Leshem Choshen
- Artificial Intelligence top 5%
- Information Systems
- Computer Vision and Pattern Recognition
- Sociology and Political Science
- Molecular Biology
- Co-authors
- Omri AbendNoam SlonimEyal ShnarchRanit AharonovLena DankinRoee AharoniIdan SzpektorOr Honovich
- Topics
- Topic Modeling (22 papers)Natural Language Processing Techniques (21 papers)Multimodal Machine Learning Applications (6 papers)
- Journals
- Journal of Memory and LanguageNature Machine IntelligenceTransactions of the Association for Computational Linguistics
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Leshem Choshen
23 papers receiving 305 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 298
- Information Systems 42
- Computer Vision and Pattern Recognition 41
- Sociology and Political Science 13
- Molecular Biology 9
Countries citing papers authored by Leshem Choshen
This map shows the geographic impact of Leshem Choshen'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 Leshem Choshen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leshem Choshen more than expected).
Fields of papers citing papers by Leshem Choshen
This network shows the impact of papers produced by Leshem Choshen. 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 Leshem Choshen. The network helps show where Leshem Choshen may publish in the future.
Co-authorship network of co-authors of Leshem Choshen
This figure shows the co-authorship network connecting the top 25 collaborators of Leshem Choshen. A scholar is included among the top collaborators of Leshem Choshen 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 Leshem Choshen. Leshem Choshen 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 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 5 | |
| 14 | 0 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 66 | |
| 18 | 79 | |
| 19 | DORA The Explorer: Directed Outreaching Reinforcement Action-Selection | 6 |
| 20 | 31 |
About Leshem Choshen
Leshem Choshen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 31 papers that have together received 334 indexed citations. Recurring topics across this work include Topic Modeling (22 papers), Natural Language Processing Techniques (21 papers) and Multimodal Machine Learning Applications (6 papers). The work is most often cited by research in Artificial Intelligence (298 citations), Computer Vision and Pattern Recognition (41 citations) and Information Systems (42 citations). Leshem Choshen has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Omri Abend, Noam Slonim, Eyal Shnarch, Ranit Aharonov, Lena Dankin, Roee Aharoni, Idan Szpektor, Or Honovich, Yoav Katz and Ariel Gera. Their work appears in journals such as Journal of Memory and Language, Nature Machine Intelligence and Transactions of the Association for Computational Linguistics.
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.