Jay Magidson

52 papers and 3.3k indexed citations i.

About

Jay Magidson is a scholar working on Statistics and Probability, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Jay Magidson has authored 52 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 10 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Jay Magidson’s work include Statistical Methods and Bayesian Inference (9 papers), Bayesian Methods and Mixture Models (7 papers) and Advanced Statistical Methods and Models (6 papers). Jay Magidson is often cited by papers focused on Statistical Methods and Bayesian Inference (9 papers), Bayesian Methods and Mixture Models (7 papers) and Advanced Statistical Methods and Models (6 papers). Jay Magidson collaborates with scholars based in United States, Netherlands and Nepal. Jay Magidson's co-authors include Jeroen K. Vermunt, Dag Sörbom, Karl G. Jöreskog, Leo A. Goodman, James Davis, Murray Aitkin, Thomas D. Wickens, William Oh, Howard I. Scher and Aseem Anand and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Jay Magidson

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Magidson. A scholar is included among the top collaborators of Jay Magidson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jay Magidson. Jay Magidson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Jay Magidson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jay Magidson

Since Specialization
Citations

This map shows the geographic impact of Jay Magidson'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 Jay Magidson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Magidson 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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2026