Shay Hummel

2 papers and 6 indexed citations i.

About

Shay Hummel is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Shay Hummel has authored 2 papers receiving a total of 6 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Signal Processing. Recurrent topics in Shay Hummel’s work include Natural Language Processing Techniques (1 paper), Information Retrieval and Search Behavior (1 paper) and Web Data Mining and Analysis (1 paper). Shay Hummel is often cited by papers focused on Natural Language Processing Techniques (1 paper), Information Retrieval and Search Behavior (1 paper) and Web Data Mining and Analysis (1 paper). Shay Hummel collaborates with scholars based in Israel, India and United States. Shay Hummel's co-authors include Vikas C. Raykar, Roy Bar-Haim, Daniel Hershcovich, Lena Dankin, Anna Shtok, Fiana Raiber, Oren Kurland, Yonatan Bilu, Ruty Rinott and Noam Slonim and has published in prestigious journals such as International Conference on Computational Linguistics and Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

In The Last Decade

Co-authorship network of co-authors of Shay Hummel i

Fields of papers citing papers by Shay Hummel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shay Hummel

Since Specialization
Citations

This map shows the geographic impact of Shay Hummel'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 Shay Hummel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shay Hummel 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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2025