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.
Do Large Language Models Know What Humans Know?
202355 citationsSean Trott, Benjamin K. Bergen et al.Cognitive Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Benjamin K. Bergen
Since
Specialization
Citations
This map shows the geographic impact of Benjamin K. 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 Benjamin K. Bergen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin K. Bergen more than expected).
Fields of papers citing papers by Benjamin K. Bergen
This network shows the impact of papers produced by Benjamin K. 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 Benjamin K. Bergen. The network helps show where Benjamin K. Bergen may publish in the future.
Co-authorship network of co-authors of Benjamin K. Bergen
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin K. Bergen.
A scholar is included among the top collaborators of Benjamin K. 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 Benjamin K. Bergen. Benjamin K. Bergen is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bergen, Benjamin K., et al.. (2021). The Role of Physical Inference in Pronoun Resolution. eScholarship (California Digital Library). 43(43).1 indexed citations
9.
Trott, Sean, et al.. (2019). Prosodic cues signal the intent of potential indirect requests.. Cognitive Science. 1142–1148.2 indexed citations
10.
Trott, Sean & Benjamin K. Bergen. (2017). A Theoretical Model of Indirect Request Comprehension.. National Conference on Artificial Intelligence. 129–133.6 indexed citations
11.
Parrill, Fey, et al.. (2011). Grammatical aspect in language production: Using gesture to reveal event representations.. Cognitive Science. 33(33).3 indexed citations
12.
Bergen, Benjamin K.. (2008). Constructional Meaning and Mental Simulation. SSRN Electronic Journal.1 indexed citations
13.
Evans, Vyvyan, Benjamin K. Bergen, & Jörg Zinken. (2007). The cognitive linguistics reader. Publication Server of the Institute for German Language (Institute for German Language).92 indexed citations
14.
Bergen, Benjamin K.. (2005). Mental Simulation in Spatial Language Processing. eScholarship (California Digital Library). 27(27).4 indexed citations
15.
Bergen, Benjamin K., et al.. (2005). Lexical Processing Drives Motor Simulation. eScholarship (California Digital Library). 27(27).12 indexed citations
16.
Bergen, Benjamin K., et al.. (2005). Sentence Understanding Engages Motor Processes. eScholarship (California Digital Library). 27(27).23 indexed citations
17.
Bergen, Benjamin K., et al.. (2005). Writing Direction Influences Spatial Cognition. eScholarship (California Digital Library). 27(27).59 indexed citations
Bergen, Benjamin K., et al.. (2003). Embodied Verbal Semantics: Evidence from an Image-Verb Matching Task. eScholarship (California Digital Library). 25(25).27 indexed citations
20.
Bergen, Benjamin K., et al.. (1998). Proceedings of the Twenty-Fourth Annual Meeting of the Berkeley Linguistics Society, February 14-16, 1998 : special session on Indo-European subgrouping and internal relations.
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.