Avi Caciularu
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Explainable Artificial Intelligence (XAI)
- Advanced Text Analysis Techniques
- Advanced Graph Neural Networks
- Machine Learning in Healthcare
-
- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 20
- Natural Language Processing Techniques 18
- Text and Document Classification Technologies 4
- Explainable Artificial Intelligence (XAI) 4
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- Recommender Systems and Techniques 5
- Co-authors
- Oren Barkan (12 shared papers)Noam Koenigstein (11 shared papers)Yoav Goldberg (3 shared papers)Mor Geva (3 shared papers)Kevin I‐Kai Wang (1 shared paper)Ido Dagan (10 shared papers)Itzik Malkiel (7 shared papers)Jacob Goldberger (5 shared papers)
- Journals
- Neurocomputing (1 paper)International Journal of Electrical Power & Energy Systems (1 paper)ArXiv.org (1 paper)Empirical Methods in Natural Language Processing (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Avi Caciularu
30 papers receiving 297 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 236
- Computer Vision and Pattern Recognition 70
- Information Systems 73
- Health Informatics 3
- Human-Computer Interaction 12
Countries citing papers authored by Avi Caciularu
This map shows the geographic impact of Avi Caciularu'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 Avi Caciularu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Avi Caciularu more than expected).
Fields of papers citing papers by Avi Caciularu
This network shows the impact of papers produced by Avi Caciularu. 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 Avi Caciularu. The network helps show where Avi Caciularu may publish in the future.
Co-authors
The 25 scholars most cited alongside Avi Caciularu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 62 | |
| 2 | 2020 | 26 | |
| 3 | 2020 | 22 | |
| 4 | 2021 | 18 | |
| 5 | 2020 | 17 | |
| 6 | 2022 | 17 | |
| 7 | 2023 | 16 | |
| 8 | 2020 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 8 | |
| 14 | 2020 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2023 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2021 | 5 |
About Avi Caciularu
Avi Caciularu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research and Molecular Biology, having authored 32 papers that have together received 307 indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Natural Language Processing Techniques (18 papers), Recommender Systems and Techniques (5 papers), Text and Document Classification Technologies (4 papers), Explainable Artificial Intelligence (XAI) (4 papers), Multimodal Machine Learning Applications (3 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Energy Load and Power Forecasting (2 papers). The work is most often cited by research in Artificial Intelligence (236 citations), Computer Vision and Pattern Recognition (70 citations), Information Systems (73 citations), Health Informatics (3 citations) and Human-Computer Interaction (12 citations). Avi Caciularu has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Oren Barkan, Noam Koenigstein, Yoav Goldberg, Mor Geva, Kevin I‐Kai Wang, Ido Dagan, Itzik Malkiel, Jacob Goldberger, Omer Goldman and Alon Jacovi. Their work appears in journals such as Neurocomputing, International Journal of Electrical Power & Energy Systems, ArXiv.org, Empirical Methods in Natural Language Processing and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
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.