complex Networks | 2009 | 18 |
| 20 | 2005 | 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), Human Mobility and Location-Based Analysis (10 papers), Mobile Crowdsensing and Crowdsourcing (9 papers), Bioinformatics and Genomic Networks (5 papers), Expert finding and Q&A systems (4 papers), Gene Regulatory Network Analysis (4 papers) and Open Source Software Innovations (4 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.
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.