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).
Fields of papers published in Kinetic and Related Models
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.
About Kinetic and Related Models
The 514 papers published in Kinetic and Related Models in the last decades have received a total of 5.4k indexed citations . Papers published in Kinetic and Related Models usually cover Applied Mathematics (313 papers), Mathematical Physics (165 papers) and Modeling and Simulation (67 papers) specifically the topics of Gas Dynamics and Kinetic Theory (247 papers), Advanced Thermodynamics and Statistical Mechanics (98 papers), Navier-Stokes equation solutions (97 papers), Advanced Mathematical Physics Problems (87 papers), Computational Fluid Dynamics and Aerodynamics (65 papers), Mathematical Biology Tumor Growth (63 papers), Numerical methods in inverse problems (53 papers) and Fluid Dynamics and Turbulent Flows (45 papers). The most active scholars publishing in Kinetic and Related Models are Seung‐Yeal Ha, Weizhu Bao, Yongyong Cai, Eitan Tadmor, José A. Carrillo, Pierre‐Emmanuel Jabin, Michaël Herty, Tong Yang, Yong Zhou and Renjun Duan.
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.