James Allen Fill

78 papers and 1.4k indexed citations i.

About

James Allen Fill is a scholar working on Mathematical Physics, Artificial Intelligence and Statistics and Probability. According to data from OpenAlex, James Allen Fill has authored 78 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Mathematical Physics, 39 papers in Artificial Intelligence and 32 papers in Statistics and Probability. Recurrent topics in James Allen Fill’s work include Stochastic processes and statistical mechanics (38 papers), Markov Chains and Monte Carlo Methods (25 papers) and Algorithms and Data Compression (23 papers). James Allen Fill is often cited by papers focused on Stochastic processes and statistical mechanics (38 papers), Markov Chains and Monte Carlo Methods (25 papers) and Algorithms and Data Compression (23 papers). James Allen Fill collaborates with scholars based in United States, Sweden and France. James Allen Fill's co-authors include Persi Diaconis, Svante Janson, Robert P. Dobrow, Donniell E. Fishkind, Philippe Flajolet, Mark Huber, Lars Holst, Jim Pitman, Edward R. Scheinerman and Wojciech Szpankowski and has published in prestigious journals such as The Annals of Statistics, The Annals of Probability and Journal of Computational and Applied Mathematics.

In The Last Decade

Co-authorship network of co-authors of James Allen Fill i

Fields of papers citing papers by James Allen Fill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James Allen Fill

Since Specialization
Citations

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