EPJ Data Science

10.6k citations
526 papers · · active since 2016

Impact in

Papers in

EPJ Data Science

434 papers receiving 9.8k citations

Peers

EPJ Data Science
Comparison fields: 5 of 195
  • Transportation 2.3k
  • Statistical and Nonlinear Physics 2.0k
  • Communication 947
  • Modeling and Simulation 336
  • Sociology and Political Science 2.6k
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EPJ Data Science relative to Journal of Mathematical Sociology United States Journal of Mathematical Sociology's profile →
Citations per field
00.5×1.5×1.9×
Journal of Mathematical Sociology · 1×
Citations per year

Countries where authors publish in EPJ Data Science

Since Specialization
Citations

This map shows the geographic impact of research published in EPJ Data Science. 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 papers published in EPJ Data Science with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites EPJ Data Science more than expected).

Fields of papers published in EPJ Data Science

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in EPJ Data Science. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in EPJ Data Science.

About EPJ Data Science

The 526 papers published in EPJ Data Science in the last decades have received a total of 10.6k indexed citations . Papers published in EPJ Data Science usually cover Transportation (133 papers), Statistical and Nonlinear Physics (156 papers), Communication (65 papers), General Social Sciences (13 papers) and Sociology and Political Science (147 papers) specifically the topics of Complex Network Analysis Techniques (136 papers), Human Mobility and Location-Based Analysis (122 papers), Opinion Dynamics and Social Influence (78 papers), Misinformation and Its Impacts (64 papers), Social Media and Politics (53 papers), Urban Transport and Accessibility (50 papers), Data-Driven Disease Surveillance (35 papers) and Complex Systems and Time Series Analysis (26 papers). The most active scholars publishing in EPJ Data Science are Christopher M. Danforth, Andrew Garrett Reece, Dirk Helbing, Pete Burnap, Matthew L. Williams, Adeline Decuyper, Vincent D. Blondel, Gautier Krings, Emilio Ferrara and Mason Alexander Porter.

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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