James Nolen

45 papers and 975 indexed citations i.

About

James Nolen is a scholar working on Mathematical Physics, Computational Theory and Mathematics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, James Nolen has authored 45 papers receiving a total of 975 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Mathematical Physics, 17 papers in Computational Theory and Mathematics and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in James Nolen’s work include Stochastic processes and statistical mechanics (21 papers), Advanced Mathematical Modeling in Engineering (16 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (11 papers). James Nolen is often cited by papers focused on Stochastic processes and statistical mechanics (21 papers), Advanced Mathematical Modeling in Engineering (16 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (11 papers). James Nolen collaborates with scholars based in United States, France and United Kingdom. James Nolen's co-authors include Jack Xin, Lenya Ryzhik, Jean‐Michel Roquejoffre, Jianfeng Lu, George Papanicolaou, François Hamel, Olivier Pironneau, Yulong Lu, Andrej Zlatoš and Antoine Mellet and has published in prestigious journals such as PLoS Biology, Communications in Mathematical Physics and Communications on Pure and Applied Mathematics.

In The Last Decade

Co-authorship network of co-authors of James Nolen i

Fields of papers citing papers by James Nolen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James Nolen

Since Specialization
Citations

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