Tamar Lavee

16 total papers · 486 total citations
8 papers, 150 citations indexed

About

Tamar Lavee is a scholar working on Artificial Intelligence, Information Systems and Infectious Diseases. According to data from OpenAlex, Tamar Lavee has authored 8 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Information Systems and 1 paper in Infectious Diseases. Recurrent topics in Tamar Lavee's work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Software Engineering Research (2 papers). Tamar Lavee is often cited by papers focused on Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers) and Software Engineering Research (2 papers). Tamar Lavee collaborates with scholars based in United States, Israel and India. Tamar Lavee's co-authors include Noam Slonim, Dan Gutfreund, Ehud Aharoni, Ruty Rinott, Daniel Hershcovich, Ran Levy, Rolf Kaiser, Maurizio Zazzi, Mattia Prosperi and Francesca Incardona and has published in prestigious journals such as Intervirology and International Conference on Computational Linguistics.

In The Last Decade

Tamar Lavee

8 papers receiving 129 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tamar Lavee 108 47 21 17 11 8 150
Erik van der Goot 165 1.5× 51 1.1× 11 0.5× 3 0.2× 24 2.2× 12 279
Julian Matschinske 107 1.0× 18 0.4× 39 1.9× 1 0.1× 60 5.5× 11 241
Sajib Sen 110 1.0× 63 1.3× 8 0.5× 9 0.8× 8 233
David Lloyd 101 0.9× 14 0.3× 3 0.1× 2 0.1× 42 3.8× 7 209
Andrzej Pastusiak 160 1.5× 75 1.6× 13 0.6× 18 1.6× 5 215
Sonali Parbhoo 174 1.6× 6 0.1× 15 0.7× 4 0.2× 8 0.7× 9 240
Yuting Chi 114 1.1× 16 0.3× 25 1.2× 21 1.9× 7 292
Mustafa V. Nural 18 0.2× 12 0.3× 4 0.2× 7 0.4× 8 0.7× 13 84
Dorothy M Moore 104 1.0× 88 1.9× 4 0.2× 7 0.6× 8 284
Viswanatha Reddy Allugunti 93 0.9× 8 0.2× 3 0.1× 3 0.2× 14 1.3× 5 225

Countries citing papers authored by Tamar Lavee

Since Specialization
Citations

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

Fields of papers citing papers by Tamar Lavee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamar Lavee

This figure shows the co-authorship network connecting the top 25 collaborators of Tamar Lavee. A scholar is included among the top collaborators of Tamar Lavee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tamar Lavee. Tamar Lavee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026