Sean Trott

27 papers receiving 155 citations

Hit Papers

Do Large Language Models Know What Humans Know?202320262024202520231020304050

Peers

Sean Trott
Comparison fields: 5 of 50
  • Artificial Intelligence 88
  • Experimental and Cognitive Psychology 40
  • Cognitive Neuroscience 32
  • Developmental and Educational Psychology 26
  • Social Psychology 25
Replace Francis Mollica with:
Francis Mollica United States
Caroline Lehr Switzerland
Marc Tomlinson United States
Annika Silvervarg Sweden
Dominique Brunato⋄ Italy
Friederike Kern Germany
Yaron McNabb Netherlands
Christina Sanchez‐Stockhammer Germany
Ngee Thai Yap Malaysia
Roland Kehrein Luxembourg
Sean Trott relative to Francis Mollica United States Francis Mollica's profile →
Citations per field
00.5×1.5×
Francis Mollica · 1×
Citations per year

Countries citing papers authored by Sean Trott

Since Specialization
Citations

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

Fields of papers citing papers by Sean Trott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Trott

This figure shows the co-authorship network connecting the top 25 collaborators of Sean Trott. A scholar is included among the top collaborators of Sean Trott 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 Sean Trott. Sean Trott 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
#WorkIndexed citations
1 1
2 6
3 1
4 1
5 11
6 3
7
Do Large Language Models Know What Humans Know?breakdown →
55
8 6
9 3
10 1
11 6
12 6
13 1
14 8
15
Prosodic cues signal the intent of potential indirect requests.
2
16
Grammar Scaling: Leveraging FrameNet Data to Increase Embodied Construction Grammar Coverage.
4
17
A Theoretical Model of Indirect Request Comprehension.
6
18
Semantically-Driven Coreference Resolution with Embodied Construction Grammar.
1
19
Theoretical Concerns for the Integration of Repair.
2
20
Natural Language Understanding and Communication for Multi-Agent Systems.
4

About Sean Trott

Sean Trott is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and General Decision Sciences, having authored 28 papers that have together received 161 indexed citations. Recurring topics across this work include Speech and dialogue systems (10 papers), Natural Language Processing Techniques (9 papers) and Topic Modeling (6 papers). The work is most often cited by research in Health Informatics (11 citations), Experimental and Cognitive Psychology (40 citations) and Artificial Intelligence (88 citations). Sean Trott has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include Benjamin K. Bergen, Victor S. Ferreira, Marta Kutas, Adam Janin, Federico Rossano, Katherine A. DeLong, Philip E. Tetlock, Pamela D. Rivière, Manfred Eppe and Philipp Schoenegger. Their work appears in journals such as Psychological Review, Cognition and Cognitive Science.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026