Omer Levy

20.3k total citations · 6 hit papers
47 papers, 6.8k citations indexed

About

Omer Levy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Omer Levy has authored 47 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Omer Levy's work include Topic Modeling (36 papers), Natural Language Processing Techniques (33 papers) and Text Readability and Simplification (9 papers). Omer Levy is often cited by papers focused on Topic Modeling (36 papers), Natural Language Processing Techniques (33 papers) and Text Readability and Simplification (9 papers). Omer Levy collaborates with scholars based in Israel, United States and Germany. Omer Levy's co-authors include Yoav Goldberg, Amanpreet Singh, Felix Hill, Julian Michael, Samuel Bowman, Alex Wang, Ido Dagan, Samuel R. Bowman, Alex Wang and Luke Zettlemoyer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Omer Levy

46 papers receiving 6.3k citations

Hit Papers

GLUE: A Multi-Task Benchmark and Analysis Platform for Na... 2014 2026 2018 2022 2018 2014 2015 2018 2014 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Omer Levy Israel 22 5.8k 1.3k 698 401 204 47 6.8k
Yoav Goldberg Israel 37 6.8k 1.2× 1.0k 0.8× 800 1.1× 582 1.5× 220 1.1× 133 8.2k
Ido Dagan Israel 45 7.1k 1.2× 688 0.5× 980 1.4× 526 1.3× 131 0.6× 218 7.7k
David Yarowsky United States 37 6.6k 1.1× 645 0.5× 869 1.2× 461 1.1× 204 1.0× 114 7.4k
Édouard Grave Israel 16 5.2k 0.9× 1.1k 0.8× 1.0k 1.4× 485 1.2× 138 0.7× 25 6.7k
Christopher Potts United States 31 8.3k 1.4× 1.4k 1.0× 957 1.4× 225 0.6× 296 1.5× 116 10.6k
Wen-tau Yih United States 42 6.8k 1.2× 1.2k 0.9× 1.4k 2.0× 470 1.2× 161 0.8× 91 7.6k
Hal Daumé United States 45 5.9k 1.0× 3.2k 2.4× 649 0.9× 388 1.0× 295 1.4× 177 8.3k
Eneko Agirre Spain 38 6.5k 1.1× 684 0.5× 718 1.0× 736 1.8× 84 0.4× 202 7.1k
Ryan McDonald United States 41 8.4k 1.5× 817 0.6× 969 1.4× 882 2.2× 119 0.6× 72 9.0k
Steven Bird Australia 29 4.9k 0.9× 689 0.5× 1.2k 1.8× 369 0.9× 200 1.0× 134 6.8k

Countries citing papers authored by Omer Levy

Since Specialization
Citations

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

Fields of papers citing papers by Omer Levy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omer Levy

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

All Works

20 of 20 papers shown
1.
Saha, Swarnadeep, Omer Levy, Aslı Çelikyılmaz, et al.. (2024). Branch-Solve-Merge Improves Large Language Model Evaluation and Generation. 8352–8370. 3 indexed citations
2.
Honovich, Or, Thomas Scialom, Omer Levy, & Timo Schick. (2023). Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor. 14409–14428. 50 indexed citations
3.
Shaham, Uri, Maha Elbayad, Vedanuj Goswami, Omer Levy, & Shruti Bhosale. (2023). Causes and Cures for Interference in Multilingual Translation. 15849–15863. 3 indexed citations
4.
Levy, Omer, et al.. (2023). Translating Akkadian to English with neural machine translation. PNAS Nexus. 2(5). pgad096–pgad096. 14 indexed citations
5.
Honovich, Or, Uri Shaham, Samuel R. Bowman, & Omer Levy. (2023). Instruction Induction: From Few Examples to Natural Language Task Descriptions. 1935–1952. 28 indexed citations
6.
Ram, Ori, et al.. (2022). Transformer Language Models without Positional Encodings Still Learn Positional Information. 1382–1390. 28 indexed citations
7.
Ben‐Shmuel, Aviad, Noah Joseph, Omer Levy, et al.. (2021). Targeting the actin nucleation promoting factor WASp provides a therapeutic approach for hematopoietic malignancies. Nature Communications. 12(1). 5581–5581. 13 indexed citations
8.
Manning, Christopher D., Kevin B. Clark, John Hewitt, Urvashi Khandelwal, & Omer Levy. (2020). Emergent linguistic structure in artificial neural networks trained by self-supervision. Proceedings of the National Academy of Sciences. 117(48). 30046–30054. 157 indexed citations
9.
Ghazvininejad, Marjan, Vladimir Karpukhin, Luke Zettlemoyer, & Omer Levy. (2020). Aligned Cross Entropy for Non-Autoregressive Machine Translation. International Conference on Machine Learning. 1. 3515–3523. 12 indexed citations
10.
Qiu, Jiezhong, Hao Ma, Omer Levy, et al.. (2020). Blockwise Self-Attention for Long Document Understanding. 2555–2565. 93 indexed citations
11.
Wang, Alex, Yada Pruksachatkun, Nikita Nangia, et al.. (2019). SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems. Neural Information Processing Systems. 32. 3261–3275. 166 indexed citations
12.
Ghazvininejad, Marjan, Omer Levy, Yinhan Liu, & Luke Zettlemoyer. (2019). Constant-Time Machine Translation with Conditional Masked Language Models.. arXiv (Cornell University). 12 indexed citations
13.
Levy, Omer & Dror G. Feitelson. (2019). Understanding Large-Scale Software – A Hierarchical View. 283–293. 8 indexed citations
14.
Choi, Eunsol, Omer Levy, Yejin Choi, & Luke Zettlemoyer. (2018). Ultra-Fine Entity Typing. 87–96. 111 indexed citations
15.
Wang, Alex, Amanpreet Singh, Julian Michael, et al.. (2018). GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding. International Conference on Learning Representations. 630 indexed citations breakdown →
16.
Levy, Omer, Ido Dagan, Gabriel Stanovsky, Judith Eckle‐Kohler, & Iryna Gurevych. (2016). Modeling Extractive Sentence Intersection via Subtree Entailment. TUbilio (Technical University of Darmstadt). 2891–2901. 2 indexed citations
17.
Levy, Omer & Yoav Goldberg. (2014). Linguistic Regularities in Sparse and Explicit Word Representations. 171–180. 314 indexed citations breakdown →
18.
Levy, Omer & Yoav Goldberg. (2014). Neural Word Embedding as Implicit Matrix Factorization. Neural Information Processing Systems. 27. 2177–2185. 859 indexed citations breakdown →
19.
Levy, Omer & Yoav Goldberg. (2014). Dependency-Based Word Embeddings. 302–308. 613 indexed citations breakdown →
20.
Levy, Omer, Torsten Zesch, Ido Dagan, & Iryna Gurevych. (2013). UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis. Joint Conference on Lexical and Computational Semantics. 2. 285–289. 15 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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