Idan Szpektor

38 papers and 627 indexed citations i.

About

Idan Szpektor is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Idan Szpektor has authored 38 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 10 papers in Information Systems and 2 papers in Molecular Biology. Recurrent topics in Idan Szpektor’s work include Topic Modeling (30 papers), Natural Language Processing Techniques (29 papers) and Semantic Web and Ontologies (6 papers). Idan Szpektor is often cited by papers focused on Topic Modeling (30 papers), Natural Language Processing Techniques (29 papers) and Semantic Web and Ontologies (6 papers). Idan Szpektor collaborates with scholars based in Israel, United States and United Kingdom. Idan Szpektor's co-authors include Ido Dagan, Maayan Zhitomirsky‐Geffet, Lili Kotlerman, Hristo Tanev, Bonaventura Coppola, Roee Aharoni, Eyal Shnarch, Leshem Choshen, Omri Abend and Roy Bar-Haim and has published in prestigious journals such as BMC Medical Informatics and Decision Making, Transactions of the Association for Computational Linguistics and Natural Language Engineering.

In The Last Decade

Co-authorship network of co-authors of Idan Szpektor i

Fields of papers citing papers by Idan Szpektor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Idan Szpektor

Since Specialization
Citations

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