Yuval Pinter
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
- Information Systems top 10%
- Expert finding and Q&A systems
- Information Retrieval and Search Behavior
Papers in
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- Topic Modeling 13
- Natural Language Processing Techniques 11
- Text Readability and Simplification 3
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- Information Retrieval and Search Behavior 3
- Web Data Mining and Analysis 2
- Cloud Computing and Resource Management 2
- Co-authors
- Idan Szpektor (3 shared papers)David Carmel (2 shared papers)Eugene Agichtein (2 shared papers)Jacob Eisenstein (2 shared papers)David Carmel (1 shared paper)Asma Ben Abacha (1 shared paper)Donna Harman (1 shared paper)Dina Demner‐Fushman (1 shared paper)
- Journals
- Discourse Context & Media (1 paper)International Journal of Parallel Programming (1 paper)Lecture notes in computer science (1 paper)Pure (University of Bath) (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Yuval Pinter
25 papers receiving 195 citations
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 151
- Information Systems 80
- Hardware and Architecture 21
- Health Informatics 3
- Computer Science Applications 12
Countries citing papers authored by Yuval Pinter
This map shows the geographic impact of Yuval Pinter'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 Yuval Pinter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuval Pinter more than expected).
Fields of papers citing papers by Yuval Pinter
This network shows the impact of papers produced by Yuval Pinter. 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 Yuval Pinter. The network helps show where Yuval Pinter may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuval Pinter, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 33 | |
| 2 | Overview of the TREC 2015 LiveQA Track. | 2015 | 25 |
| 3 | 2016 | 25 | |
| 4 | Overview of the Medical Question Answering Task at TREC 2017 LiveQA. | 2017 | 21 |
| 5 | 2018 | 14 | |
| 6 | 2016 | 13 | |
| 7 | 2023 | 11 | |
| 8 | 2024 | 10 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 6 | |
| 11 | 2024 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2020 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2017 | 2 |
About Yuval Pinter
Yuval Pinter is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 25 papers that have together received 200 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (11 papers), Parallel Computing and Optimization Techniques (4 papers), Distributed and Parallel Computing Systems (4 papers), Information Retrieval and Search Behavior (3 papers), Text Readability and Simplification (3 papers), Web Data Mining and Analysis (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Artificial Intelligence (151 citations), Information Systems (80 citations), Hardware and Architecture (21 citations), Health Informatics (3 citations) and Computer Science Applications (12 citations). Yuval Pinter has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Idan Szpektor, David Carmel, Eugene Agichtein, Jacob Eisenstein, David Carmel, Asma Ben Abacha, Donna Harman, Dina Demner‐Fushman, Dan Pelleg and Roi Reichart. Their work appears in journals such as Discourse Context & Media, International Journal of Parallel Programming, Lecture notes in computer science, Pure (University of Bath) 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.