Robert C. Berwick

7.2k total citations · 1 hit paper
98 papers, 3.3k citations indexed

About

Robert C. Berwick is a scholar working on Artificial Intelligence, Cultural Studies and Language and Linguistics. According to data from OpenAlex, Robert C. Berwick has authored 98 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 31 papers in Cultural Studies and 26 papers in Language and Linguistics. Recurrent topics in Robert C. Berwick's work include Natural Language Processing Techniques (42 papers), Language and cultural evolution (31 papers) and Syntax, Semantics, Linguistic Variation (24 papers). Robert C. Berwick is often cited by papers focused on Natural Language Processing Techniques (42 papers), Language and cultural evolution (31 papers) and Syntax, Semantics, Linguistic Variation (24 papers). Robert C. Berwick collaborates with scholars based in United States, Netherlands and United Kingdom. Robert C. Berwick's co-authors include Noam Chomsky, Johan J. Bolhuis, Kazuo Okanoya, Angela D. Friederici, Gabriël J. L. Beckers, Partha Niyogi, Amy Weinberg, Carol L. Tenny, Steven Abney and Yingxu Wang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Trends in Cognitive Sciences.

In The Last Decade

Robert C. Berwick

93 papers receiving 3.0k citations

Hit Papers

Evolution, brain, and the nature of language 2013 2026 2017 2021 2013 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert C. Berwick United States 27 1.2k 947 895 865 663 98 3.3k
Cédric Boeckx Spain 31 679 0.6× 662 0.7× 1.7k 1.8× 414 0.5× 385 0.6× 132 2.8k
Philippe Schlenker France 29 638 0.5× 175 0.2× 1.3k 1.5× 660 0.8× 285 0.4× 97 2.4k
Emmanuel Chemla France 27 461 0.4× 212 0.2× 763 0.9× 539 0.6× 456 0.7× 92 1.8k
Charles Yang United States 20 635 0.5× 488 0.5× 817 0.9× 1.0k 1.2× 355 0.5× 54 1.9k
Thomas G. Bever United States 39 937 0.8× 399 0.4× 1.3k 1.4× 2.8k 3.3× 3.1k 4.6× 130 5.9k
Jennifer Culbertson United Kingdom 21 753 0.6× 551 0.6× 715 0.8× 1.0k 1.2× 747 1.1× 77 2.7k
James L. Morgan United States 36 845 0.7× 343 0.4× 381 0.4× 3.3k 3.8× 982 1.5× 102 5.0k
Beatrice T. Gardner United States 9 398 0.3× 409 0.4× 1.0k 1.1× 3.0k 3.5× 841 1.3× 12 4.1k
James R. Hurford United Kingdom 16 258 0.2× 595 0.6× 509 0.6× 299 0.3× 163 0.2× 46 1.3k
Terry L. Smith United States 6 338 0.3× 383 0.4× 591 0.7× 736 0.9× 400 0.6× 17 1.9k

Countries citing papers authored by Robert C. Berwick

Since Specialization
Citations

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

Fields of papers citing papers by Robert C. Berwick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert C. Berwick. 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 Robert C. Berwick. The network helps show where Robert C. Berwick may publish in the future.

Co-authorship network of co-authors of Robert C. Berwick

This figure shows the co-authorship network connecting the top 25 collaborators of Robert C. Berwick. A scholar is included among the top collaborators of Robert C. Berwick 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 Robert C. Berwick. Robert C. Berwick 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
1.
Wang, Yingxu, Bernard Widrow, C. A. R. Hoare, et al.. (2023). The odyssey to next-generation computers: cognitive computers (κC) inspired by the brain and powered by intelligent mathematics. Frontiers in Computer Science. 5. 1 indexed citations
2.
Chomsky, Noam, T. Daniel Seely, Robert C. Berwick, et al.. (2023). Merge and the Strong Minimalist Thesis. Cambridge University Press eBooks. 19 indexed citations
3.
Bovill, Michelle, Catherine Chamberlain, Jessica Bennett, et al.. (2021). Building an Indigenous-Led Evidence Base for Smoking Cessation Care among Aboriginal and Torres Strait Islander Women during Pregnancy and Beyond: Research Protocol for the Which Way? Project. International Journal of Environmental Research and Public Health. 18(3). 1342–1342. 13 indexed citations
4.
Berwick, Robert C., et al.. (2017). Parameter setting is feasible. 41(3). 391–408. 7 indexed citations
5.
Miyagawa, Shigeru, Shiro Ojima, Robert C. Berwick, & Kazuo Okanoya. (2014). The integration hypothesis of human language evolution and the nature of contemporary languages. Frontiers A Journal of Women Studies. 6 indexed citations
6.
Villavicencio, Aline, Marco Idiart, Robert C. Berwick, & Igor Malioutov. (2013). Language Acquisition and Probabilistic Models: keeping it simple. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 1321–1330. 2 indexed citations
7.
Ali, Mohamed Sami Ben, Aboul Ella Hassanien, Nashwa El-Bendary, & Robert C. Berwick. (2012). Incorporating random forest trees with particle swarm optimization for automatic image annotation. Federated Conference on Computer Science and Information Systems. 763–769. 5 indexed citations
8.
Villavicencio, Aline, Beracah Yankama, Marco Idiart, & Robert C. Berwick. (2012). A large scale annotated child language construction database. Language Resources and Evaluation. 2370–2374. 1 indexed citations
9.
Berwick, Robert C., Anna Korhonen, Thierry Poibeau, & Aline Villavicencio. (2012). Proceedings of the Workshop on Computational Models of Language Acquisition and Loss. 70. 1 indexed citations
10.
Fong, Sandiway & Robert C. Berwick. (2008). Treebank Parsing and Knowledge of Language: A Cognitive Perspective. eScholarship (California Digital Library). 30(30). 9 indexed citations
11.
Berwick, Robert C. & Noam Chomsky. (2008). Poverty of the Stimulus' Revisited: Recent Challenges Reconsidered. eScholarship (California Digital Library). 30(30). 12 indexed citations
12.
Yang, Charles & Robert C. Berwick. (1996). Principle-based Parsing for Chinese. Waseda University Repository (Waseda University). 363–371. 1 indexed citations
13.
Niyogi, Partha & Robert C. Berwick. (1996). Learning from triggers. Linguistic Inquiry. 27(4). 605–622. 27 indexed citations
14.
Abney, Steven, Robert C. Berwick, & Carol L. Tenny. (1991). Principle-Based Parsing: Computation and Psycholinguistics. Kluwer Academic Publishers eBooks. 88 indexed citations
15.
Berwick, Robert C., et al.. (1985). Parsing with assertion sets and information monotonicity. International Joint Conference on Artificial Intelligence. 769–771. 9 indexed citations
16.
Berwick, Robert C. & Amy Weinberg. (1985). Deterministic Parsing: A Modern View. Scholarworks (University of Massachusetts Amherst). 15(1). 3. 2 indexed citations
17.
Berwick, Robert C.. (1984). Bounded context parsing and easy learnability. 20–23. 2 indexed citations
18.
Berwick, Robert C.. (1983). Learning word meanings from examples. International Joint Conference on Artificial Intelligence. 459–461. 22 indexed citations
19.
Berwick, Robert C.. (1982). Computational complexity and lexical-functional grammar. Computational Linguistics. 8(3). 97–109. 14 indexed citations
20.
Berwick, Robert C.. (1979). Learning structural descriptions of grammar rules from examples. DSpace@MIT (Massachusetts Institute of Technology). 56–58. 9 indexed citations

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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