Kinetic and Related Models

609 papers and 6.5k indexed citations i.

About

The 609 papers published in Kinetic and Related Models in the last decades have received a total of 6.5k indexed citations. Papers published in Kinetic and Related Models usually cover Applied Mathematics (370 papers), Mathematical Physics (196 papers) and Statistical and Nonlinear Physics (164 papers) specifically the topics of Gas Dynamics and Kinetic Theory (292 papers), Advanced Thermodynamics and Statistical Mechanics (115 papers) and Mathematical Modeling of Fluid Dynamics (110 papers). The most active scholars publishing in Kinetic and Related Models are Seung‐Yeal Ha, Eitan Tadmor, José A. Carrillo, Weizhu Bao, Yongyong Cai, Robert M. Strain, Pierre‐Emmanuel Jabin, Pierre Degond, Jian‐Guo Liu and Maria R. D’Orsogna.

In The Last Decade

Fields of papers published in Kinetic and Related Models

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Kinetic and Related Models. 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 Kinetic and Related Models.

Countries where authors publish in Kinetic and Related Models

Since Specialization
Citations

This map shows the geographic impact of research published in Kinetic and Related Models. 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 Kinetic and Related Models with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kinetic and Related Models 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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2025