Karl F. MacDorman

9.2k total citations · 1 hit paper
91 papers, 6.1k citations indexed

About

Karl F. MacDorman is a scholar working on Social Psychology, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Karl F. MacDorman has authored 91 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Social Psychology, 28 papers in Cognitive Neuroscience and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Karl F. MacDorman's work include Social Robot Interaction and HRI (17 papers), Face Recognition and Perception (11 papers) and Evolutionary Psychology and Human Behavior (10 papers). Karl F. MacDorman is often cited by papers focused on Social Robot Interaction and HRI (17 papers), Face Recognition and Perception (11 papers) and Evolutionary Psychology and Human Behavior (10 papers). Karl F. MacDorman collaborates with scholars based in United States, Japan and United Kingdom. Karl F. MacDorman's co-authors include Chin-Chang Ho, Hiroshi Ishiguro, Robert Green, Debaleena Chattopadhyay, Minoru Asada, Yasuo Kuniyoshi, M. K. Bhuyan, Himalaya Patel, Stephen J. Cowley and Zacharias Aloysius Dwi Pramono and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Computers in Human Behavior.

In The Last Decade

Karl F. MacDorman

88 papers receiving 5.7k citations

Hit Papers

align trajectories

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.

The Uncanny Valley [From the Field]

2012 1.9k citations Karl F. MacDorman et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karl F. MacDorman United States	32	3.0k	2.0k	1.7k	1.2k	925	91	6.1k
Christoph Bartneck New Zealand	41	4.8k 1.6×	1.7k 0.8×	3.1k 1.9×	1.0k 0.8×	623 0.7×	167	7.6k
Jonathan Gratch United States	42	3.3k 1.1×	1.0k 0.5×	3.0k 1.8×	814 0.7×	1.7k 1.9×	298	7.5k
Ana Paiva Portugal	38	3.4k 1.1×	858 0.4×	2.6k 1.6×	768 0.6×	807 0.9×	305	5.9k
Stacy Marsella United States	39	2.2k 0.7×	860 0.4×	2.5k 1.5×	547 0.4×	1.3k 1.4×	189	6.1k
Bilge Mutlu United States	49	3.9k 1.3×	1.2k 0.6×	2.3k 1.3×	1.9k 1.5×	430 0.5×	206	6.9k
Elisabeth André Germany	41	2.3k 0.8×	1.7k 0.8×	2.9k 1.7×	1.4k 1.1×	2.8k 3.1×	432	8.2k
Matthias Scheutz United States	37	1.8k 0.6×	1.2k 0.6×	2.4k 1.4×	378 0.3×	411 0.4×	302	5.0k
Justine Cassell United States	41	2.5k 0.8×	569 0.3×	2.8k 1.6×	1.4k 1.2×	890 1.0×	124	6.8k
J. Gregory Trafton United States	37	1.9k 0.6×	1.2k 0.6×	1.1k 0.6×	701 0.6×	1.0k 1.1×	177	4.9k
Stefan Kopp Germany	32	1.6k 0.5×	734 0.4×	1.5k 0.9×	761 0.6×	878 0.9×	263	4.6k

Countries citing papers authored by Karl F. MacDorman

Since Specialization

Citations

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

Fields of papers citing papers by Karl F. MacDorman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karl F. MacDorman. 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 Karl F. MacDorman. The network helps show where Karl F. MacDorman may publish in the future.

Co-authorship network of co-authors of Karl F. MacDorman

This figure shows the co-authorship network connecting the top 25 collaborators of Karl F. MacDorman. A scholar is included among the top collaborators of Karl F. MacDorman 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 Karl F. MacDorman. Karl F. MacDorman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Teufel, Martin, et al.. (2025). Eerie edibles: Realism and food neophobia predict an uncanny valley in AI-generated food images. Appetite. 208. 107926–107926. 2 indexed citations

MacDorman, Karl F., et al.. (2024). Human performance in detecting deepfakes: A systematic review and meta-analysis of 56 papers. Computers in Human Behavior Reports. 16. 100538–100538. 4 indexed citations

