Moshe Koppel

75 papers and 2.4k indexed citations i.

About

Moshe Koppel is a scholar working on Artificial Intelligence, Economics and Econometrics and Computational Theory and Mathematics. According to data from OpenAlex, Moshe Koppel has authored 75 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 14 papers in Economics and Econometrics and 6 papers in Computational Theory and Mathematics. Recurrent topics in Moshe Koppel’s work include Authorship Attribution and Profiling (30 papers), Topic Modeling (28 papers) and Natural Language Processing Techniques (24 papers). Moshe Koppel is often cited by papers focused on Authorship Attribution and Profiling (30 papers), Topic Modeling (28 papers) and Natural Language Processing Techniques (24 papers). Moshe Koppel collaborates with scholars based in Israel, United States and Germany. Moshe Koppel's co-authors include Jonathan Schler, Shlomo Argamon, James W. Pennebaker, Jonathan Fine, Noam Ordan, Henri Atlan, Navot Akiva, Ari Rappoport, Efstathios Stamatatos and Abraham Diskin and has published in prestigious journals such as Communications of the ACM, Expert Systems with Applications and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Moshe Koppel i

Fields of papers citing papers by Moshe Koppel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Moshe Koppel

Since Specialization
Citations

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