2026 Ralph Grishman: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	68	2062	1997	1042	1002	305	21235

Discipline name

D-Index

World Ranking

Current World Ranking

National Ranking

Current National Ranking

Publications

Citations

Computer Science

2062

1997

1042

1002

305

21235

Overview

Ralph Grishman is affiliated with New York University in the United States. Their research spans several areas within computer science, with a particular concentration on artificial intelligence.

The scientist's main fields of study include:

Computer Science

More specifically, their subfields of study involve:

Artificial Intelligence
Molecular Biology

Grishman's research covers multiple topics, including:

Topic Modeling
Biomedical Text Mining and Ontologies
Semantic Web and Ontologies
Natural Language Processing Techniques
Machine Learning and Algorithms

The scientist has contributed to academic literature in various venues, such as:

Computer Systems Science and Engineering
Intelligent Automation & Soft Computing
Computational Linguistics

Recent papers by Grishman and frequent coauthors include:

Lexicalized Dependency Paths Based Supervised Learning for Relation Extraction (2022), published in Computer Systems Science and Engineering
Employing Lexicalized Dependency Paths for Active Learning of Relation Extraction (2022), published in Intelligent Automation & Soft Computing
MUCking In, or Fifty Years in Information Extraction (2025), published in Computational Linguistics

One frequent coauthor associated with these works is Huiyu Sun.

Best Publications

Message Understanding Conference-6: a brief history

Ralph Grishman;Beth Sundheim

2167
Citations
Information Extraction: Techniques and Challenges

Ralph Grishman

805
Citations
Joint Event Extraction via Recurrent Neural Networks

Thien Huu Nguyen;Kyunghyun Cho;Ralph Grishman

663
Citations
Procedure for quantitatively comparing the syntactic coverage of English grammars

S. Abney;S. Flickenger;C. Gdaniec;C. Grishman

662
Citations
A maximum entropy approach to named entity recognition

Ralph Grishman;Andrew Eliot Borthwick

660
Citations
Discovering Relations among Named Entities from Large Corpora

Takaaki Hasegawa;Satoshi Sekine;Ralph Grishman

612
Citations
Relation Extraction: Perspective from Convolutional Neural Networks

Thien Huu Nguyen;Ralph Grishman

601
Citations
Refining Event Extraction through Cross-Document Inference

Heng Ji;Ralph Grishman

512
Citations
Overview of the TAC 2010 Knowledge Base Population Track

Heng Ji;Heng Ji;Ralph Grishman;Hoa Trang Dang;Kira Griffitt

474
Citations
Extracting Relations with Integrated Information Using Kernel Methods

Shubin Zhao;Ralph Grishman

467
Citations
Event Detection and Domain Adaptation with Convolutional Neural Networks

Thien Huu Nguyen;Ralph Grishman

438
Citations
The NomBank Project: An Interim Report

Adam L. Meyers;Ruth Reeves;Catherine Macleod;Rachel Szekely

428
Citations
Knowledge Base Population: Successful Approaches and Challenges

Heng Ji;Ralph Grishman

398
Citations
Computational linguistics : an introduction

Ralph Grishman

392
Citations
Graph Convolutional Networks With Argument-Aware Pooling for Event Detection

Thien Huu Nguyen;Ralph Grishman

371
Citations
Exploiting diverse knowledge sources via maximum entropy in named entity recognition

Andrew Borthwick;John Sterling;Eugene Agichtein;Ralph Grishman

350
Citations
Using Document Level Cross-Event Inference to Improve Event Extraction

Shasha Liao;Ralph Grishman

350
Citations
NYU: Description of the MENE Named Entity System as Used in MUC-7

Andrew Borthwick;John Sterling;Eugene Agichtein;Ralph Grishman

337
Citations
Automatic acquisition of domain knowledge for Information Extraction

Roman Yangarber;Ralph Grishman;Pasi Tapanainen;Silja Huttunen

325
Citations
Comlex Syntax: building a computational lexicon

Ralph Grishman;Catherine Macleod;Adam Meyers

303
Citations

Frequent Co-Authors

Heng Ji University of Illinois at Urbana-Champaign

Satoshi Sekine RIKEN

Dilek Hakkani-Tur University of Illinois at Urbana-Champaign

Mari Ostendorf University of Washington

Marc Snir University of Illinois at Urbana-Champaign

Kathleen R. McKeown Columbia University

Alan Ritter Georgia Institute of Technology

Ellen Riloff University of Utah

Nancy Ide Vassar College

Leo Joskowicz Hebrew University of Jerusalem

External Links

Personal website of Ralph Grishman Google Scholar page

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