Peter Enis

24 papers and 306 indexed citations i.

About

Peter Enis is a scholar working on Artificial Intelligence, Statistics and Probability and Applied Mathematics. According to data from OpenAlex, Peter Enis has authored 24 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 6 papers in Applied Mathematics. Recurrent topics in Peter Enis’s work include Advanced Statistical Methods and Models (4 papers), Bayesian Methods and Mixture Models (4 papers) and SARS-CoV-2 detection and testing (4 papers). Peter Enis is often cited by papers focused on Advanced Statistical Methods and Models (4 papers), Bayesian Methods and Mixture Models (4 papers) and SARS-CoV-2 detection and testing (4 papers). Peter Enis collaborates with scholars based in United States, Israel and France. Peter Enis's co-authors include Shaul K. Bar‐Lev, Seymour Geisser, Daoud Bshouty, Gérard Letac, Donald Richards, Thomas H. Wonnacott, Ronald J. Wonnacott, Frank K. Hwang and Ben Boukai and has published in prestigious journals such as Journal of the American Statistical Association, Biometrika and The Annals of Statistics.

In The Last Decade

Co-authorship network of co-authors of Peter Enis i

Fields of papers citing papers by Peter Enis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Peter Enis

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025