Ran Levy

757 total citations
15 papers, 285 citations indexed

About

Ran Levy is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Ran Levy has authored 15 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Communication. Recurrent topics in Ran Levy's work include Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers) and Software Engineering Research (5 papers). Ran Levy is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers) and Software Engineering Research (5 papers). Ran Levy collaborates with scholars based in Israel, United States and Switzerland. Ran Levy's co-authors include Noam Slonim, Daniel Hershcovich, Ehud Aharoni, Yonatan Bilu, Jeffrey S. Rosenschein, Ruty Rinott, Dan Gutfreund, Tamar Lavee, Shai Gretz and Ranit Aharonov and has published in prestigious journals such as Language Resources and Evaluation, Annals of Mathematics and Artificial Intelligence and Banach Journal of Mathematical Analysis.

In The Last Decade

Ran Levy

15 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ran Levy Israel 7 270 94 27 11 9 15 285
Michael Völske Germany 9 189 0.7× 89 0.9× 14 0.5× 16 1.5× 16 1.8× 22 234
Dasha Bogdanova Ireland 8 345 1.3× 136 1.4× 33 1.2× 5 0.5× 19 2.1× 10 373
Benjamin Schiller Germany 6 242 0.9× 87 0.9× 52 1.9× 11 1.0× 13 1.4× 16 285
Ali Hürriyetoğlu Türkiye 9 234 0.9× 47 0.5× 26 1.0× 7 0.6× 7 0.8× 35 274
Ahmed Mourad Australia 6 202 0.7× 61 0.6× 21 0.8× 14 1.3× 14 1.6× 12 240
Andreas Hanselowski Germany 5 212 0.8× 73 0.8× 101 3.7× 12 1.1× 9 1.0× 7 237
Tomohide Shibata Japan 10 255 0.9× 87 0.9× 16 0.6× 3 0.3× 30 3.3× 29 280
Guangyuan Piao Ireland 9 116 0.4× 117 1.2× 27 1.0× 2 0.2× 13 1.4× 19 183

Countries citing papers authored by Ran Levy

Since Specialization
Citations

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

Fields of papers citing papers by Ran Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ran Levy

This figure shows the co-authorship network connecting the top 25 collaborators of Ran Levy. A scholar is included among the top collaborators of Ran Levy 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 Ran Levy. Ran Levy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Dagan, Ido, et al.. (2023). Re-Examining Summarization Evaluation across Multiple Quality Criteria. 13829–13838. 1 indexed citations
2.
Gonen, Hila, et al.. (2022). McPhraSy: Multi-Context Phrase Similarity and Clustering. 3538–3550. 2 indexed citations
3.
Levy, Ran, et al.. (2021). PASS: Perturb-and-Select Summarizer for Product Reviews. 351–365. 16 indexed citations
4.
Levy, Ran, Ben Bogin, Shai Gretz, Ranit Aharonov, & Noam Slonim. (2018). Towards an argumentative content search engine using weak supervision.. International Conference on Computational Linguistics. 2066–2081. 18 indexed citations
5.
Halfon, Alon, Ran Levy, Yosi Mass, et al.. (2018). Semantic Relatedness of Wikipedia Concepts - Benchmark Data and a Working Solution.. Language Resources and Evaluation. 4 indexed citations
6.
Shnarch, Eyal, Ran Levy, Vikas C. Raykar, & Noam Slonim. (2017). GRASP: Rich Patterns for Argumentation Mining. 1345–1350. 5 indexed citations
7.
Levy, Ran, Shai Gretz, Benjamin Sznajder, et al.. (2017). Unsupervised corpus–wide claim detection. 79–84. 22 indexed citations
8.
Levy, Ran, Liat Ein‐Dor, Shay Hummel, Ruty Rinott, & Noam Slonim. (2015). TR9856: A Multi-word Term Relatedness Benchmark. 8 indexed citations
9.
Gutfreund, Dan, Aryeh Kontorovich, Ran Levy, & Michal Rosen‐Zvi. (2015). Boosting conditional probability estimators. Annals of Mathematics and Artificial Intelligence. 79(1-3). 129–144. 1 indexed citations
10.
Levy, Ran, Yonatan Bilu, Daniel Hershcovich, Ehud Aharoni, & Noam Slonim. (2014). Context Dependent Claim Detection. International Conference on Computational Linguistics. 1489–1500. 100 indexed citations
11.
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
12.
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
13.
Levy, Ran & Gideon Schechtman. (2011). Stabilizing isomorphisms from $\ell_{p}(\ell_{2})$ into $L_p[0,1]$. Banach Journal of Mathematical Analysis. 5(2). 73–83. 1 indexed citations
14.
Jenkins, J.M., et al.. (2002). Computerized vector mapping of myocardial activation. 413–415. 1 indexed citations
15.
Levy, Ran & Jeffrey S. Rosenschein. (1992). A game theoretic approach to distributed artificial intelligence and the pursuit problem (abstract). ACM SIGOIS Bulletin. 13(3). 11–11. 25 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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