Daniel Ullman

2.0k citations
35 papers · 1.5k · h-index 22

Impact in

Papers in

    • Social Robot Interaction and HRI 13
    • Human-Automation Interaction and Safety 8
    • Death Anxiety and Social Exclusion 3
    • Ethics and Social Impacts of AI 9

Daniel Ullman

35 papers receiving 1.4k citations

Peers

Daniel Ullman
Comparison fields: 5 of 79
  • Social Psychology 796
  • Safety Research 245
  • Human-Computer Interaction 148
  • Clinical Psychology 318
  • Health Informatics 20
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Samuel Mascarenhas Portugal
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Susana Zoghbi Belgium
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Paul Panek United States
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Citations per year

Countries citing papers authored by Daniel Ullman

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Ullman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018170
2 2020152
3 2007110
4 2018104
5 201586
6 201885
7 200976
8 201970
9 201869
10 201563
11 201145
12 201741
13 201239
14 201737
15 202036
16 201535
17 200833
18 201330
19
Smart Human, Smarter Robot: How Cheating Affects Perceptions of Social Agency
201428
20 201725

About Daniel Ullman

Daniel Ullman is a scholar working on Social Psychology, Safety Research, Clinical Psychology, Sociology and Political Science and Cognitive Neuroscience, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (13 papers), Ethics and Social Impacts of AI (9 papers), Human-Automation Interaction and Safety (8 papers), Psychopathy, Forensic Psychiatry, Sexual Offending (6 papers), Criminal Justice and Corrections Analysis (5 papers), Psychology of Moral and Emotional Judgment (4 papers), Face Recognition and Perception (4 papers) and Death Anxiety and Social Exclusion (3 papers). The work is most often cited by research in Social Psychology (796 citations), Safety Research (245 citations), Human-Computer Interaction (148 citations), Clinical Psychology (318 citations) and Health Informatics (20 citations). Daniel Ullman has collaborated with scholars based in United States and Canada. Frequent co-authors include Bertram F. Malle, Elizabeth Phillips, Jodi L. Viljoen, Mario J. Scalora, Brian Scassellati, Xuan Zhao, Iolanda Leite, Stefanie Tellex, Natasha Elkovitch and Marissa McCoy. Their work appears in journals such as Sexual Abuse, Criminal Justice and Behavior, Cognitive Science, Behavioral Sciences & the Law and ACM Transactions on Interactive Intelligent Systems.

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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