Michael C. King

83 papers receiving 1.3k citations

Peers

Michael C. King
Comparison fields: 5 of 147
  • Cognitive Neuroscience 277
  • Computer Vision and Pattern Recognition 271
  • Experimental and Cognitive Psychology 167
  • Signal Processing 118
  • Health 82
Replace Reinoud D. Stoel with:
Reinoud D. Stoel Netherlands
David B. Mumford United Kingdom
David Kahn United States
Gabriella M. Harari United States
James E. West United States
Robert J. Grissom United States
Dale J. Cohen United States
Alistair Morrison United Kingdom
Timothy R. Brick United States
Arthur Lerner United States
Michael C. King relative to Reinoud D. Stoel Netherlands Reinoud D. Stoel's profile →
Citations per field
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Reinoud D. Stoel · 1×
Citations per year

Countries citing papers authored by Michael C. King

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. King. 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 Michael C. King. The network helps show where Michael C. King may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989135
2 201685
3 198083
4 202079
5 198374
6
How the law thinks about children
199572
7 199868
8 199467
9 200762
10 197762
11 202131
12 201731
13 201930
14 201829
15 199428
16 200725
17 202322
18
Maori: A Photographic and Social History
198421
19 197721
20 202020

About Michael C. King

Michael C. King is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Cognitive Neuroscience and Aerospace Engineering, having authored 92 papers that have together received 1.4k indexed citations. Recurring topics across this work include Face recognition and analysis (19 papers), Biometric Identification and Security (12 papers), Icing and De-icing Technologies (10 papers), Face Recognition and Perception (8 papers), Smart Materials for Construction (7 papers), Cryospheric studies and observations (6 papers), Face and Expression Recognition (6 papers) and Authorship Attribution and Profiling (5 papers). The work is most often cited by research in Cognitive Neuroscience (277 citations), Computer Vision and Pattern Recognition (271 citations), Experimental and Cognitive Psychology (167 citations), Signal Processing (118 citations) and Health (82 citations). Michael C. King has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Gregory R. Lockhead, Kevin W. Bowyer, Christine Piper, Vítor Albiero, J. E. R. Staddon, Anne Marie Mahoney, J. Thomas Dalby, Peter Speck, Elizabeth L Sampson and Karl Ricanek. Their work appears in journals such as Journal of Experimental Psychology Human Perception & Performance, SAE technical papers on CD-ROM/SAE technical paper series, Canadian Psychology/Psychologie canadienne, Behaviour Research and Therapy and Memory & Cognition.

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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