Roy Bar-Haim

1.1k total citations
23 papers, 492 citations indexed

About

Roy Bar-Haim is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Roy Bar-Haim has authored 23 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 4 papers in Information Systems and 2 papers in Communication. Recurrent topics in Roy Bar-Haim's work include Topic Modeling (16 papers), Natural Language Processing Techniques (12 papers) and Sentiment Analysis and Opinion Mining (8 papers). Roy Bar-Haim is often cited by papers focused on Topic Modeling (16 papers), Natural Language Processing Techniques (12 papers) and Sentiment Analysis and Opinion Mining (8 papers). Roy Bar-Haim collaborates with scholars based in Israel, India and United States. Roy Bar-Haim's 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 and has published in prestigious journals such as Journal of Artificial Intelligence Research, Language Resources and Evaluation and Natural Language Engineering.

In The Last Decade

Roy Bar-Haim

23 papers receiving 438 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Roy Bar-Haim Israel 12 432 78 60 37 31 23 492
Quang-Thuy Ha Vietnam 11 309 0.7× 82 1.1× 55 0.9× 34 0.9× 18 0.6× 46 409
Hen‐Hsen Huang Taiwan 13 451 1.0× 90 1.2× 75 1.3× 91 2.5× 19 0.6× 121 560
Amir Feder Israel 9 190 0.4× 116 1.5× 22 0.4× 38 1.0× 31 1.0× 18 342
Jingjing Xu China 15 637 1.5× 79 1.0× 23 0.4× 189 5.1× 51 1.6× 23 740
Benjamin Rosenfeld Israel 9 200 0.5× 90 1.2× 57 0.9× 14 0.4× 6 0.2× 12 263
Kostadin Mishev North Macedonia 6 138 0.3× 41 0.5× 91 1.5× 17 0.5× 12 0.4× 15 277
Jiayi Chen China 8 145 0.3× 37 0.5× 15 0.3× 45 1.2× 15 0.5× 37 247
Chun-Neng Huang United States 7 162 0.4× 78 1.0× 161 2.7× 20 0.5× 50 1.6× 8 346
Henry G. Goldberg United States 12 202 0.5× 159 2.0× 43 0.7× 23 0.6× 73 2.4× 22 375
Páraic Sheridan Ireland 13 451 1.0× 160 2.1× 39 0.7× 58 1.6× 19 0.6× 25 530

Countries citing papers authored by Roy Bar-Haim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Roy Bar-Haim

This figure shows the co-authorship network connecting the top 25 collaborators of Roy Bar-Haim. A scholar is included among the top collaborators of Roy Bar-Haim 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 Roy Bar-Haim. Roy Bar-Haim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bar-Haim, Roy, et al.. (2023). Towards Automated Assessment of Organizational Cybersecurity Posture in Cloud. 167–175. 2 indexed citations
2.
Bar-Haim, Roy, et al.. (2023). From Key Points to Key Point Hierarchy: Structured and Expressive Opinion Summarization. 912–928. 3 indexed citations
3.
Bar-Haim, Roy, et al.. (2021). Advances in Debating Technologies: Building AI That Can Debate Humans. 1–5. 2 indexed citations
4.
Agarwal, Vikas, et al.. (2021). AI-Assisted Security Controls Mapping for Clouds Built for Regulated Workloads. 136–146. 5 indexed citations
5.
Bar-Haim, Roy, Orith Toledo‐Ronen, Yonatan Bilu, et al.. (2019). From Surrogacy to Adoption; From Bitcoin to Cryptocurrency: Debate Topic Expansion. 977–990. 5 indexed citations
6.
Jochim, Charles, Francesca Bonin, Roy Bar-Haim, & Noam Slonim. (2018). SLIDE - a Sentiment Lexicon of Common Idioms. Language Resources and Evaluation. 5 indexed citations
7.
Toledo‐Ronen, Orith, Roy Bar-Haim, Alon Halfon, et al.. (2018). LEARNING SENTIMENT COMPOSITION FROM SENTIMENT LEXICONS. 2230–2241. 6 indexed citations
8.
Bar-Haim, Roy, Indrajit Bhattacharya, Francesco Dinuzzo, Amrita Saha, & Noam Slonim. (2017). Stance Classification of Context-Dependent Claims. 251–261. 80 indexed citations
9.
Bar-Haim, Roy, Ido Dagan, & Jonathan Berant. (2015). Knowledge-Based Textual Inference via Parse-Tree Transformations. Journal of Artificial Intelligence Research. 54. 1–57. 4 indexed citations
10.
Slonim, Noam, Ehud Aharoni, Carlos Alzate, et al.. (2014). Claims on demand -- an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. International Conference on Computational Linguistics. 6–9. 4 indexed citations
11.
Bar-Haim, Roy, et al.. (2011). Identifying and Following Expert Investors in Stock Microblogs. Empirical Methods in Natural Language Processing. 1310–1319. 64 indexed citations
12.
Mirkin, Shachar, Roy Bar-Haim, Ido Dagan, et al.. (2009). Addressing Discourse and Document Structure in the RTE Search Task.. Theory and applications of categories. 11 indexed citations
13.
Bar-Haim, Roy, Jonathan Berant, & Ido Dagan. (2009). A compact forest for scalable inference over entailment and paraphrase rules. 3. 1056–1056. 13 indexed citations
14.
Szpektor, Idan, Ido Dagan, Roy Bar-Haim, & Jacob Goldberger. (2008). Contextual Preferences. Meeting of the Association for Computational Linguistics. 683–691. 31 indexed citations
15.
Bar-Haim, Roy, Ido Dagan, Shachar Mirkin, et al.. (2008). Efficient Semantic Deduction and Approximate Matching over Compact Parse Forests.. Theory and applications of categories. 23 indexed citations
16.
Bar-Haim, Roy, et al.. (2007). Semantic inference at the lexical-syntactic level. National Conference on Artificial Intelligence. 871–876. 46 indexed citations
17.
Bar-Haim, Roy, Khalil Sima’an, & Yoad Winter. (2007). Part-of-speech tagging of Modern Hebrew text. Natural Language Engineering. 14(2). 223–251. 30 indexed citations
18.
Bar-Haim, Roy, et al.. (2007). Semantic inference at the lexical-syntactic level for textual entailment recognition. 131–131. 23 indexed citations
19.
Bar-Haim, Roy, Idan Szpektor, & Oren Glickman. (2005). Definition and analysis of intermediate entailment levels. 55–60. 26 indexed citations
20.
Bar-Haim, Roy, Khalil Sima’an, & Yoad Winter. (2005). Choosing an optimal architecture for segmentation and POS-tagging of modern Hebrew. 39–39. 29 indexed citations

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.

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