Tomer Ullman

2.7k citations
60 papers · 1.1k · h-index 15

Impact in

Papers in

Tomer Ullman

50 papers receiving 1.0k citations

Peers

Tomer Ullman
Comparison fields: 5 of 98
  • Developmental and Educational Psychology 488
  • General Decision Sciences 72
  • Cognitive Neuroscience 343
  • Social Psychology 259
  • Cultural Studies 91
Replace Chris L. Baker with:
Chris L. Baker United States
Karsten Olsen United Kingdom
Stephanie Denison Canada
Moreno I. Coco United Kingdom
Julian Jara‐Ettinger United States
Emmanuel Chemla France
Daphna Buchsbaum United States
Robert L. Goldstone United States
J. David Smith United States
John Paul Minda Canada
Tomer Ullman relative to Chris L. Baker United States Chris L. Baker's profile →
Citations per field
00.5×1.7×
Chris L. Baker · 1×
Citations per year

Countries citing papers authored by Tomer Ullman

Since Specialization
Citations

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

Fields of papers citing papers by Tomer Ullman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tomer Ullman, 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 Tomer Ullman Line = papers co-authored together Tomer Ullman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017133
2 2013129
3 2017124
4 2011116
5
Help or Hinder: Bayesian Models of Social Goal Inference
200991
6 201258
7 201654
8 202345
9 202044
10 201835
11
Modeling Expectation Violation in Intuitive Physics with Coarse Probabilistic Object Representations
201927
12 201822
13
Theory Acquisition as Stochastic Search
201017
14 201917
15 202115
16 202112
17 201910
18 20229
19 20238
20
Learning a Theory of Causality
20098

About Tomer Ullman

Tomer Ullman is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Cognitive Neuroscience, Sociology and Political Science and Social Psychology, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Child and Animal Learning Development (24 papers), Psychology of Moral and Emotional Judgment (11 papers), Language and cultural evolution (7 papers), Decision-Making and Behavioral Economics (7 papers), Evolutionary Algorithms and Applications (6 papers), Action Observation and Synchronization (5 papers), Bayesian Modeling and Causal Inference (5 papers) and Cognitive Science and Mapping (5 papers). The work is most often cited by research in Developmental and Educational Psychology (488 citations), General Decision Sciences (72 citations), Cognitive Neuroscience (343 citations), Social Psychology (259 citations) and Cultural Studies (91 citations). Tomer Ullman has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Joshua B. Tenenbaum, Noah D. Goodman, Elizabeth S. Spelke, Chris Baker, Shari Liu, Josh Tenenbaum, Peter Battaglia, J. Kiley Hamlin, Owain Evans and Michael B. Chang. Their work appears in journals such as Cognitive Science, Cognition, Open Mind, PLoS ONE and 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.

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