Yanai Elazar
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems
- Safety Research
- Sociology and Political Science
- Co-authors
- Yoav GoldbergShauli RavfogelAlon JacoviAbhilasha RavichanderNora KassnerEduard HovyHinrich SchützeDan Roth
- Topics
- Topic Modeling (17 papers)Natural Language Processing Techniques (12 papers)Text Readability and Simplification (4 papers)
- Journals
- Nature Machine IntelligenceTransactions of the Association for Computational LinguisticsResearch at the University of Copenhagen (University of Copenhagen)
- Partner nations
- IsraelUnited StatesFrance
In The Last Decade
Yanai Elazar
21 papers receiving 477 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 433
- Computer Vision and Pattern Recognition 95
- Information Systems 37
- Safety Research 27
- Sociology and Political Science 20
Countries citing papers authored by Yanai Elazar
This map shows the geographic impact of Yanai Elazar'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 Yanai Elazar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanai Elazar more than expected).
Fields of papers citing papers by Yanai Elazar
This network shows the impact of papers produced by Yanai Elazar. 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 Yanai Elazar. The network helps show where Yanai Elazar may publish in the future.
Co-authorship network of co-authors of Yanai Elazar
This figure shows the co-authorship network connecting the top 25 collaborators of Yanai Elazar. A scholar is included among the top collaborators of Yanai Elazar 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 Yanai Elazar. Yanai Elazar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 29 | |
| 7 | 34 | |
| 8 | 3 | |
| 9 | 112 | |
| 10 | 17 | |
| 11 | 20 | |
| 12 | 63 | |
| 13 | When Bert Forgets How To POS: Amnesic Probing of Linguistic Properties and MLM Predictions | 10 |
| 14 | 26 | |
| 15 | 13 | |
| 16 | 9 | |
| 17 | 19 | |
| 18 | At Your Fingertips: Automatic Piano Fingering Detection | 2 |
| 19 | Privacy-Adversarial User Representations in Recommender Systems. | 1 |
| 20 | 129 |
About Yanai Elazar
Yanai Elazar is a scholar working on General Social Sciences, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 505 indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Natural Language Processing Techniques (12 papers) and Text Readability and Simplification (4 papers). The work is most often cited by research in Artificial Intelligence (433 citations), Health Informatics (15 citations) and Computer Vision and Pattern Recognition (95 citations). Yanai Elazar has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Yoav Goldberg, Shauli Ravfogel, Alon Jacovi, Abhilasha Ravichander, Nora Kassner, Eduard Hovy, Hinrich Schütze, Dan Roth, Xikun Zhang and Deepak Ramachandran. Their work appears in journals such as Nature Machine Intelligence, Transactions of the Association for Computational Linguistics and Research at the University of Copenhagen (University of Copenhagen).
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.