Leon Bergen

2.6k total citations · 1 hit paper
25 papers, 1.2k citations indexed

About

Leon Bergen is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Leon Bergen has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 10 papers in Cognitive Neuroscience and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Leon Bergen's work include Natural Language Processing Techniques (11 papers), Neurobiology of Language and Bilingualism (9 papers) and Speech and dialogue systems (8 papers). Leon Bergen is often cited by papers focused on Natural Language Processing Techniques (11 papers), Neurobiology of Language and Bilingualism (9 papers) and Speech and dialogue systems (8 papers). Leon Bergen collaborates with scholars based in United States, United Kingdom and Dominican Republic. Leon Bergen's co-authors include Edward Gibson, Steven T. Piantadosi, Noah D. Goodman, Roger Lévy, Kyle Mahowald, Richard Futrell, Isabelle Dautriche, Daniel Grodner, Justine Kao and Jean Y. Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Trends in Cognitive Sciences and Psychological Science.

In The Last Decade

Leon Bergen

23 papers receiving 1.2k citations

Hit Papers

How Efficiency Shapes Human Language 2019 2026 2021 2023 2019 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. How Efficiency Shapes Human Language
    2019 250 citations Edward Gibson, Richard Futrell et al. Trends in Cognitive Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leon Bergen United States 15 465 443 428 386 362 25 1.2k
Kyle Mahowald United States 19 711 1.5× 622 1.4× 427 1.0× 452 1.2× 356 1.0× 45 1.7k
Richard Futrell United States 23 785 1.7× 794 1.8× 449 1.0× 521 1.3× 458 1.3× 69 1.8k
Christina L. Gagné Canada 18 534 1.1× 439 1.0× 539 1.3× 647 1.7× 247 0.7× 71 1.3k
Inbal Arnon Israel 20 821 1.8× 573 1.3× 456 1.1× 1.2k 3.1× 526 1.5× 65 2.0k
Emmanuel Chemla France 27 456 1.0× 461 1.0× 540 1.3× 539 1.4× 763 2.1× 92 1.8k
Chris Sinha United Kingdom 14 252 0.5× 176 0.4× 426 1.0× 589 1.5× 350 1.0× 49 1.3k
Florencia Reali United States 16 294 0.6× 254 0.6× 228 0.5× 374 1.0× 270 0.7× 44 1.0k
Mary Hare United States 17 817 1.8× 420 0.9× 435 1.0× 595 1.5× 277 0.8× 26 1.3k
Joanna Rączaszek‐Leonardi Poland 17 312 0.7× 117 0.3× 335 0.8× 328 0.8× 179 0.5× 54 958
Fermı́n Moscoso del Prado Martı́n United States 16 1.1k 2.3× 348 0.8× 542 1.3× 777 2.0× 206 0.6× 42 1.6k

Countries citing papers authored by Leon Bergen

Since Specialization
Citations

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

Fields of papers citing papers by Leon Bergen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leon Bergen. 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 Leon Bergen. The network helps show where Leon Bergen may publish in the future.

Co-authorship network of co-authors of Leon Bergen

This figure shows the co-authorship network connecting the top 25 collaborators of Leon Bergen. A scholar is included among the top collaborators of Leon Bergen 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 Leon Bergen. Leon Bergen 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.
Regev, Tamar I., et al.. (2024). High-level language brain regions process sublexical regularities. Cerebral Cortex. 34(3). 8 indexed citations
2.
Zhang, Zheng, Leon Bergen, Alexander Paunov, Rachel Ryskin, & Edward Gibson. (2023). Scalar Implicature is Sensitive to Contextual Alternatives. Cognitive Science. 47(2). e13238–e13238. 5 indexed citations
3.
Ryskin, Rachel, et al.. (2021). An ERP index of real-time error correction within a noisy-channel framework of human communication. Neuropsychologia. 158. 107855–107855. 29 indexed citations
4.
Franke, Michael & Leon Bergen. (2020). Theory-Driven Statistical Modeling for Semantics and Pragmatics: A Case Study on Grammatically Generated Implicature Readings. Language. 96(2). e77–e96. 15 indexed citations
5.
Baković, Eric, et al.. (2020). Speakers enhance contextually confusable words. 1991–2002.
6.
Bergen, Leon, et al.. (2020). Word Frequency Does Not Predict Grammatical Knowledge in Language Models. 4040–4054. 3 indexed citations
7.
Bergen, Leon, et al.. (2020). Predicting Reference: What do Language Models Learn about Discourse Models?. 977–982. 9 indexed citations
8.
Gibson, Edward, Richard Futrell, Steven T. Piantadosi, et al.. (2019). How Efficiency Shapes Human Language. Trends in Cognitive Sciences. 23(5). 389–407. 250 indexed citations breakdown →
9.
Gibson, Edward, Richard Futrell, Steven T. Piantadosi, et al.. (2019). How Efficiency Shapes Human Language. Trends in Cognitive Sciences. 23(12). 1087–1087. 34 indexed citations
10.
Barke, Shraddha, et al.. (2019). Constraint-based Learning of Phonological Processes. 6175–6185. 3 indexed citations
11.
Gibson, Edward, Richard Futrell, Julian Jara‐Ettinger, et al.. (2017). Color naming across languages reflects color use. Proceedings of the National Academy of Sciences. 114(40). 10785–10790. 139 indexed citations
12.
Conway, Bevil R., Julian Jara‐Ettinger, Kyle Mahowald, et al.. (2016). Color language reflects usefulness of color. Journal of Vision. 16(12). 619–619.
13.
Bergen, Leon, Roger Lévy, & Noah D. Goodman. (2016). Pragmatic reasoning through semantic inference. Semantics and Pragmatics. 9(20). 1–91. 82 indexed citations
14.
Bergen, Leon & Noah D. Goodman. (2014). The strategic use of noise in pragmatic reasoning. Cognitive Science. 36(36). 2 indexed citations
15.
Kao, Justine, Leon Bergen, & Noah D. Goodman. (2014). Formalizing the Pragmatics of Metaphor Understanding. Cognitive Science. 36(36). 31 indexed citations
16.
Gibson, Edward, et al.. (2013). A Noisy-Channel Account of Crosslinguistic Word-Order Variation. Psychological Science. 24(7). 1079–1088. 127 indexed citations
17.
Bergen, Leon, Noah D. Goodman, & Roger Lévy. (2012). That's what she (could have) said: How alternative utterances affect language use. Cognitive Science. 34(34). 38 indexed citations
18.
Bergen, Leon, Roger Lévy, & Edward Gibson. (2012). Verb omission errors: Evidence of rational processing of noisy language inputs. Cognitive Science. 34(34). 6 indexed citations
19.
Bergen, Leon & Daniel Grodner. (2012). Speaker knowledge influences the comprehension of pragmatic inferences.. Journal of Experimental Psychology Learning Memory and Cognition. 38(5). 1450–1460. 78 indexed citations
20.
Bergen, Leon, et al.. (2010). Learning Structured Preferences. DSpace@MIT (Massachusetts Institute of Technology). 32(32). 5 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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