David Chavalarias

1.1k citations
27 papers · 565 · h-index 9

Impact in

Papers in

David Chavalarias

24 papers receiving 552 citations

Peers

David Chavalarias
Comparison fields: 5 of 137
  • Statistics, Probability and Uncertainty 139
  • Communication 46
  • Statistics and Probability 49
  • Statistical and Nonlinear Physics 62
  • History and Philosophy of Science 16
Replace Isola Ajiferuke with:
Isola Ajiferuke Canada
Meijun Liu China
Nan Lin United States
Jeff Gill United States
Adrián A. Díaz‐Faes Spain
Pierpaolo Dondio Ireland
Krishna Subramanyam United States
Mohammadamin Erfanmanesh Iran
Weihua Li China
Borja González‐Albo Spain
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Citations per field
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Citations per year

Countries citing papers authored by David Chavalarias

Since Specialization
Citations

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

Fields of papers citing papers by David Chavalarias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside David Chavalarias, 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 David Chavalarias Line = papers co-authored together David Chavalarias links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016224
2 201378
3 201068
4 201849
5 202027
6 200822
7 201615
8 201512
9 20239
10 20208
11 20218
12 20197
13 20087
14 20216
15 20166
16 20244
17
Streams of Media Issues, Monitoring World Food Security
20113
18 20142
19 20182
20 20092

About David Chavalarias

David Chavalarias is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science, Communication, Molecular Biology and Information Systems, having authored 27 papers that have together received 565 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (5 papers), Social Media and Politics (3 papers), Evolutionary Game Theory and Cooperation (2 papers), Cultural Insights and Digital Impacts (2 papers), Advanced Text Analysis Techniques (2 papers), scientometrics and bibliometrics research (2 papers) and Philosophy and History of Science (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (139 citations), Communication (46 citations), Statistics and Probability (49 citations), Statistical and Nonlinear Physics (62 citations) and History and Philosophy of Science (16 citations). David Chavalarias has collaborated with scholars based in France, United States and Greece. Frequent co-authors include John P. A. Ioannidis, Joshua D. Wallach, Jean‐Philippe Cointet, Masaru Mizoguchi, Franck Varenne, Nicolas Brodu, Edith Perrier, Pablo Jensen, Francis Chateauraynaud and Arnaud Banos. Their work appears in journals such as Scientometrics, PLoS ONE, Journal of Clinical Epidemiology, Networks and Heterogeneous Media and Natures Sciences Sociétés.

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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