James P. Bagrow

5.0k total citations · 2 hit papers
59 papers, 3.1k citations indexed

About

James P. Bagrow is a scholar working on Statistical and Nonlinear Physics, Computer Science Applications and Sociology and Political Science. According to data from OpenAlex, James P. Bagrow has authored 59 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistical and Nonlinear Physics, 12 papers in Computer Science Applications and 10 papers in Sociology and Political Science. Recurrent topics in James P. Bagrow's work include Complex Network Analysis Techniques (27 papers), Opinion Dynamics and Social Influence (14 papers) and Human Mobility and Location-Based Analysis (10 papers). James P. Bagrow is often cited by papers focused on Complex Network Analysis Techniques (27 papers), Opinion Dynamics and Social Influence (14 papers) and Human Mobility and Location-Based Analysis (10 papers). James P. Bagrow collaborates with scholars based in United States, Germany and Denmark. James P. Bagrow's 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 and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

James P. Bagrow

53 papers receiving 3.0k citations

Hit Papers

Link communities reveal multiscale complexity in networks 2010 2026 2015 2020 2010 2015 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
James P. Bagrow United States 19 1.7k 613 455 433 387 59 3.1k
Mikko Kivelä Finland 19 2.4k 1.5× 465 0.8× 430 0.9× 667 1.5× 239 0.6× 50 4.0k
Zengru Di China 28 1.7k 1.0× 382 0.6× 542 1.2× 612 1.4× 221 0.6× 173 3.3k
Sune Lehmann Denmark 32 2.0k 1.2× 654 1.1× 454 1.0× 494 1.1× 749 1.9× 102 4.8k
E. A. Leicht United States 10 1.6k 1.0× 630 1.0× 470 1.0× 322 0.7× 129 0.3× 12 2.7k
Jordi Duch Spain 17 2.8k 1.7× 1.0k 1.7× 691 1.5× 584 1.3× 158 0.4× 36 4.2k
Vincenzo Nicosia United Kingdom 25 1.7k 1.1× 327 0.5× 433 1.0× 732 1.7× 282 0.7× 67 3.4k
Hui‐Jia Li China 28 1.7k 1.0× 616 1.0× 244 0.5× 491 1.1× 130 0.3× 108 2.7k
Matthieu Latapy France 17 1.2k 0.7× 459 0.7× 279 0.6× 458 1.1× 103 0.3× 55 2.4k
Manuel Gomez-Rodriguez Germany 23 1.3k 0.8× 878 1.4× 176 0.4× 274 0.6× 234 0.6× 70 2.9k

Countries citing papers authored by James P. Bagrow

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Bagrow, James P. & Josh Bongard. (2025). Multi-exit Kolmogorov–Arnold networks: enhancing accuracy and parsimony. Machine Learning Science and Technology. 6(3). 35037–35037.
2.
Neal, Zachary P., Zack W. Almquist, James P. Bagrow, et al.. (2024). Recommendations for sharing network data and materials. Network Science. 12(4). 404–417.
3.
Bagrow, James P. & Yong‐Yeol Ahn. (2024). Working with Network Data. Cambridge University Press eBooks.
4.
Hébert‐Dufresne, Laurent, et al.. (2023). Hierarchical team structure and multidimensional localization (or siloing) on networks. Journal of Physics Complexity. 4(3). 35002–35002. 1 indexed citations
5.
Bagrow, James P., et al.. (2023). Revisiting Stylized Facts for Modern Stock Markets. SSRN Electronic Journal. 2 indexed citations
6.
Bagrow, James P., et al.. (2022). Accurate inference of crowdsourcing properties when using efficient allocation strategies. Scientific Reports. 12(1). 6849–6849. 1 indexed citations
7.
Alshaabi, Thayer, et al.. (2021). The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong. PLoS ONE. 16(3). e0247795–e0247795. 1 indexed citations
8.
Bagrow, James P., et al.. (2019). Autocompletion interfaces make crowd workers slower, but their use promotes response diversity. arXiv (Cornell University). 6. 42–55. 1 indexed citations
9.
McAndrew, Thomas, et al.. (2017). Reply & Supply: Efficient crowdsourcing when workers do more than answer questions. PLoS ONE. 12(8). e0182662–e0182662. 6 indexed citations
10.
Korkali, Mert, et al.. (2017). Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence. Scientific Reports. 7(1). 44499–44499. 127 indexed citations
11.
Williams, Jake Ryland, James P. Bagrow, Christopher M. Danforth, & Peter Sheridan Dodds. (2015). Text mixing shapes the anatomy of rank-frequency distributions. Physical Review E. 91(5). 52811–52811. 16 indexed citations
12.
Gao, Liang, Chaoming Song, Ziyou Gao, et al.. (2014). Quantifying Information Flow During Emergencies. Scientific Reports. 4(1). 3997–3997. 49 indexed citations
13.
Woolley-Meza, Olivia, Daniel Grady, Christian Thiemann, James P. Bagrow, & Dirk Brockmann. (2013). Eyjafjallajökull and 9/11: The Impact of Large-Scale Disasters on Worldwide Mobility. PLoS ONE. 8(8). e69829–e69829. 24 indexed citations
14.
Bagrow, James P. & Yu‐Ru Lin. (2012). Spatiotemporal features of human mobility. arXiv (Cornell University). 1 indexed citations
15.
Bagrow, James P.. (2012). Communities and bottlenecks: Trees and treelike networks have high modularity. Physical Review E. 85(6). 66118–66118. 43 indexed citations
16.
Ahn, Yong‐Yeol, Sebastian E. Ahnert, James P. Bagrow, & Albert-Ĺaszló Barabási. (2011). Flavor network and the principles of food pairing. Scientific Reports. 1(1). 196–196. 292 indexed citations
17.
Bagrow, James P., et al.. (2010). Response of human populations to large-scale emergencies. Bulletin of the American Physical Society. 2010. 3 indexed citations
18.
Ahn, Yong‐Yeol, James P. Bagrow, & Sune Lehmann. (2010). Link communities reveal multiscale complexity in networks. Nature. 466(7307). 761–764. 1250 indexed citations breakdown →
19.
Ahn, Yong‐Yeol, James P. Bagrow, & Sune Lehmann. (2009). Communities and Hierarchical Organization of Links in Complex Networks. arXiv (Cornell University). 18 indexed citations
20.
Bagrow, James P. & Erik M. Bollt. (2005). Local method for detecting communities. Physical Review E. 72(4). 46108–46108. 184 indexed citations

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.

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