E.S. McVey

677 citations
67 papers · 475 · h-index 11

Impact in

Papers in

E.S. McVey

56 papers receiving 444 citations

Peers

E.S. McVey
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 218
  • Media Technology 63
  • Aerospace Engineering 133
  • Artificial Intelligence 122
  • Computer Networks and Communications 69
Replace Shigemi Nagata with:
Shigemi Nagata Japan
Hengzhu Liu China
Keisuke Kameyama Japan
Dong-Hoan Seo South Korea
J.S. Beis Canada
A. M. Sapkal India
Afşar Saranlı Türkiye
Weizhi Lu China
Chunwei Song China
E.S. McVey relative to Shigemi Nagata Japan Shigemi Nagata's profile →
Citations per field
00.5×5.3×
Shigemi Nagata · 1×
Citations per year

Countries citing papers authored by E.S. McVey

Since Specialization
Citations

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

Fields of papers citing papers by E.S. McVey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E.S. McVey. 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 E.S. McVey. The network helps show where E.S. McVey may publish in the future.

Co-authors

The 17 scholars most cited alongside E.S. McVey, 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 E.S. McVey Line = papers co-authored together E.S. McVey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199166
2 198252
3 198238
4 196737
5 198436
6 199324
7 196922
8 198520
9 199213
10 199212
11 198711
12 199010
13 196110
14 19708
15 19888
16 20027
17 19796
18 19676
19 19896
20 19905

About E.S. McVey

E.S. McVey is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Media Technology and Artificial Intelligence, having authored 67 papers that have together received 475 indexed citations. Recurring topics across this work include Image Processing Techniques and Applications (12 papers), CCD and CMOS Imaging Sensors (10 papers), Image and Object Detection Techniques (9 papers), Infrared Target Detection Methodologies (8 papers), Neural Networks and Applications (8 papers), Sensor Technology and Measurement Systems (8 papers), Optical measurement and interference techniques (5 papers) and Advanced Measurement and Detection Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (218 citations), Media Technology (63 citations), Aerospace Engineering (133 citations), Artificial Intelligence (122 citations) and Computer Networks and Communications (69 citations). E.S. McVey has collaborated with scholars based in United States. Frequent co-authors include R.M. Iñigo, Kenneth J. Hintz, Robert J. Schalkoff, Jong W. Lee, Mansur R. Kabuka, R. M. Bowman, R. Sridhar, J. E. Gibson, Gerald Cook and Z. Rekasius. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Knowledge and Data Engineering.

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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