John E. Adcock

1.2k citations
38 papers · 884 · h-index 16

Impact in

Papers in

John E. Adcock

38 papers receiving 808 citations

Peers

John E. Adcock
Comparison fields: 5 of 68
  • Signal Processing 453
  • Computer Vision and Pattern Recognition 328
  • Computational Mechanics 145
  • Artificial Intelligence 171
  • Oceanography 58
Replace Alessio Brutti with:
Alessio Brutti Italy
Flavio P. Ribeiro Brazil
Iván Meza Mexico
Chanwoo Kim United States
J.N. Gowdy United States
Dimitrios Dimitriadis United States
Thomas W. Parsons United Kingdom
Soundararajan Srinivasan United States
Jürgen T. Geiger Germany
Nobuhiko Kitawaki Japan
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Citations per field
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Citations per year

Countries citing papers authored by John E. Adcock

Since Specialization
Citations

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

Fields of papers citing papers by John E. Adcock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997223
2 199580
3 201056
4 201248
5 200242
6 200441
7 200235
8
Simplifying the Management of Large Photo Collections.
200333
9 199631
10
FXPAL Experiments for TRECVID 2004
200428
11 200526
12 200724
13 199623
14 200823
15
FXPAL Interactive Search Experiments for TRECVID 2007
200821
16 200216
17 201013
18 200812
19 199112
20 200211

About John E. Adcock

John E. Adcock is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computational Mechanics, Sociology and Political Science and Artificial Intelligence, having authored 38 papers that have together received 884 indexed citations. Recurring topics across this work include Video Analysis and Summarization (20 papers), Advanced Image and Video Retrieval Techniques (16 papers), Image Retrieval and Classification Techniques (11 papers), Speech and Audio Processing (9 papers), Multimedia Communication and Technology (7 papers), Music and Audio Processing (6 papers), Advanced Adaptive Filtering Techniques (5 papers) and Indoor and Outdoor Localization Technologies (4 papers). The work is most often cited by research in Signal Processing (453 citations), Computer Vision and Pattern Recognition (328 citations), Computational Mechanics (145 citations), Artificial Intelligence (171 citations) and Oceanography (58 citations). John E. Adcock has collaborated with scholars based in United States. Frequent co-authors include M.S. Brandstein, H.F. Silverman, Matthew L. Cooper, Andreas Girgensohn, Lynn D. Wilcox, Harvey F. Silverman, Francine Chen, Laurent Denoue, Don Kimber and Lawrence A. Rowe. Their work appears in journals such as Artificial Intelligence, The Journal of the Acoustical Society of America, Computer Speech & Language, Education and Information Technologies and IEEE Transactions on Speech and Audio Processing.

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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