Leo Katz

23 papers and 2.5k indexed citations i.

About

Leo Katz is a scholar working on Molecular Biology, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Leo Katz has authored 23 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Statistical and Nonlinear Physics. Recurrent topics in Leo Katz’s work include Bayesian Methods and Mixture Models (3 papers), Opinion Dynamics and Social Influence (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Leo Katz is often cited by papers focused on Bayesian Methods and Mixture Models (3 papers), Opinion Dynamics and Social Influence (3 papers) and Biomedical Text Mining and Ontologies (2 papers). Leo Katz collaborates with scholars based in United States. Leo Katz's co-authors include James H. Powell, Charles Proctor, Robert F. Bales, Edgar F. Borgatta, Renato Tagiuri, Joan H. Criswell, Jiří Nehněvajsa, Merl E. Bonney, Robert R. Blake and Jane Srygley Mouton and has published in prestigious journals such as Journal of the American Statistical Association, American Sociological Review and Psychometrika.

In The Last Decade

Co-authorship network of co-authors of Leo Katz i

Fields of papers citing papers by Leo Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Leo Katz

Since Specialization
Citations

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