Ari Rappoport

5.6k total citations · 2 hit papers
101 papers, 3.4k citations indexed

About

Ari Rappoport is a scholar working on Artificial Intelligence, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Ari Rappoport has authored 101 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Artificial Intelligence, 26 papers in Computer Graphics and Computer-Aided Design and 16 papers in Computational Mechanics. Recurrent topics in Ari Rappoport's work include Natural Language Processing Techniques (53 papers), Topic Modeling (51 papers) and Computer Graphics and Visualization Techniques (17 papers). Ari Rappoport is often cited by papers focused on Natural Language Processing Techniques (53 papers), Topic Modeling (51 papers) and Computer Graphics and Visualization Techniques (17 papers). Ari Rappoport collaborates with scholars based in Israel, United States and Czechia. Ari Rappoport's co-authors include Oren Tsur, Dmitry Davidov, Roi Reichart, Omri Abend, Roy Schwartz, Elior Sulem, Paul Borrel, Alla Sheffer, Michel Bercovier and Eyal Ofek and has published in prestigious journals such as Annual Review of Biochemistry, ACM Transactions on Graphics and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Ari Rappoport

100 papers receiving 3.1k citations

Hit Papers

Enhanced Sentiment Learning Using Twitter Hashtags and Sm... 2010 2026 2015 2020 2010 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ari Rappoport Israel 32 2.3k 549 500 464 422 101 3.4k
Stuart M. Shieber United States 36 3.6k 1.6× 396 0.7× 146 0.3× 890 1.9× 271 0.6× 120 5.2k
Michael Rabinovich United States 27 794 0.3× 198 0.4× 222 0.4× 181 0.4× 653 1.5× 112 3.3k
Stephen Kobourov United States 28 486 0.2× 357 0.7× 43 0.1× 965 2.1× 285 0.7× 145 2.2k
James D. Foley United States 25 456 0.2× 378 0.7× 211 0.4× 993 2.1× 358 0.8× 104 2.8k
Michael Sedlmair Germany 30 1.2k 0.5× 145 0.3× 40 0.1× 2.5k 5.3× 201 0.5× 141 3.5k
Mira Dontcheva United States 34 762 0.3× 220 0.4× 85 0.2× 2.0k 4.2× 886 2.1× 76 3.8k
Jianguo Xiao China 28 1.9k 0.8× 206 0.4× 141 0.3× 1.1k 2.3× 402 1.0× 112 2.9k
Melanie Tory Canada 31 793 0.3× 182 0.3× 38 0.1× 2.2k 4.8× 299 0.7× 103 3.4k
Wolfgang Aigner Austria 25 718 0.3× 122 0.2× 71 0.1× 1.9k 4.0× 181 0.4× 100 2.5k
Zhiyong Cheng China 35 1.6k 0.7× 55 0.1× 147 0.3× 2.1k 4.6× 1.2k 2.9× 118 3.6k

Countries citing papers authored by Ari Rappoport

Since Specialization
Citations

This map shows the geographic impact of Ari Rappoport'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 Ari Rappoport with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ari Rappoport more than expected).

Fields of papers citing papers by Ari Rappoport

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ari Rappoport. 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 Ari Rappoport. The network helps show where Ari Rappoport may publish in the future.

