Pascal Pons

4.0k citations
8 papers · 1.0k · 1 hit paper · h-index 6

Impact in

Papers in

Pascal Pons

7 papers receiving 1.0k citations

Pascal Pons's Hit Papers

Computing Communities in Large Networks Using Random Walks 2006 · 972 citations
9720+6+13Years since publication250500750

Peers

Pascal Pons
Comparison fields: 5 of 151
  • Statistical and Nonlinear Physics 473
  • Experimental and Cognitive Psychology 141
  • Transportation 49
  • Communication 43
  • Artificial Intelligence 198
Replace Zhao Yang with:
Zhao Yang China
Ove Frank Sweden
Antonios Garas Switzerland
Federico Cecconi Italy
Duncan J. Watts United States
Holger Ebel Germany
Marco Gaertler Germany
Tiago P. Peixoto Germany
Robert Görke Germany
Martin Hoefer Germany
Pascal Pons relative to Zhao Yang China Zhao Yang's profile →
Citations per field
00.5×20×40×62×
Zhao Yang · 1×
Citations per year

Countries citing papers authored by Pascal Pons

Since Specialization
Citations

This map shows the geographic impact of Pascal Pons'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 Pascal Pons with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Pons more than expected).

Fields of papers citing papers by Pascal Pons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pascal Pons. 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 Pascal Pons. The network helps show where Pascal Pons may publish in the future.

Co-authors

The 17 scholars most cited alongside Pascal Pons, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pascal Pons Line = papers co-authored together Pascal Pons links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
Computing Communities in Large Networks Using Random Walks
Hit paper breakdown →
2006972
2 201025
3 201714
4 197012
5 200610
6 19996
7
Les syndiqués en France, 1990-2006
20073
8 20210

About Pascal Pons

Pascal Pons is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Communication, Political Science and International Relations and Sociology and Political Science, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (3 papers), Graph theory and applications (1 paper), Wikis in Education and Collaboration (1 paper), Education, sociology, and vocational training (1 paper), Multiculturalism, Politics, Migration, Gender (1 paper), Agriculture and Rural Development Research (1 paper), Advanced Graph Theory Research (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (473 citations), Experimental and Cognitive Psychology (141 citations), Transportation (49 citations), Communication (43 citations) and Artificial Intelligence (198 citations). Pascal Pons has collaborated with scholars based in France, Hungary and Cameroon. Frequent co-authors include Matthieu Latapy, Jérôme Galtier, Eva C. Guinan, Karim R. Lakhani, Andrew Hill, Po‐Ru Loh, Iain Kilty, Scott A. Jelinsky, Jingbo Shang and A. Ripoll. Their work appears in journals such as Journal of Graph Algorithms and Applications, Theoretical Computer Science, GigaScience, Observatorio (OBS*) and HAL (Le Centre pour la Communication Scientifique Directe).

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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