Tamar Lavee

490 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 Israel, United States and Sweden. Tamar Lavee's co-authors include Noam Slonim, Dan Gutfreund, Ran Levy, Daniel Hershcovich, Ruty Rinott, Ehud Aharoni, Francesca Incardona, André Altmann, Maurizio Zazzi and Anders Sönnerborg 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tamar Lavee Israel	5	108	47	21	17	11	8	150
Kazuhide Yamamoto Japan	11	381 3.5×	29 0.6×	6 0.3×	8 0.5×	22 2.0×	75	447
Frédérique Segond France	9	122 1.1×	23 0.5×	9 0.4×		27 2.5×	33	201
S. M. Niaz Arifin United States	8	160 1.5×	43 0.9×	11 0.5×	1 0.1×	3 0.3×	23	290
Mustafa V. Nural United States	7	18 0.2×	11 0.2×	5 0.2×	7 0.4×	9 0.8×	13	84
Kurt Junshean Espinosa Philippines	7	158 1.5×	66 1.4×	5 0.2×		10 0.9×	20	222
Jiří Mírovský Czechia	9	189 1.8×	11 0.2×	11 0.5×		5 0.5×	50	219
Nicolas Fiorini United States	9	160 1.5×	38 0.8×	15 0.7×		153 13.9×	11	299
Tobias Walter Germany	5	41 0.4×	37 0.8×	9 0.4×		6 0.5×	16	144
Yingtong Liu China	7	61 0.6×	21 0.4×	13 0.6×		62 5.6×	15	151
Philip Ginsbach United Kingdom	7	25 0.2×	17 0.4×	17 0.8×		30 2.7×	11	126

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

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Cahill, Aoife, et al.. (2021). Supporting Spanish Writers using Automated Feedback. 116–124. 1 indexed citations

2.

Bilu, Yonatan, Ariel Gera, Lena Dankin, et al.. (2019). A Dataset of General-Purpose Rebuttal. 5590–5600. 9 indexed citations

3.

Lavee, Tamar, Lili Kotlerman, Yonatan Bilu, et al.. (2019). Crowd-sourcing annotation of complex NLU tasks: A case study of argumentative content annotation. 29–38. 3 indexed citations

4.

Mirkin, Shachar, Guy Moshkowich, Lili Kotlerman, et al.. (2018). Listening Comprehension over Argumentative Content. 719–724. 9 indexed citations

5.

Slonim, Noam, Ehud Aharoni, Carlos Alzate, et al.. (2014). Claims on demand -- an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. International Conference on Computational Linguistics. 6–9. 4 indexed citations

6.

Aharoni, Ehud, Tamar Lavee, Daniel Hershcovich, et al.. (2014). A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics. 64–68. 77 indexed citations

7.

Zarai, Yoram, Tamar Lavee, Nachum Dershowitz, & Lior Wolf. (2013). Integrating Copies Obtained from Old and New Preservation Efforts. 47–51. 3 indexed citations

8.

Zazzi, Maurizio, Francesca Incardona, Michal Rosen‐Zvi, et al.. (2012). Predicting Response to Antiretroviral Treatment by Machine Learning: The EuResist Project. Intervirology. 55(2). 123–127. 44 indexed citations

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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