Leon D. Harmon

2.9k citations
30 papers · 1.9k · h-index 17

Impact in

    • Face and Expression Recognition
    • Face recognition and analysis
    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques
    • Visual perception and processing mechanisms
    • Neural dynamics and brain function
    • Face Recognition and Perception
    • Tactile and Sensory Interactions

Papers in

Leon D. Harmon

28 papers receiving 1.6k citations

Peers

Leon D. Harmon
Comparison fields: 5 of 128
  • Computer Vision and Pattern Recognition 839
  • Cognitive Neuroscience 763
  • Media Technology 127
  • Signal Processing 134
  • Computer Graphics and Computer-Aided Design 35
Replace J. E. W. Mayhew with:
J. E. W. Mayhew United Kingdom
Thomas V. Papathomas United States
Matthias Franz Germany
J.P. Jones United States
Yehezkel Yeshurun Israel
Heiko Neumann Germany
H. K. Nishihara Japan
Zygmunt Pizlo United States
W. von Seelen Germany
Derek H. Fender United States
Leon D. Harmon relative to J. E. W. Mayhew United Kingdom J. E. W. Mayhew's profile →
Citations per field
00.5×1.5×2.4×
J. E. W. Mayhew · 1×
Citations per year

Countries citing papers authored by Leon D. Harmon

Since Specialization
Citations

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

Fields of papers citing papers by Leon D. Harmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leon D. Harmon. 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 Leon D. Harmon. The network helps show where Leon D. Harmon may publish in the future.

Co-authors

The 12 scholars most cited alongside Leon D. Harmon, 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 Leon D. Harmon Line = papers co-authored together Leon D. Harmon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973265
2 1973247
3 1982218
4 1969205
5 1971159
6 1961105
7 1981105
8 197281
9 196471
10 196569
11 197760
12 197841
13 196139
14 197230
15 200330
16 195930
17 197228
18 196215
19 198410
20 19609

About Leon D. Harmon

Leon D. Harmon is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering and Biomedical Engineering, having authored 30 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (8 papers), Face and Expression Recognition (5 papers), Neural Networks and Applications (4 papers), Visual perception and processing mechanisms (4 papers), Face recognition and analysis (4 papers), Color Science and Applications (3 papers), Tactile and Sensory Interactions (3 papers) and Biometric Identification and Security (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (839 citations), Cognitive Neuroscience (763 citations), Media Technology (127 citations), Signal Processing (134 citations) and Computer Graphics and Computer-Aided Design (35 citations). Leon D. Harmon has collaborated with scholars based in United States and Japan. Frequent co-authors include Béla Julesz, Kenneth C. Knowlton, A. J. Goldstein, Muhammad Khurram Khan, John Z. Levinson, John M. Epley, Lawrence S. Frishkopf, F. Blair Simmons, Newman Guttman and Eberhard Zwicker. Their work appears in journals such as Science, The International Journal of Robotics Research, Pattern Recognition, IEEE Transactions on Biomedical Engineering and Proceedings of the IEEE.

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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