Roy Bar-Haim

About

Roy Bar-Haim is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Roy Bar-Haim has authored 15 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Management Science and Operations Research. Recurrent topics in Roy Bar-Haim’s work include Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (6 papers). Roy Bar-Haim is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Advanced Text Analysis Techniques (6 papers). Roy Bar-Haim collaborates with scholars based in Israel, United States and France. Roy Bar-Haim's co-authors include Moshe Fresko, Ido Dagan, Ronen Feldman, Noam Slonim, Yoav Kantor, Eyal Shnarch, Benjamin Rosenfeld, Idan Szpektor, Dan Lahav and Jonathan Berant and has published in prestigious journals such as Journal of Artificial Intelligence Research, Language Resources and Evaluation and Natural Language Engineering.

In The Last Decade

Co-authorship network of co-authors of Roy Bar-Haim i

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Fields of papers citing papers by Roy Bar-Haim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roy Bar-Haim. 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 Roy Bar-Haim. The network helps show where Roy Bar-Haim may publish in the future.

Countries citing papers authored by Roy Bar-Haim

Since Specialization

Citations

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