Karl F. MacDorman

9.2k citations
91 papers · 6.1k indexed · 1 hit paper · h-index 32

Karl F. MacDorman

88 papers receiving 5.7k citations

Hit Papers

The Uncanny Valley [From the Field]1.9k201220262016202150010001.5k

Peers

Karl F. MacDorman
Comparison fields: 5 of 157
  • Human-Computer Interaction 1.2k
  • Social Psychology 3.0k
  • Cognitive Neuroscience 2.0k
  • Experimental and Cognitive Psychology 925
  • Artificial Intelligence 1.7k
Replace Christoph Bartneck with:
Christoph Bartneck New Zealand
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Karl F. MacDorman relative to Christoph Bartneck New Zealand Christoph Bartneck's profile →
Citations per field
00.5×1.5×
Christoph Bartneck · 1×
Citations per year

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

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20244
3 20242
4 20237
5 20236
6 202310
7 202126
8
Reducing consistency in human realism increases the uncanny valley effect; increasing category uncertainty does not
20162
9
Too real for comfort? Uncanny responses to computer generated faces
20141
10 201332
11 201220
12 201121
13 2011108
14
Mega-Collaboration: The inspiration and development of an interface for large-scale disaster response.
20094
15
Symbol Grounding: Special issue of
20071
16 200617
17 200566
18
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)
20050
19
Extending the Medium Hypothesis: The Dennett-Mangan Controversy and Beyond
20044
20 19947

About Karl F. MacDorman

Karl F. MacDorman is a scholar working on Human-Computer Interaction, Social Psychology and Cognitive Neuroscience, having authored 91 papers that have together received 6.1k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (17 papers), Face Recognition and Perception (11 papers), Evolutionary Psychology and Human Behavior (10 papers), Human Pose and Action Recognition (9 papers), Robot Manipulation and Learning (8 papers), Psychology of Moral and Emotional Judgment (8 papers), Death Anxiety and Social Exclusion (7 papers) and Aesthetic Perception and Analysis (6 papers). The work is most often cited by research in Human-Computer Interaction (1.2k citations), Social Psychology (3.0k citations) and Cognitive Neuroscience (2.0k citations). Karl F. MacDorman has collaborated with scholars based in United States, Japan and United Kingdom. Frequent 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. Their work appears in journals such as Computers in Human Behavior, Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems, Neurocomputing, International Journal of Human-Computer Interaction and Journal of Vision.

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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