Roy Bar-Haim
- Artificial Intelligence top 5%
- Topic Modeling 16
- Natural Language Processing Techniques 12
- Sentiment Analysis and Opinion Mining 8
- Advanced Text Analysis Techniques 7
- Semantic Web and Ontologies 5
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- Stock Market Forecasting Methods 2
- Information Systems top 10%
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- Wikis in Education and Collaboration 2
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- Network Security and Intrusion Detection 2
- Co-authors
- Ido DaganRonen FeldmanMoshe FreskoIdan SzpektorNoam SlonimKhalil Sima’anYoad WinterIndrajit Bhattacharya
- Journals
- Theory and applications of categories (2 papers)Natural Language Engineering (1 paper)Journal of Artificial Intelligence Research (1 paper)
- Partner nations
- IsraelIndiaUnited States
In The Last Decade
Roy Bar-Haim
23 papers receiving 438 citations
Peers
Comparison fields: 5 of 41
- Artificial Intelligence 432
- Management Science and Operations Research 60
- Information Systems 78
- Finance 25
- Computer Vision and Pattern Recognition 37
Countries citing papers authored by Roy Bar-Haim
This map shows the geographic impact of Roy Bar-Haim'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 Roy Bar-Haim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roy Bar-Haim more than expected).
Fields of papers citing papers by Roy Bar-Haim
This network shows the impact of papers produced by Roy Bar-Haim. 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 Roy Bar-Haim. The network helps show where Roy Bar-Haim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roy Bar-Haim, 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 | 2023 | 2 | |
| 2 | 2023 | 3 | |
| 3 | 2021 | 2 | |
| 4 | 2021 | 5 | |
| 5 | 2019 | 5 | |
| 6 | SLIDE - a Sentiment Lexicon of Common Idioms | 2018 | 5 |
| 7 | LEARNING SENTIMENT COMPOSITION FROM SENTIMENT LEXICONS | 2018 | 6 |
| 8 | 2017 | 80 | |
| 9 | 2015 | 4 | |
| 10 | Claims on demand -- an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora | 2014 | 4 |
| 11 | Identifying and Following Expert Investors in Stock Microblogs | 2011 | 64 |
| 12 | Addressing Discourse and Document Structure in the RTE Search Task. | 2009 | 11 |
| 13 | 2009 | 13 | |
| 14 | Contextual Preferences | 2008 | 31 |
| 15 | Efficient Semantic Deduction and Approximate Matching over Compact Parse Forests. | 2008 | 23 |
| 16 | Semantic inference at the lexical-syntactic level | 2007 | 46 |
| 17 | 2007 | 30 | |
| 18 | 2007 | 23 | |
| 19 | 2005 | 26 | |
| 20 | 2005 | 29 |
About Roy Bar-Haim
Roy Bar-Haim is a scholar working on Artificial Intelligence, Communication, Information Systems, Management Science and Operations Research and Finance, having authored 23 papers that have together received 492 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (12 papers), Sentiment Analysis and Opinion Mining (8 papers), Advanced Text Analysis Techniques (7 papers), Semantic Web and Ontologies (5 papers), Stock Market Forecasting Methods (2 papers), Wikis in Education and Collaboration (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Artificial Intelligence (432 citations), Management Science and Operations Research (60 citations), Information Systems (78 citations), Finance (25 citations) and Computer Vision and Pattern Recognition (37 citations). Roy Bar-Haim has collaborated with scholars based in Israel, India and United States. Frequent co-authors include Ido Dagan, Ronen Feldman, Moshe Fresko, Idan Szpektor, Noam Slonim, Khalil Sima’an, Yoad Winter, Indrajit Bhattacharya, Amrita Saha and Eyal Shnarch. Their work appears in journals such as Theory and applications of categories, Natural Language Engineering, Journal of Artificial Intelligence Research, Language Resources and Evaluation and 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.