Michael R. Chernick

About

Michael R. Chernick is a scholar working on Statistics and Probability, Artificial Intelligence and Oncology. According to data from OpenAlex, Michael R. Chernick has authored 60 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 11 papers in Artificial Intelligence and 6 papers in Oncology. Recurrent topics in Michael R. Chernick’s work include Advanced Statistical Methods and Models (14 papers), Statistical Methods and Inference (14 papers) and Bayesian Methods and Mixture Models (8 papers). Michael R. Chernick is often cited by papers focused on Advanced Statistical Methods and Models (14 papers), Statistical Methods and Inference (14 papers) and Bayesian Methods and Mixture Models (8 papers). Michael R. Chernick collaborates with scholars based in United States, United Kingdom and Australia. Michael R. Chernick's co-authors include Robert A. Badalament, Duke Bahn, Sean Yang, Fred Lee, Michael D. Ezekowitz, Amit Parekh, Paul Reilly, Stuart J. Connolly, Salim Yusuf and Anil Kumar and has published in prestigious journals such as Circulation, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Co-authorship network of co-authors of Michael R. Chernick i

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Fields of papers citing papers by Michael R. Chernick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Chernick. 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 Michael R. Chernick. The network helps show where Michael R. Chernick may publish in the future.

Countries citing papers authored by Michael R. Chernick

Since Specialization

Citations

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