Dutta, Haimonti, M. K. Bhuyan, Debanga Raj Neog, Karl F. MacDorman, & Rabul Hussain Laskar. (2023). A Hand Gesture-Operated System for Rehabilitation Using an End-to-End Detection Framework. IEEE Transactions on Artificial Intelligence. 5(2). 698–708. 7 indexed citations

Dutta, Haimonti, M. K. Bhuyan, Debanga Raj Neog, Karl F. MacDorman, & Rabul Hussain Laskar. (2023). Patient Assistance System Based on Hand Gesture Recognition. IEEE Transactions on Instrumentation and Measurement. 72. 1–13. 10 indexed citations

Dutta, Haimonti, M. K. Bhuyan, Debanga Raj Neog, Karl F. MacDorman, & Rabul Hussain Laskar. (2023). Efficient hand segmentation for rehabilitation tasks using a convolution neural network with attention. Expert Systems with Applications. 234. 121046–121046. 6 indexed citations

MacDorman, Karl F., et al.. (2018). The doctor’s digital double: how warmth, competence, and animation promote adherence intention. PeerJ Computer Science. 4. e168–e168. 18 indexed citations

MacDorman, Karl F. & Debaleena Chattopadhyay. (2016). Reducing consistency in human realism increases the uncanny valley effect; increasing category uncertainty does not. Publisher. 2 indexed citations

MacDorman, Karl F. & Debaleena Chattopadhyay. (2015). Reducing consistency in human realism increases the uncanny valley effect; increasing category uncertainty does not. Cognition. 146. 190–205. 163 indexed citations

MacDorman, Karl F., et al.. (2014). Too real for comfort? Uncanny responses to computer generated faces. Europe PMC (PubMed Central). 1 indexed citations

10.

Bhuyan, M. K., et al.. (2014). A novel set of features for continuous hand gesture recognition. Journal on Multimodal User Interfaces. 8(4). 333–343. 53 indexed citations

11.

Huang, Hui, Xiaogang Wu, Ragini Pandey, et al.. (2012). PAGED: a pathway and gene-set enrichment database to enable molecular phenotype discoveries. BMC Bioinformatics. 13(S15). S2–S2. 20 indexed citations

12.

MacDorman, Karl F., et al.. (2011). An Improved Usability Measure Based on Novice and Expert Performance. International Journal of Human-Computer Interaction. 27(3). 280–302. 21 indexed citations

13.

Pfaff, Mark S., et al.. (2009). Mega-Collaboration: The inspiration and development of an interface for large-scale disaster response.. International Conference on Information Systems for Crisis Response and Management. 4 indexed citations

14.

Belpaeme, Tony, Stephen J. Cowley, & Karl F. MacDorman. (2007). Symbol Grounding: Special issue of. Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems. 8(1). 1 indexed citations

15.

Cowley, Stephen J. & Karl F. MacDorman. (2006). What baboons, babies and Tetris players tell us about interaction: a biosocial view of norm-based social learning. Connection Science. 18(4). 363–378. 17 indexed citations

16.

MacDorman, Karl F. & Hiroshi Ishiguro. (2006). Reply to commentaries on "The uncanny advantage of using androids in social and cognitive science research". 27 indexed citations

17.

MacDorman, Karl F., et al.. (2005). 2A1-N-039 人間及びアンドロイドに対する反応の比較によるアンドロイドの人間らしさの評価(認知ロボティクス1,生活を支援するロボメカ技術のメガインテグレーション). 2005. 142.

18.

Cowley, Stephen J., Hiroshi Ishiguro, Shoji Itakura, et al.. (2005). Assessing Human Likeness by Eye Contact in an Android Testbed. Proceedings of the Annual Meeting of the Cognitive Science Society. 27(27). 44–6. 66 indexed citations

19.

MacDorman, Karl F.. (2004). Extending the Medium Hypothesis: The Dennett-Mangan Controversy and Beyond. The Journal of mind and behavior. 25(3). 237–258. 4 indexed citations

20.

MacDorman, Karl F., et al.. (1994). An account of consciousness in physical and functional terms: A target for research in the neurosciences. Integrative Psychological and Behavioral Science. 29(2). 151–181. 7 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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