Jonathan Gratch

16.8k total citations · 1 hit paper
298 papers, 7.5k citations indexed

About

Jonathan Gratch is a scholar working on Social Psychology, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Jonathan Gratch has authored 298 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Social Psychology, 108 papers in Artificial Intelligence and 79 papers in Sociology and Political Science. Recurrent topics in Jonathan Gratch's work include Social Robot Interaction and HRI (56 papers), Multi-Agent Systems and Negotiation (46 papers) and Emotions and Moral Behavior (30 papers). Jonathan Gratch is often cited by papers focused on Social Robot Interaction and HRI (56 papers), Multi-Agent Systems and Negotiation (46 papers) and Emotions and Moral Behavior (30 papers). Jonathan Gratch collaborates with scholars based in United States, Germany and United Kingdom. Jonathan Gratch's co-authors include Stacy Marsella, Gale Lucas, Louis–Philippe Morency, Stefan Scherer, Aisha King, Giota Stratou, Sin‐Hwa Kang, David Traum, Celso M. de Melo and Jeff Rickel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and PLoS ONE.

In The Last Decade

Jonathan Gratch

282 papers receiving 6.8k citations

Hit Papers

It’s only a computer: Virtual humans increase willingness... 2014 2026 2018 2022 2014 100 200 300 400 500
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. It’s only a computer: Virtual humans increase willingness to disclose
    2014 566 citations Gale Lucas, Jonathan Gratch et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Gratch United States 42 3.3k 3.0k 1.7k 1.2k 1.0k 298 7.5k
Stacy Marsella United States 39 2.2k 0.7× 2.5k 0.8× 1.3k 0.7× 800 0.7× 860 0.8× 189 6.1k
Ana Paiva Portugal 38 3.4k 1.0× 2.6k 0.9× 807 0.5× 805 0.7× 858 0.8× 305 5.9k
Timothy Bickmore United States 44 2.6k 0.8× 3.0k 1.0× 702 0.4× 867 0.7× 357 0.3× 208 7.9k
Christoph Bartneck New Zealand 41 4.8k 1.5× 3.1k 1.0× 623 0.4× 1.1k 0.9× 1.7k 1.6× 167 7.6k
Elisabeth André Germany 41 2.3k 0.7× 2.9k 1.0× 2.8k 1.6× 589 0.5× 1.7k 1.6× 432 8.2k
Karl F. MacDorman United States 32 3.0k 0.9× 1.7k 0.6× 925 0.5× 836 0.7× 2.0k 2.0× 91 6.1k
Rafael A. Calvo Australia 45 1.6k 0.5× 1.7k 0.6× 1.9k 1.1× 964 0.8× 1.4k 1.4× 252 8.7k
Mark A. Neerincx Netherlands 32 1.7k 0.5× 1.4k 0.5× 844 0.5× 307 0.3× 622 0.6× 243 4.4k
Justine Cassell United States 41 2.5k 0.8× 2.8k 0.9× 890 0.5× 976 0.8× 569 0.6× 124 6.8k
Sidney K. D’Mello United States 54 2.1k 0.6× 3.8k 1.2× 3.7k 2.2× 576 0.5× 3.0k 3.0× 287 11.9k

Countries citing papers authored by Jonathan Gratch

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Gratch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Gratch

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Gratch. A scholar is included among the top collaborators of Jonathan Gratch 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 Jonathan Gratch. Jonathan Gratch 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
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Andalibi, Nazanin, Luke Stark, Daniel McDuff, et al.. (2024). What should we do with Emotion AI? Towards an Agenda for the Next 30 Years. 98–101.
3.
Gratch, Jonathan, et al.. (2024). Integration of LLMs with Virtual Character Embodiment. 1–3. 1 indexed citations
4.
Gratch, Jonathan, et al.. (2024). Pitfalls of Embodiment in Human-Agent Experiment Design. 1–9.
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Kappas, Arvid & Jonathan Gratch. (2023). These Aren’t The Droids You Are Looking for: Promises and Challenges for the Intersection of Affective Science and Robotics/AI. Affective Science. 4(3). 580–585. 6 indexed citations
8.
Gratch, Jonathan, et al.. (2023). Social Functions of Machine Emotional Expressions. Proceedings of the IEEE. 111(10). 1382–1397. 13 indexed citations
9.
Gratch, Jonathan, et al.. (2023). Emotional Expressivity is a Reliable Signal of Surprise. IEEE Transactions on Affective Computing. 14(4). 2913–2924. 4 indexed citations
10.
Visser, Ewart J. de, Frank Krüeger, Elizabeth Phillips, et al.. (2022). Designing Man’s New Best Friend: Enhancing Human-Robot Dog Interaction through Dog-Like Framing and Appearance. Sensors. 22(3). 1287–1287. 8 indexed citations
11.
Hindriks, Koen V., et al.. (2019). Recognising and explaining bidding strategies in negotiation support systems. Research Repository (Delft University of Technology). 1 indexed citations
12.
Gratch, Jonathan, et al.. (2016). IAGO: Interactive Arbitration Guide Online (Demonstration). Adaptive Agents and Multi-Agents Systems. 1510–1512. 7 indexed citations
13.
Kim, Eunkyung, et al.. (2014). Effects of Moral Concerns on Negotiations. Cognitive Science. 36(36). 1 indexed citations
14.
Khooshabeh, Peter, et al.. (2013). Negotiation Strategies with Incongruent Facial Expressions of Emotion Cause Cardiovascular Threat. Cognitive Science. 35(35). 6 indexed citations
15.
Choi, Ahyoung, Celso P. de Melo, Woontack Woo, & Jonathan Gratch. (2012). Affective engagement to emotional facial expressions of embodied social agents in a decision‐making game. Computer Animation and Virtual Worlds. 23(3-4). 331–342. 13 indexed citations
16.
Kenny, Patrick, Thomas D. Parsons, Jonathan Gratch, & Albert Rizzo. (2008). Evaluation of Justina: A Virtual Patient with PTSD. Lecture notes in computer science. 36 indexed citations
17.
Traum, David, William Swartout, Jonathan Gratch, & Stacy Marsella. (2005). Virtual Humans for non-team interaction training. Adaptive Agents and Multi-Agents Systems. 11 indexed citations
18.
Hill, Randall W., et al.. (1997). Intelligent agents for the synthetic battlefield: a company of rotary wing aircraft. National Conference on Artificial Intelligence. 1006–1012. 36 indexed citations
19.
Gratch, Jonathan. (1996). Sequential inductive learning. National Conference on Artificial Intelligence. 779–786. 11 indexed citations
20.
Gratch, Jonathan, Steve Chien, & Gerald DeJong. (1994). Improving learning performance through rational resource allocation. National Conference on Artificial Intelligence. 576–581. 8 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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