Jonathan Tepper

19 papers and 136 indexed citations i.

About

Jonathan Tepper is a scholar working on Artificial Intelligence, Management Science and Operations Research and Economics and Econometrics. According to data from OpenAlex, Jonathan Tepper has authored 19 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Management Science and Operations Research and 5 papers in Economics and Econometrics. Recurrent topics in Jonathan Tepper’s work include Stock Market Forecasting Methods (6 papers), Gene expression and cancer classification (3 papers) and Market Dynamics and Volatility (3 papers). Jonathan Tepper is often cited by papers focused on Stock Market Forecasting Methods (6 papers), Gene expression and cancer classification (3 papers) and Market Dynamics and Volatility (3 papers). Jonathan Tepper collaborates with scholars based in United Kingdom, United States and Saudi Arabia. Jonathan Tepper's co-authors include Heather M. Powell, Dominic Palmer-Brown, Jane M. Binner, T.M. McGinnity, Mufti Mahmud, Leo E. Hollister, Kenneth L. Davis, Ahmad Lotfi, Peter Tiño and Graham Kendall and has published in prestigious journals such as Trends in Cognitive Sciences, Psychopharmacology and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Co-authorship network of co-authors of Jonathan Tepper i

Fields of papers citing papers by Jonathan Tepper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jonathan Tepper

Since Specialization
Citations

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