John M. Gauch

1.6k citations
55 papers · 1.1k · h-index 18

Impact in

Papers in

    • Medical Image Segmentation Techniques 15
    • Advanced Image and Video Retrieval Techniques 15
    • Image Retrieval and Classification Techniques 14
    • Video Analysis and Summarization 11
    • Advanced Vision and Imaging 7
    • Music and Audio Processing 6

John M. Gauch

51 papers receiving 1.0k citations

Peers

John M. Gauch
Comparison fields: 5 of 116
  • Computer Vision and Pattern Recognition 626
  • Computer Graphics and Computer-Aided Design 40
  • Media Technology 99
  • Signal Processing 101
  • Biophysics 38
Replace Walter G. Kropatsch with:
Walter G. Kropatsch Austria
Hongqing Zhu China
P. Kruizinga Netherlands
R. van den Boomgaard Netherlands
Goesta H. Granlund Sweden
Morium Akter Bangladesh
Bernice E. Rogowitz United States
Mukund Balasubramanian United States
Emmanouil Ζ. Psarakis Greece
Guang Deng Australia
John M. Gauch relative to Walter G. Kropatsch Austria Walter G. Kropatsch's profile →
Citations per field
00.5×3.8×
Walter G. Kropatsch · 1×
Citations per year

Countries citing papers authored by John M. Gauch

Since Specialization
Citations

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

Fields of papers citing papers by John M. Gauch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999217
2 2005138
3 199397
4 201457
5 199243
6 199339
7 200239
8 199636
9 200635
10 199333
11 199231
12 200530
13 201729
14 199926
15 199623
16 200322
17 199718
18 202318
19 200715
20 199412

About John M. Gauch

John M. Gauch is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Media Technology and Biophysics, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (15 papers), Advanced Image and Video Retrieval Techniques (15 papers), Image Retrieval and Classification Techniques (14 papers), Video Analysis and Summarization (11 papers), Advanced Vision and Imaging (7 papers), Music and Audio Processing (6 papers), Cell Image Analysis Techniques (5 papers) and Advanced Image Fusion Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (626 citations), Computer Graphics and Computer-Aided Design (40 citations), Media Technology (99 citations), Signal Processing (101 citations) and Biophysics (38 citations). John M. Gauch has collaborated with scholars based in United States. Frequent co-authors include Stephen M. Pizer, Susan Gauch, Homer Pien, Denise Gobert, George T. Timberlake, Manoj Kumar Sharma, Joseph H. Maino, Kimon P. Valavanis, Wei Li and J. Shah. Their work appears in journals such as Information Processing & Management, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, Computer Vision and Image Understanding and Applied 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.

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