Co-authorship network of co-authors of Ari Rappoport

This figure shows the co-authorship network connecting the top 25 collaborators of Ari Rappoport. A scholar is included among the top collaborators of Ari Rappoport 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 Ari Rappoport. Ari Rappoport 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.
Sulem, Elior, Omri Abend, & Ari Rappoport. (2020). Semantic Structural Decomposition for Neural Machine Translation. Joint Conference on Lexical and Computational Semantics. 50–57. 7 indexed citations
2.
Abend, Omri, et al.. (2017). UCCAApp: Web-application for Syntactic and Semantic Phrase-based Annotation. 109–114. 10 indexed citations
3.
Schwartz, Roy, Roi Reichart, & Ari Rappoport. (2014). Minimally Supervised Classification to Semantic Categories using Automatically Acquired Symmetric Patterns. International Conference on Computational Linguistics. 1612–1623. 4 indexed citations
4.
Schwartz, Roy, Omri Abend, & Ari Rappoport. (2012). Learnability-Based Syntactic Annotation Design. International Conference on Computational Linguistics. 2405–2422. 22 indexed citations
5.
Schwartz, Roy, Omri Abend, Roi Reichart, & Ari Rappoport. (2011). Neutralizing Linguistically Problematic Annotations in Unsupervised Dependency Parsing Evaluation. Meeting of the Association for Computational Linguistics. 663–672. 29 indexed citations
6.
Reichart, Roi, Omri Abend, & Ari Rappoport. (2010). Type Level Clustering Evaluation: New Measures and a POS Induction Case Study. 77–87. 8 indexed citations
7.
Abend, Omri, Roi Reichart, & Ari Rappoport. (2010). Improved Unsupervised POS Induction through Prototype Discovery. Meeting of the Association for Computational Linguistics. 1298–1307. 12 indexed citations
8.
Rappoport, Ari, et al.. (2010). Bilingual Lexicon Generation Using Non-Aligned Signatures. Meeting of the Association for Computational Linguistics. 98–107. 29 indexed citations
9.
Davidov, Dmitry, Oren Tsur, & Ari Rappoport. (2010). Enhanced Sentiment Learning Using Twitter Hashtags and Smileys. International Conference on Computational Linguistics. 241–249. 451 indexed citations breakdown →
10.
Reichart, Roi, Raanan Fattal, & Ari Rappoport. (2010). Improved Unsupervised POS Induction Using Intrinsic Clustering Quality and a Zipfian Constraint. 57–66. 5 indexed citations
11.
Davidov, Dmitry & Ari Rappoport. (2010). Automated Translation of Semantic Relationships. International Conference on Computational Linguistics. 241–249. 3 indexed citations
12.
Davidov, Dmitry, Oren Tsur, & Ari Rappoport. (2010). Semi-supervised recognition of sarcastic sentences in Twitter and Amazon. 107–116. 279 indexed citations
13.
Reichart, Roi & Ari Rappoport. (2010). Improved Fully Unsupervised Parsing with Zoomed Learning. Empirical Methods in Natural Language Processing. 684–693. 4 indexed citations
14.
Srikumar, Vivek, Roi Reichart, Mark Sammons, Ari Rappoport, & Dan Roth. (2008). Extraction of Entailed Semantic Relations Through Syntax-Based Comma Resolution. Meeting of the Association for Computational Linguistics. 1030–1038. 12 indexed citations
15.
Davidov, Dmitry & Ari Rappoport. (2008). Classification of Semantic Relationships between Nominals Using Pattern Clusters. Meeting of the Association for Computational Linguistics. 227–235. 37 indexed citations
16.
Davidov, Dmitry & Ari Rappoport. (2008). Unsupervised Discovery of Generic Relationships Using Pattern Clusters and its Evaluation by Automatically Generated SAT Analogy Questions. Meeting of the Association for Computational Linguistics. 692–700. 40 indexed citations
17.
Reichart, Roi & Ari Rappoport. (2007). An Ensemble Method for Selection of High Quality Parses. Meeting of the Association for Computational Linguistics. 408–415. 18 indexed citations
18.
Davidov, Dmitry, Ari Rappoport, & Moshe Koppel. (2007). Fully Unsupervised Discovery of Concept-Specific Relationships by Web Mining. Meeting of the Association for Computational Linguistics. 232–239. 47 indexed citations
19.
Reichart, Roi & Ari Rappoport. (2007). Self-Training for Enhancement and Domain Adaptation of Statistical Parsers Trained on Small Datasets. Meeting of the Association for Computational Linguistics. 616–623. 66 indexed citations
20.
Rappoport, Ari, et al.. (2004). Integrated feature-based and geometric CAD data exchange. 183–190. 32 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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