Vered Shwartz

2.2k total citations
43 papers, 738 citations indexed

About

Vered Shwartz is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Vered Shwartz has authored 43 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. Recurrent topics in Vered Shwartz's work include Natural Language Processing Techniques (34 papers), Topic Modeling (33 papers) and Advanced Text Analysis Techniques (8 papers). Vered Shwartz is often cited by papers focused on Natural Language Processing Techniques (34 papers), Topic Modeling (33 papers) and Advanced Text Analysis Techniques (8 papers). Vered Shwartz collaborates with scholars based in United States, Israel and Canada. Vered Shwartz's co-authors include Yoav Goldberg, Ido Dagan, Max Glockner, Yejin Choi, Enrico Santus, Dominik Schlechtweg, Ronan Le Bras, Antoine Bosselut, Chandra Bhagavatula and Dan Roth and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, KI - Künstliche Intelligenz and PolyU Institutional Research Archive (Hong Kong Polytechnic University).

In The Last Decade

Vered Shwartz

39 papers receiving 682 citations

Peers

Vered Shwartz
Comparison fields: 5 of 45
  • Artificial Intelligence 694
  • Computer Vision and Pattern Recognition 141
  • Molecular Biology 52
  • Information Systems 40
  • Experimental and Cognitive Psychology 29
Replace Omri Abend with:
Omri Abend Israel
Silvio Amir Portugal
Stephen Roller United States
Edoardo Maria Ponti United Kingdom
Simon Dobnik Sweden
Tommaso Pasini Italy
Ann Irvine United States
Marine Carpuat United States
Jeffrey Flanigan United States
Benjamin Snyder United States
Omri Abend Israel View profile →
Citations per field, relative to Vered Shwartz
Vered Shwartz · 1×
Citations per year, relative to Vered Shwartz
Vered Shwartz · 1×

Countries citing papers authored by Vered Shwartz

Since Specialization
Citations

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

Fields of papers citing papers by Vered Shwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vered Shwartz

This figure shows the co-authorship network connecting the top 25 collaborators of Vered Shwartz. A scholar is included among the top collaborators of Vered Shwartz 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 Vered Shwartz. Vered Shwartz 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
# Work Indexed citations
1 1
2 0
3 2
4 0
5 1
6 3
7 4
8 3
9 7
10 2
11 1
12 24
13 35
14 20
15 42
16 159
17 9
18 13
19
CogALex-V Shared Task: LexNET - Integrated Path-based and Distributional Method for the Identification of Semantic Relations
4
20 112

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