Stuart M. Shieber

10.4k citations
120 papers · 5.2k indexed · 1 hit paper · h-index 36

Impact in

Papers in

Stuart M. Shieber

116 papers receiving 4.4k citations

Hit Papers

An introduction to unification-based approaches to grammar 1986 · 509 citations
5091986202619992012100200300400500

Peers

Stuart M. Shieber
Comparison fields: 5 of 126
  • Computer Graphics and Computer-Aided Design 396
  • Artificial Intelligence 3.6k
  • Language and Linguistics 750
  • Computational Theory and Mathematics 697
  • Computer Vision and Pattern Recognition 890
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Citations per field
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Citations per year

Countries citing papers authored by Stuart M. Shieber

Since Specialization
Citations

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

Fields of papers citing papers by Stuart M. Shieber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stuart M. Shieber. 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 Stuart M. Shieber. The network helps show where Stuart M. Shieber may publish in the future.

Co-authors

The 25 scholars most cited alongside Stuart M. Shieber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Stuart M. Shieber Line = papers co-authored together Stuart M. Shieber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2
Investigating Gender Bias in Language Models Using Causal Mediation Analysis
202084
3 201694
4
There Can Be No Turing-Test-Passing Memorizing Machines
20144
5
A Context Free TAG Variant
20132
6
Estimating Compact Yet Rich Tree Insertion Grammars
20124
7 201121
8
Recognizing Uncertainty in Speech
201023
9
Bayesian Synchronous Tree-Substitution Grammar Induction and Its Application to Sentence Compression
201013
10 20102
11 20081
12
Does the turing test demonstrate intelligence or not
20065
13
Partially ordered multiset context-free grammars and free-word-order parsing
20031
14 1991103
15
A Parallel Genetic Algorithm for Network-Diagram Layout.
199117
16 199089
17
Parsing and type inference for natural and computer languages
198921
18
An algorithm for generating quantifier scopings
198786
19 198485
20 198425

About Stuart M. Shieber

Stuart M. Shieber is a scholar working on Artificial Intelligence, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Language and Linguistics and Signal Processing, having authored 120 papers that have together received 5.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (64 papers), Topic Modeling (38 papers), Speech and dialogue systems (21 papers), semigroups and automata theory (13 papers), Algorithms and Data Compression (12 papers), Logic, programming, and type systems (10 papers), Semantic Web and Ontologies (9 papers) and Syntax, Semantics, Linguistic Variation (9 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (396 citations), Artificial Intelligence (3.6k citations), Language and Linguistics (750 citations), Computational Theory and Mathematics (697 citations) and Computer Vision and Pattern Recognition (890 citations). Stuart M. Shieber has collaborated with scholars based in United States, Israel and Japan. Frequent co-authors include Fernando C. N. Pereira, Joe Marks, Alexander M. Rush, Sam Wiseman, Yves Schabes, J.A. Christensen, Mary Dalrymple, Rani Nelken, Kathy Ryall and Wheeler Ruml. Their work appears in journals such as Linguistics and Philosophy, Computational Linguistics, Artificial Intelligence, Electronic Commerce Research and Applications and Communications of the ACM.

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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