Jay Magidson

30 papers and 1.0k indexed citations i.

About

Jay Magidson is a scholar working on Statistics and Probability, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Jay Magidson has authored 30 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistics and Probability, 4 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Jay Magidson’s work include Advanced Statistical Methods and Models (6 papers), Statistical Methods and Bayesian Inference (5 papers) and Molecular Biology Techniques and Applications (3 papers). Jay Magidson is often cited by papers focused on Advanced Statistical Methods and Models (6 papers), Statistical Methods and Bayesian Inference (5 papers) and Molecular Biology Techniques and Applications (3 papers). Jay Magidson collaborates with scholars based in United States, The Netherlands and United Kingdom. Jay Magidson's co-authors include Jeroen K. Vermunt, Leo A. Goodman, James A. Davis, Murray Aitkin, Thomas D. Wickens, Dag Sörbom, William Oh, Aseem Anand, Sumit K. Subudhi and Leah Katz 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 i

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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2025