Scott E. Umbaugh

57 papers receiving 1.5k citations

Peers

Scott E. Umbaugh
Comparison fields: 5 of 132
  • Computer Vision and Pattern Recognition 661
  • Media Technology 189
  • Biophysics 111
  • Oncology 449
  • Equine 20
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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 23 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 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Computer Vision and Image Processing: A Practical Approach Using CVIPTools
1997216
2
Computer Imaging: Digital Image Analysis and Processing
2005196
3 1996157
4
Digital image processing and analysis : human and computer vision applications with CVIPtools
2011111
5 2010103
6 200783
7 199376
8 198975
9
Computer Vision and Image Processing: A Practical Approach Using Cviptools with Cdrom
199769
10 199255
11 201052
12 199746
13 200942
14 199141
15 201437
16 199532
17 199524
18 199322
19
Digital Image Processing and Analysis: Applications with MATLAB and CVIPtools
201720
20
Computer vision in medicine: color metrics and image segmentation methods for skin cancer diagnosis
199017

About Scott E. Umbaugh

Scott E. Umbaugh is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Small Animals and Biomedical Engineering, having authored 64 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (17 papers), Infrared Thermography in Medicine (9 papers), Veterinary Orthopedics and Neurology (5 papers), melanin and skin pigmentation (4 papers), Thermography and Photoacoustic Techniques (4 papers), Industrial Vision Systems and Defect Detection (4 papers), Image Enhancement Techniques (3 papers) and Brain Tumor Detection and Classification (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (661 citations), Media Technology (189 citations), Biophysics (111 citations), Oncology (449 citations) and Equine (20 citations). Scott E. Umbaugh has collaborated with scholars based in United States, Italy and Brazil. Frequent co-authors include William V. Stoecker, Randy H. Moss, Catherine A. Loughin, Dominic J. Marino, Yue Cheng, Martin Lesser, Meredith Akerman, Fikret Erçal, Ashfaq A. Marghoob and Giuseppe Argenziano. Their work appears in journals such as Skin Research and Technology, Veterinary Surgery, Computer Applications in Engineering Education, BMC Veterinary Research and Computerized Medical Imaging and Graphics.

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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