Or Honovich
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Text Readability and Simplification
- Advanced Text Analysis Techniques
- Explainable Artificial Intelligence (XAI)
Papers in
-
- Topic Modeling 8
- Natural Language Processing Techniques 7
- Speech and dialogue systems 2
- Advanced Text Analysis Techniques 2
- Psychiatry, Mental Health, Neuroscience 1
- Machine Learning and Data Classification 1
- Logic, Reasoning, and Knowledge 1
- Co-authors
- Omer Levy (3 shared papers)Roee Aharoni (6 shared papers)Idan Szpektor (5 shared papers)Thomas Scialom (3 shared papers)Omri Abend (4 shared papers)Timo Schick (1 shared paper)Leshem Choshen (3 shared papers)Samuel R. Bowman (1 shared paper)
- Journals
- Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)arXiv (Cornell University) (1 paper)Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Or Honovich
9 papers receiving 207 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 199
- Health Informatics 4
- Computer Vision and Pattern Recognition 40
- Information Systems 29
- General Social Sciences 2
Countries citing papers authored by Or Honovich
This map shows the geographic impact of Or Honovich'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 Or Honovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Or Honovich more than expected).
Fields of papers citing papers by Or Honovich
This network shows the impact of papers produced by Or Honovich. 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 Or Honovich. The network helps show where Or Honovich may publish in the future.
Co-authors
The 20 scholars most cited alongside Or Honovich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 66 | |
| 2 | 2023 | 50 | |
| 3 | 2022 | 32 | |
| 4 | 2023 | 28 | |
| 5 | 2022 | 23 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 9 | |
| 8 | 2020 | 3 | |
| 9 | 2021 | 1 | |
| 10 | 2024 | 0 |
About Or Honovich
Or Honovich is a scholar working on Artificial Intelligence, Sociology and Political Science, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Infectious Diseases, having authored 10 papers that have together received 221 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Natural Language Processing Techniques (7 papers), Speech and dialogue systems (2 papers), Advanced Text Analysis Techniques (2 papers), Psychiatry, Mental Health, Neuroscience (1 paper), Machine Learning and Data Classification (1 paper), Logic, Reasoning, and Knowledge (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Artificial Intelligence (199 citations), Health Informatics (4 citations), Computer Vision and Pattern Recognition (40 citations), Information Systems (29 citations) and General Social Sciences (2 citations). Or Honovich has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Omer Levy, Roee Aharoni, Idan Szpektor, Thomas Scialom, Omri Abend, Timo Schick, Leshem Choshen, Samuel R. Bowman, Uri Shaham and Hagai Taitelbaum. Their work appears in journals such as Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, arXiv (Cornell University) and Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
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.