John N. Carter

71 papers receiving 2.7k citations

Hit Papers

Prolactin-Secreting Tumors and Hypogonadism in 22 Men19782026199420101978100200300

Peers

John N. Carter
Comparison fields: 5 of 168
  • Computer Vision and Pattern Recognition 1.7k
  • Biomedical Engineering 1.3k
  • Signal Processing 462
  • Endocrinology, Diabetes and Metabolism 427
  • Human-Computer Interaction 370
Replace Marcin Grzegorzek with:
Marcin Grzegorzek Germany
Moi Hoon Yap United Kingdom
Reza Boostani Iran
S. Vinitha Sree Singapore
Pau‐Choo Chung Taiwan
U. Raghavendra India
Jean Meunier Canada
Yutaka Hata Japan
Hongwen Zhang China
John N. Carter relative to Marcin Grzegorzek Germany Marcin Grzegorzek's profile →
Citations per field
00.5×9.1×
Marcin Grzegorzek · 1×
Citations per year

Countries citing papers authored by John N. Carter

Since Specialization
Citations

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

Fields of papers citing papers by John N. Carter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John N. Carter. 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 John N. Carter. The network helps show where John N. Carter may publish in the future.

Co-authorship network of co-authors of John N. Carter

This figure shows the co-authorship network connecting the top 25 collaborators of John N. Carter. A scholar is included among the top collaborators of John N. Carter 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 John N. Carter. John N. Carter 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
#WorkIndexed citations
1 15
2 10
3 4
4 55
5 43
6 166
7 1
8 11
9 172
10 4
11 106
12
Viewpoint invariance in automatic gait recognition
8
13
Biologically-inspired human motion detection
1
14
Automated Markerless Analysis of Human Walking and Running by Computer Vision
7
15 11
16
Automatic Gait Recognition via the Generalised Symmetry Operator
1
17
Extracting a Human Gait Model for use as a Biometric
4
18 9
19 26
20 6

About John N. Carter

John N. Carter is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 73 papers that have together received 2.9k indexed citations. Recurring topics across this work include Gait Recognition and Analysis (27 papers), Human Pose and Action Recognition (21 papers) and Video Surveillance and Tracking Methods (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Human-Computer Interaction (370 citations) and Signal Processing (462 citations). John N. Carter has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Mark Nixon, Imed Bouchrika, David J. Hurley, Michela Goffredo, Charles Faiman, John E. Tyson, Henry G. Friesen, Sasan Mahmoodi, Kate Steinbeck and Jeffrey Borer. Their work appears in journals such as New England Journal of Medicine, Circulation and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026