Rotem Dror
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Speech and dialogue systems
- Authorship Attribution and Profiling
Papers in
-
- Natural Language Processing Techniques 10
- Topic Modeling 9
- Advanced Text Analysis Techniques 2
- Sentiment Analysis and Opinion Mining 1
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- Museums and Cultural Heritage 2
- Co-authors
- Roi Reichart (7 shared papers)Segev Shlomov (5 shared papers)Dan Roth (4 shared papers)Daniel Deutsch (4 shared papers)Marina Bogomolov (1 shared paper)Dafna Shahaf (1 shared paper)Gabriel Stanovsky (1 shared paper)Haoyu Wang (1 shared paper)
- Journals
- Synthesis lectures on human language technologies (3 papers)Transactions of the Association for Computational Linguistics (3 papers)Heritage (1 paper)Lecture notes in business information processing (1 paper)Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Rotem Dror
17 papers receiving 565 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 465
- Health Informatics 9
- General Social Sciences 12
- Information Systems 52
- Computer Vision and Pattern Recognition 38
Countries citing papers authored by Rotem Dror
This map shows the geographic impact of Rotem Dror'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 Rotem Dror with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rotem Dror more than expected).
Fields of papers citing papers by Rotem Dror
This network shows the impact of papers produced by Rotem Dror. 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 Rotem Dror. The network helps show where Rotem Dror may publish in the future.
Co-authors
The 25 scholars most cited alongside Rotem Dror, 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 | 2018 | 257 | |
| 2 | 2019 | 66 | |
| 3 | 2024 | 55 | |
| 4 | 2017 | 45 | |
| 5 | 2021 | 37 | |
| 6 | 2020 | 23 | |
| 7 | 2022 | 21 | |
| 8 | 2022 | 19 | |
| 9 | 2022 | 15 | |
| 10 | 2020 | 14 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 7 | |
| 14 | 2025 | 7 | |
| 15 | 2024 | 3 | |
| 16 | 2020 | 2 | |
| 17 | 2026 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Rotem Dror
Rotem Dror is a scholar working on Artificial Intelligence, Museology, Computer Vision and Pattern Recognition, Computer Science Applications and Transportation, having authored 20 papers that have together received 591 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers), Museums and Cultural Heritage (2 papers), Advanced Text Analysis Techniques (2 papers), Indoor and Outdoor Localization Technologies (2 papers), Inertial Sensor and Navigation (1 paper), Artificial Intelligence in Law (1 paper) and Sentiment Analysis and Opinion Mining (1 paper). The work is most often cited by research in Artificial Intelligence (465 citations), Health Informatics (9 citations), General Social Sciences (12 citations), Information Systems (52 citations) and Computer Vision and Pattern Recognition (38 citations). Rotem Dror has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Roi Reichart, Segev Shlomov, Dan Roth, Daniel Deutsch, Marina Bogomolov, Dafna Shahaf, Gabriel Stanovsky, Haoyu Wang, Yang Gao and Steffen Eger. Their work appears in journals such as Synthesis lectures on human language technologies, Transactions of the Association for Computational Linguistics, Heritage, Lecture notes in business information processing and Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT).
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.