James Cussens

43 papers and 595 indexed citations i.

About

James Cussens is a scholar working on Artificial Intelligence, Statistics and Probability and Computational Theory and Mathematics. According to data from OpenAlex, James Cussens has authored 43 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 9 papers in Statistics and Probability and 8 papers in Computational Theory and Mathematics. Recurrent topics in James Cussens’s work include Bayesian Modeling and Causal Inference (23 papers), Logic, Reasoning, and Knowledge (9 papers) and Bayesian Methods and Mixture Models (4 papers). James Cussens is often cited by papers focused on Bayesian Modeling and Causal Inference (23 papers), Logic, Reasoning, and Knowledge (9 papers) and Bayesian Methods and Mixture Models (4 papers). James Cussens collaborates with scholars based in United Kingdom, Czechia and United States. James Cussens's co-authors include Mark Bartlett, Nicos Angelopoulos, Nuala A. Sheehan, Dean McMillan, Simon Gilbody, Vı́tor Santos Costa, Lewis W. Paton, Paul A. Tiffin, David Page and Elinor M Jones and has published in prestigious journals such as Journal of Affective Disorders, Canadian Journal of Fisheries and Aquatic Sciences and Artificial Intelligence.

In The Last Decade

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

Fields of papers citing papers by James Cussens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James Cussens

Since Specialization
Citations

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