Scott E. Umbaugh

55 papers receiving 1.3k citations

Peers

Scott E. Umbaugh
Comparison fields: 5 of 133
  • Computer Vision and Pattern Recognition 582
  • Equine 35
  • Media Technology 179
  • Biophysics 116
  • Oncology 423
Replace Bogdan J. Matuszewski with:
Bogdan J. Matuszewski United Kingdom
Şaban Öztürk Türkiye
Alfredo Paolillo Italy
Romuere Silva Brazil
Qiaokang Liang China
Étienne Decencière France
Yi Zheng United States
Hamid Reza Pourreza Iran
Sen Li China
Md Mamunur Rahaman China
Scott E. Umbaugh relative to Bogdan J. Matuszewski United Kingdom Bogdan J. Matuszewski's profile →
Citations per field
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Bogdan J. Matuszewski · 1×
Citations per year

Countries citing papers authored by Scott E. Umbaugh

Since Specialization
Citations

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

Fields of papers citing papers by Scott E. Umbaugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Computer Vision and Image Processing: A Practical Approach Using CVIPTools
1997192
2
Computer Imaging: Digital Image Analysis and Processing
2005161
3 1996148
4
Digital image processing and analysis : human and computer vision applications with CVIPtools
2011101
5 201087
6 200775
7 199372
8 198971
9 199251
10
Computer Vision and Image Processing: A Practical Approach Using Cviptools with Cdrom
199749
11 201047
12 199739
13 199136
14 200935
15 201435
16 199527
17 199522
18 199322
19
Digital Image Processing and Analysis: Applications with MATLAB and CVIPtools
201719
20
Computer vision in medicine: color metrics and image segmentation methods for skin cancer diagnosis
199016

About Scott E. Umbaugh

Scott E. Umbaugh is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cell Biology and Small Animals, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (17 papers), Infrared Thermography in Medicine (10 papers), melanin and skin pigmentation (6 papers), Veterinary Orthopedics and Neurology (5 papers), Industrial Vision Systems and Defect Detection (4 papers), Thermography and Photoacoustic Techniques (4 papers), AI in cancer detection (4 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (582 citations), Equine (35 citations), Media Technology (179 citations), Biophysics (116 citations) and Oncology (423 citations). Scott E. Umbaugh has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include William V. Stoecker, Randy H. Moss, Dominic J. Marino, Catherine A. Loughin, Yue Cheng, Martin Lesser, Fikret Erçal, Meredith Akerman, Ashfaq A. Marghoob and Giuseppe Argenziano. Their work appears in journals such as Skin Research and Technology, Veterinary Surgery, BMC Veterinary Research, Computer Applications in Engineering Education and Neoplasia.

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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