Omri Abend

2.1k citations
56 papers · 802 indexed · h-index 18

Omri Abend

50 papers receiving 717 citations

Peers

Omri Abend
Comparison fields: 5 of 57
  • Artificial Intelligence 755
  • Computer Vision and Pattern Recognition 83
  • Health Informatics 5
  • Developmental and Educational Psychology 32
  • Language and Linguistics 21
Replace Grzegorz Chrupała with:
Grzegorz Chrupała Netherlands
Carolina Scarton United Kingdom
Dieuwke Hupkes Netherlands
Juan Pino United States
Sámi Virpioja Finland
Benjamin Snyder United States
Katharina Kann United States
Nancy Chang United States
Clara Meister Switzerland
Annette Rios Switzerland
Omri Abend relative to Grzegorz Chrupała Netherlands Grzegorz Chrupała's profile →
Citations per field
00.5×4.4×
Grzegorz Chrupała · 1×
Citations per year

Countries citing papers authored by Omri Abend

Since Specialization
Citations

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

Fields of papers citing papers by Omri Abend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Omri Abend, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Omri Abend Line = papers co-authored together Omri Abend links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20250
3 20241
4 20240
5 20231
6 202324
7 20221
8 20220
9 20223
10
Semantic Structural Decomposition for Neural Machine Translation
20207
11 20202
12 202031
13 201710
14 201742
15 201731
16
Learnability-Based Syntactic Annotation Design
201222
17
Neutralizing Linguistically Problematic Annotations in Unsupervised Dependency Parsing Evaluation
201129
18
Type Level Clustering Evaluation: New Measures and a POS Induction Case Study
20108
19
Improved Unsupervised POS Induction through Prototype Discovery
201012
20
Fully Unsupervised Core-Adjunct Argument Classification
20109

About Omri Abend

Omri Abend is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Developmental and Educational Psychology, Experimental and Cognitive Psychology and Computer Science Applications, having authored 56 papers that have together received 802 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (50 papers), Topic Modeling (47 papers), Text Readability and Simplification (15 papers), Speech and dialogue systems (14 papers), Multimodal Machine Learning Applications (7 papers), Semantic Web and Ontologies (5 papers), Language Development and Disorders (3 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Artificial Intelligence (755 citations), Computer Vision and Pattern Recognition (83 citations), Health Informatics (5 citations), Developmental and Educational Psychology (32 citations) and Language and Linguistics (21 citations). Omri Abend has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Ari Rappoport, Elior Sulem, Leshem Choshen, Daniel Hershcovich, Roi Reichart, Roy Schwartz, Roee Aharoni, Idan Szpektor, Or Honovich and Mark Steedman. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Nature Machine Intelligence, Language Resources and Evaluation, Cognition and Computer Speech & Language.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026