James Arbuckle

9 papers and 220 indexed citations i.

About

James Arbuckle is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, James Arbuckle has authored 9 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 3 papers in Artificial Intelligence and 2 papers in Management Science and Operations Research. Recurrent topics in James Arbuckle’s work include Blind Source Separation Techniques (2 papers), Neural Networks and Applications (2 papers) and Multi-Criteria Decision Making (2 papers). James Arbuckle is often cited by papers focused on Blind Source Separation Techniques (2 papers), Neural Networks and Applications (2 papers) and Multi-Criteria Decision Making (2 papers). James Arbuckle collaborates with scholars based in United States and Canada. James Arbuckle's co-authors include James Larimer, Michael Friendly and Leona S. Aiken and has published in prestigious journals such as Psychometrika, The American Statistician and Behavior Research Methods.

In The Last Decade

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

Fields of papers citing papers by James Arbuckle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by James Arbuckle

Since Specialization
Citations

This map shows the geographic impact of James Arbuckle'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 Arbuckle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Arbuckle 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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2025