D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 69 Citations 23,333 218 World Ranking 903 National Ranking 550

Research.com Recognitions

Awards & Achievements

2020 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to natural language processing and computational linguistics, and development of widely used techniques in text summarization, question answering, and education.

2018 - Fellow of the American Association for the Advancement of Science (AAAS)

2015 - ACM Fellow For contributions to natural language processing and computational linguistics

2008 - ACM Distinguished Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Natural language processing
  • Programming language

Dragomir R. Radev mainly investigates Artificial intelligence, Information retrieval, Automatic summarization, Natural language processing and Multi-document summarization. Dragomir R. Radev studies Artificial intelligence, namely Cosine similarity. His Information retrieval research is multidisciplinary, relying on both Cohesion, Computational linguistics, Set and Citation.

The concepts of his Automatic summarization study are interwoven with issues in Sentence, Prestige, World Wide Web and Cluster analysis. The Natural language processing study combines topics in areas such as Graph and Taxonomy. His Multi-document summarization study incorporates themes from Paraphrase, Identity and Identification.

His most cited work include:

  • LexRank: graph-based lexical centrality as salience in text summarization (1906 citations)
  • Centroid-based summarization of multiple documents (860 citations)
  • TimeML: Robust Specification of Event and Temporal Expressions in Text (596 citations)

What are the main themes of his work throughout his whole career to date?

Dragomir R. Radev spends much of his time researching Artificial intelligence, Natural language processing, Information retrieval, Automatic summarization and Question answering. Dragomir R. Radev focuses mostly in the field of Artificial intelligence, narrowing it down to topics relating to Graph and, in certain cases, Centrality. His study looks at the relationship between Natural language processing and fields such as Domain, as well as how they intersect with chemical problems.

Within one scientific family, Dragomir R. Radev focuses on topics pertaining to Citation under Information retrieval, and may sometimes address concerns connected to Field. His studies in Automatic summarization integrate themes in fields like Salient, Lexical similarity and World Wide Web. His work deals with themes such as Document retrieval and Search engine, which intersect with Question answering.

He most often published in these fields:

  • Artificial intelligence (57.61%)
  • Natural language processing (47.83%)
  • Information retrieval (40.94%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (57.61%)
  • Natural language processing (47.83%)
  • Information retrieval (40.94%)

In recent papers he was focusing on the following fields of study:

His primary areas of investigation include Artificial intelligence, Natural language processing, Information retrieval, Domain and SQL. His work on Artificial intelligence is being expanded to include thematically relevant topics such as Machine learning. His Natural language processing research includes elements of Dependency, Context, Word and Deep learning.

His study in the field of Information extraction is also linked to topics like Key. His research integrates issues of Natural language, Task and Test set in his study of SQL. His primary area of study in Automatic summarization is in the field of Multi-document summarization.

Between 2015 and 2021, his most popular works were:

  • TypeSQL: Knowledge-Based Type-Aware Neural Text-to-SQL Generation (101 citations)
  • Improving Text-to-SQL Evaluation Methodology. (97 citations)
  • Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task (94 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Programming language
  • Natural language processing

His scientific interests lie mostly in Artificial intelligence, Natural language processing, Information retrieval, SQL and Automatic summarization. His research related to Sentence, Coreference and Artificial neural network might be considered part of Artificial intelligence. The Natural language processing study combines topics in areas such as Context, Antecedent, Resolution and Cluster analysis.

His Information retrieval research includes elements of Computational linguistics and Benchmark. His research in SQL intersects with topics in Domain, Machine learning, Test set and Natural language. His research on Automatic summarization focuses in particular on Multi-document summarization.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

LexRank: graph-based lexical centrality as salience in text summarization

Günes Erkan;Dragomir R. Radev.
Journal of Artificial Intelligence Research (2004)

2771 Citations

Centroid-based summarization of multiple documents

Dragomir R. Radev;Hongyan Jing;Małgorzata Styś;Daniel Tam.
Information Processing and Management (2004)

1867 Citations

TimeML: Robust Specification of Event and Temporal Expressions in Text

James Pustejovsky;José M. Castaño;Robert Ingria;Roser Saurí.
New Directions in Question Answering (2003)

901 Citations

Rumor has it: Identifying Misinformation in Microblogs

Vahed Qazvinian;Emily Rosengren;Dragomir R. Radev;Qiaozhu Mei.
empirical methods in natural language processing (2011)

764 Citations

How to Analyze Political Attention with Minimal Assumptions and Costs

Kevin M. Quinn;Burt L. Monroe;Michael Colaresi;Michael H. Crespin.
American Journal of Political Science (2010)

713 Citations

Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies

Dragomir R. Radev;Hongyan Jing;Malgorzata Budzikowska.
north american chapter of the association for computational linguistics (2000)

707 Citations

Generating natural language summaries from multiple on-line sources

Dragomir R. Radev;Kathleen R. McKeown.
natural language generation (1998)

625 Citations

Introduction to the special issue on summarization

Dragomir R. Radev;Eduard Hovy;Kathleen McKeown.
Computational Linguistics (2002)

579 Citations

Generating summaries of multiple news articles

Kathleen McKeown;Dragomir R. Radev.
international acm sigir conference on research and development in information retrieval (1995)

508 Citations

System, method and program product for interactive natural dialog

Joyce Yue Chai;Sunil Subramanyam Govindappa;Nandakishore Kambhatla;Tetsunosuke Fujisaki.
(2000)

464 Citations

Best Scientists Citing Dragomir R. Radev

Kathleen R. McKeown

Kathleen R. McKeown

Columbia University

Publications: 57

Xiaojun Wan

Xiaojun Wan

Peking University

Publications: 53

Wenjie Li

Wenjie Li

Hong Kong Polytechnic University

Publications: 52

Horacio Saggion

Horacio Saggion

Pompeu Fabra University

Publications: 40

Min-Yen Kan

Min-Yen Kan

National University of Singapore

Publications: 37

Tao Li

Tao Li

Florida International University

Publications: 34

Ani Nenkova

Ani Nenkova

Adobe Systems (United States)

Publications: 29

Thomas R. Gruber

Thomas R. Gruber

Apple (United States)

Publications: 28

Chin-Yew Lin

Chin-Yew Lin

Microsoft (United States)

Publications: 26

Maria Liakata

Maria Liakata

Turing Institute

Publications: 26

James Pustejovsky

James Pustejovsky

Brandeis University

Publications: 24

Robert Gaizauskas

Robert Gaizauskas

University of Sheffield

Publications: 24

Maarten de Rijke

Maarten de Rijke

University of Amsterdam

Publications: 24

Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

Publications: 24

Xueqi Cheng

Xueqi Cheng

Chinese Academy of Sciences

Publications: 23

Sujian Li

Sujian Li

Peking University

Publications: 23

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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