James P. Hobert

About

James P. Hobert is a scholar working on Statistics and Probability, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, James P. Hobert has authored 69 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Statistics and Probability, 44 papers in Artificial Intelligence and 5 papers in Mathematical Physics. Recurrent topics in James P. Hobert’s work include Markov Chains and Monte Carlo Methods (46 papers), Bayesian Methods and Mixture Models (42 papers) and Statistical Methods and Inference (36 papers). James P. Hobert is often cited by papers focused on Markov Chains and Monte Carlo Methods (46 papers), Bayesian Methods and Mixture Models (42 papers) and Statistical Methods and Inference (36 papers). James P. Hobert collaborates with scholars based in United States, France and Taiwan. James P. Hobert's co-authors include James G. Booth, George Casella, Galin L. Jones, Kshitij Khare, Vivekananda Roy, Alan Agresti, Brian Caffo, Christian P. Robert, Charles J. Geyer and Herwig Friedl and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of James P. Hobert i

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Fields of papers citing papers by James P. Hobert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James P. Hobert

Since Specialization

Citations

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