2026 Stuart M. Shieber: 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	65	2459	2382	1233	1187	211	16972

Research.com Recognitions

2014 - ACM Fellow For contributions to natural-language processing, and to open-access systems and policy.
2004 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the foundations of computational linguistics, to graphical and spokenlanguage interfaces, and to open scientific publishing.

Overview

Stuart M. Shieber is a researcher affiliated with Harvard University in the United States. Their work spans the field of Computer Science with a focus on Artificial Intelligence, supported by a range of publications primarily appearing in arXiv (Cornell University).

The main research topics covered by Shieber include:

Topic Modeling
Natural Language Processing Techniques
Explainable Artificial Intelligence (XAI)
Computer Graphics and Visualization Techniques
Advanced Vision and Imaging
3D Shape Modeling and Analysis
Text Readability and Simplification

Subfields of study explored by Shieber's research are primarily Artificial Intelligence, along with work in Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, and Management of Technology and Innovation.

Selected recent papers authored or coauthored by Stuart M. Shieber include:

Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias, 2020, arXiv (Cornell University)
The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications, 2022, arXiv (Cornell University)
From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step, 2024, arXiv (Cornell University)
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models, 2021, arXiv (Cornell University)
Implicit Chain of Thought Reasoning via Knowledge Distillation, 2023, arXiv (Cornell University)

Frequent coauthors collaborating with Shieber include Yuntian Deng, Sebastian Gehrmann, Yonatan Belinkov, Mirac Süzgün, and Joe Marks.

Their contributions to the academic community have been recognized through several awards, including being named an ACM Fellow in 2014 for contributions related to natural-language processing and open-access systems and policy. Earlier, in 2004, Shieber was made a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) for significant contributions to computational linguistics, graphical and spoken language interfaces, and open scientific publishing.

Best Publications

An introduction to unification-based approaches to grammar

Stuart M. Shieber

2033
Citations
Evidence Against the Context-Freeness of Natural Language

Stuart M. Shieber

1112
Citations
Ellipsis and higher-order unification

Mary Dalrymple;Stuart M. Shieber;Fernando C. N. Pereira

844
Citations
Design galleries: a general approach to setting parameters for computer graphics and animation

J. Marks;B. Andalman;P. A. Beardsley;W. Freeman

826
Citations
Prolog and Natural-Language Analysis

Fernando C. N. Pereira;Stuart M. Shieber

654
Citations
Challenges in Data-to-Document Generation

Sam Joshua Wiseman;Stuart Merrill Shieber;Alexander Sasha Matthew Rush

542
Citations
An empirical study of algorithms for point-feature label placement

Jon Christensen;Joe Marks;Stuart Shieber

531
Citations
Principles and implementation of deductive parsing

Stuart M. Shieber;Yves Schabes;Fernando C.N. Pereira

485
Citations
Synchronous tree-adjoining grammars

Stuart M. Shieber;Yves Schabes

456
Citations
Command parsing and rewrite system

Stuart M. Shieber;John Armstrong;Rafael Jose Baptista;Bryan A. Bentz

288
Citations
Semantic-head-driven generation

Stuart M. Shieber;Gertjan van Noord;Fernando C. N. Pereira;Robert C. Moore

287
Citations
The Formalism and Implementation of PATR-II

Stuart Merrill Shieber;Hans Uszkoreit;Fernando Pereira;Jane Robinson

267
Citations
The Computational Complexity of Cartographic Label Placement

Joe Marks;Stuart Merrill Shieber

253
Citations
An algorithm for generating quantifier scopings

Jerry R. Hobbs;Stuart M. Shieber

247
Citations
Using Restriction to Extend Parsing Algorithms for Complex-Feature-Based Formalisms

Stuart M. Shieber

237
Citations
Learning Global Features for Coreference Resolution

Sam Wiseman;Alexander M. Rush;Stuart M. Shieber

231
Citations
A uniform architecture for parsing and generation

Stuart M. Shieber

230
Citations
Learning Neural Templates for Text Generation

Sam Wiseman;Stuart Shieber;Alexander Sasha Rush

218
Citations
An alternative conception of tree-adjoining derivation

Yves Schabes;Stuart M. Shieber

216
Citations
Lessons from a restricted Turing test

Stuart M. Shieber

214
Citations
Can Automatic Calculating Machines Be Said to Think

M. H. A. Newman;Alan M. Turing;Geoffrey Jefferson;R. B. Braithwaite

198
Citations
Investigating Gender Bias in Language Models Using Causal Mediation Analysis

Jesse Vig;Sebastian Gehrmann;Yonatan Belinkov;Sharon Qian

140
Citations

Frequent Co-Authors

Alexander M. Rush Cornell University

Yonatan Belinkov Technion – Israel Institute of Technology

Barbara J. Grosz Harvard University

Fernando Pereira Google (United States)

Yves Schabes Ab Initio Software

Avi Pfeffer Charles River Laboratories (Netherlands)

Benjamin Van Durme Johns Hopkins University

David C. Parkes Harvard University

Krzysztof Z. Gajos Harvard University

Michael O. Rabin Harvard University

External Links

Personal website of Stuart M. Shieber

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