James P. Gleeson

114 papers receiving 5.3k citations

Hit Papers

Multilayer networks20142026201820222014202450010001.5k2.0k

Peers

James P. Gleeson
Comparison fields: 5 of 186
  • Statistical and Nonlinear Physics 3.1k
  • Computer Networks and Communications 806
  • Sociology and Political Science 768
  • Biomedical Engineering 519
  • Molecular Biology 508
Replace Mikko Kivelä with:
Mikko Kivelä Finland
Manlio De Domenico Italy
Ginestra Bianconi United Kingdom
Mark Newman United Kingdom
Brian Karrer United States
Mason A. Porter United States
Sergio Gómez Spain
Peter J. Mucha United States
Jianxi Gao United States
Dong‐Uk Hwang South Korea
James P. Gleeson relative to Mikko Kivelä Finland Mikko Kivelä's profile →
Citations per field
00.5×11.5×
Mikko Kivelä · 1×
Citations per year

Countries citing papers authored by James P. Gleeson

Since Specialization
Citations

This map shows the geographic impact of James P. Gleeson'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. Gleeson 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. Gleeson more than expected).

Fields of papers citing papers by James P. Gleeson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James P. Gleeson. 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. Gleeson. The network helps show where James P. Gleeson may publish in the future.

Co-authorship network of co-authors of James P. Gleeson

This figure shows the co-authorship network connecting the top 25 collaborators of James P. Gleeson. A scholar is included among the top collaborators of James P. Gleeson 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. Gleeson. James P. Gleeson 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
#WorkIndexed citations
1
Robustness and resilience of complex networksbreakdown →
262
2 3
3 11
4 11
5 15
6 22
7 31
8 4
9
Heterogeneous GPU reallocation
1
10 65
11 1
12 141
13 87
14 42
15 118
16
Infinitely fast reactions in micromixers
1
17 30
18 7
19
Stochastic Analysis of Particle-Pair Transport in Brownian Ratchet Device
1
20 28

About James P. Gleeson

James P. Gleeson is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Condensed Matter Physics, having authored 116 papers that have together received 5.5k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (49 papers), Opinion Dynamics and Social Influence (43 papers) and Theoretical and Computational Physics (14 papers). The work is most often cited by research in Statistical and Nonlinear Physics (3.1k citations), Modeling and Simulation (253 citations) and Computer Networks and Communications (806 citations). James P. Gleeson has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Mason A. Porter, Àlex Arenas, Mikko Kivelä, Marc Barthélemy, Yamir Moreno, Sergey Melnik, Diarmuid J. Cahalane, Adam Hackett, Davide Cellai and Peter J. Mucha. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters 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.

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