Ido Dagan

16.5k total citations · 2 hit papers
218 papers, 7.7k citations indexed

About

Ido Dagan is a scholar working on Artificial Intelligence, Information Systems and Molecular Biology. According to data from OpenAlex, Ido Dagan has authored 218 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 208 papers in Artificial Intelligence, 18 papers in Information Systems and 12 papers in Molecular Biology. Recurrent topics in Ido Dagan's work include Natural Language Processing Techniques (182 papers), Topic Modeling (172 papers) and Advanced Text Analysis Techniques (43 papers). Ido Dagan is often cited by papers focused on Natural Language Processing Techniques (182 papers), Topic Modeling (172 papers) and Advanced Text Analysis Techniques (43 papers). Ido Dagan collaborates with scholars based in Israel, United States and France. Ido Dagan's co-authors include Omer Levy, Yoav Goldberg, Oren Glickman, Jacob Goldberger, Idan Szpektor, Ronen Feldman, Alon Itai, Danilo Giampiccolo, Oren Melamud and Lillian Lee and has published in prestigious journals such as Current Opinion in Genetics & Development, Machine Learning and Journal of Machine Learning Research.

In The Last Decade

Ido Dagan

209 papers receiving 6.9k citations

Hit Papers

Improving Distributional Similarity with Lessons Learned ... 2015 2026 2018 2022 2015 2016 200 400 600

Peers

Ido Dagan
Comparison fields: 5 of 136
  • Artificial Intelligence 7.1k
  • Information Systems 980
  • Computer Vision and Pattern Recognition 688
  • Molecular Biology 526
  • Computational Theory and Mathematics 225
Replace Yūji Matsumoto with:
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Ryan McDonald United States
David Yarowsky United States
Hwee Tou Ng Singapore
Eneko Agirre Spain
Dekang Lin Canada
Patrick Pantel United States
Roberto Navigli Italy
Philipp Cimiano Germany
David McClosky United States
Yūji Matsumoto Japan View profile →
Citations per field, relative to Ido Dagan
Ido Dagan · 1×
Citations per year, relative to Ido Dagan
Ido Dagan · 1×

Countries citing papers authored by Ido Dagan

Since Specialization
Citations

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

Fields of papers citing papers by Ido Dagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ido Dagan

This figure shows the co-authorship network connecting the top 25 collaborators of Ido Dagan. A scholar is included among the top collaborators of Ido Dagan 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 Ido Dagan. Ido Dagan 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
# Work Indexed citations
1 0
2 0
3 1
4 42
5
Crowdsourcing a High-Quality Gold Standard for QA-SRL.
1
6 117
7
SetExpander: End-to-end Term Set Expansion Based on Multi-Context Term Embeddings
1
8 135
9
CogALex-V Shared Task: LexNET - Integrated Path-based and Distributional Method for the Identification of Semantic Relations
4
10
PLIS: a Probabilistic Lexical Inference System
1
11
Statistical Thesaurus Construction for a Morphologically Rich Language
6
12
BIUTEE: A Modular Open-Source System for Recognizing Textual Entailment
14
13
Entailment-based Text Exploration with Application to the Health-care Domain
10
14
Efficient Search for Transformation-based Inference
11
15
Towards a Probabilistic Model for Lexical Entailment
4
16
Addressing Discourse and Document Structure in the RTE Search Task.
11
17
Contextual Preferences
31
18 41
19
Scaling Web-based Acquisition of Entailment Relations.
118
20
Identifying Structure across Pre-partitioned Data
1

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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