Gregory F. Cooper

183 papers and 7.6k indexed citations i.

About

Gregory F. Cooper is a scholar working on Artificial Intelligence, Molecular Biology and Epidemiology. According to data from OpenAlex, Gregory F. Cooper has authored 183 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Artificial Intelligence, 47 papers in Molecular Biology and 45 papers in Epidemiology. Recurrent topics in Gregory F. Cooper’s work include Bayesian Modeling and Causal Inference (64 papers), Data-Driven Disease Surveillance (37 papers) and Machine Learning in Healthcare (32 papers). Gregory F. Cooper is often cited by papers focused on Bayesian Modeling and Causal Inference (64 papers), Data-Driven Disease Surveillance (37 papers) and Machine Learning in Healthcare (32 papers). Gregory F. Cooper collaborates with scholars based in United States, Australia and France. Gregory F. Cooper's co-authors include Edward H. Herskovits, Wendy W. Chapman, Paul Hanbury, Will Bridewell, Bruce G. Buchanan, Shyam Visweswaran, Michael M. Wagner, Miloš Hauskrecht, Andrew Moore and Changwon Yoo and has published in prestigious journals such as Bioinformatics, PLoS ONE and Cancer Research.

In The Last Decade

Co-authorship network of co-authors of Gregory F. Cooper i

Fields of papers citing papers by Gregory F. Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory F. Cooper. 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 Gregory F. Cooper. The network helps show where Gregory F. Cooper may publish in the future.

Countries citing papers authored by Gregory F. Cooper

Since Specialization
Citations

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