Journal of Physics Complexity

284 papers and 1.5k indexed citations i.

About

The 284 papers published in Journal of Physics Complexity in the last decades have received a total of 1.5k indexed citations. Papers published in Journal of Physics Complexity usually cover Statistical and Nonlinear Physics (139 papers), Computer Networks and Communications (50 papers) and Cognitive Neuroscience (43 papers) specifically the topics of Complex Network Analysis Techniques (85 papers), Opinion Dynamics and Social Influence (61 papers) and Nonlinear Dynamics and Pattern Formation (44 papers). The most active scholars publishing in Journal of Physics Complexity are Ginestra Bianconi, Timotéo Carletti, Duccio Fanelli, Joaquı́n J. Torres, Renaud Lambiotte, Samuel Johnson, Mauricio Girardi‐Schappo, Arkady Pikovsky, Guido Caldarelli and Luciano da Fontoura Costa.

In The Last Decade

Fields of papers published in Journal of Physics Complexity

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Journal of Physics Complexity. 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 Journal of Physics Complexity.

Countries where authors publish in Journal of Physics Complexity

Since Specialization
Citations

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

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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