Kevin W. Bowyer

58.6k citations
385 papers · 36.0k indexed · 8 hit papers · h-index 61

Kevin W. Bowyer

370 papers receiving 34.1k citations

Hit Papers

SMOTE: Synthetic Minority Over-sampling Technique1996202620062016200220052005200719975.0k10.0k15.0k

Peers

Kevin W. Bowyer
Comparison fields: 5 of 225
  • Computer Vision and Pattern Recognition 13.1k
  • Artificial Intelligence 12.9k
  • Signal Processing 7.4k
  • Information Systems 4.5k
  • Electrical and Electronic Engineering 2.1k
Replace Corinna Cortes with:
Corinna Cortes United States
Qiang Yang Hong Kong
Robert E. Schapire United States
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Citations per field
00.5×1.6×
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Citations per year

Countries citing papers authored by Kevin W. Bowyer

Since Specialization
Citations

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

Fields of papers citing papers by Kevin W. Bowyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin W. Bowyer. 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 Kevin W. Bowyer. The network helps show where Kevin W. Bowyer may publish in the future.

Co-authorship network of co-authors of Kevin W. Bowyer

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin W. Bowyer. A scholar is included among the top collaborators of Kevin W. Bowyer 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 Kevin W. Bowyer. Kevin W. Bowyer 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 5
2 10
3 12
4 18
5 7
6 26
7 37
8
Fusion of face and iris biometrics using a stand-off video sensor
3
9 15
10 73
11
Face recognition using 2D and 3D facial data
102
12
SMOTE: Synthetic Minority Over-sampling Techniquebreakdown →
19666
13
Bagging-like effects for decision trees and neural nets in protein secondary structure prediction
5
14
Pornography on the Dean's PC: An Ethics and Computing Case Study
2
15
Teaching Tip: Resources for Teaching Ethics and Computing
1
16
A Formal Framework for the Objective Evaluation of Edge Detectors
1
17
Advances in Image Understanding: A Festschrift for Azriel Rosenfeld
20
18 21
19
Three-dimensional shape representation
5
20 2

About Kevin W. Bowyer

Kevin W. Bowyer is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Safety Research, having authored 385 papers that have together received 36.0k indexed citations. Recurring topics across this work include Biometric Identification and Security (143 papers), Face recognition and analysis (112 papers) and Face and Expression Recognition (66 papers). The work is most often cited by research in Signal Processing (7.4k citations), Computer Vision and Pattern Recognition (13.1k citations) and Artificial Intelligence (12.9k citations). Kevin W. Bowyer has collaborated with scholars based in United States, Chile and India. Frequent co-authors include W. Philip Kegelmeyer, Lawrence Hall, Nitesh V. Chawla, Patrick J. Flynn, P. Jonathon Phillips, Sudeep Sarkar, Karen Hollingsworth, K. Woods, Michael D. Heath and Jaesik Min. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Scientific Reports.

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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