Scott E. Umbaugh

2.2k total citations
60 papers, 1.5k citations indexed

About

Scott E. Umbaugh is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Scott E. Umbaugh has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 13 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Scott E. Umbaugh's work include Cutaneous Melanoma Detection and Management (17 papers), Infrared Thermography in Medicine (10 papers) and melanin and skin pigmentation (6 papers). Scott E. Umbaugh is often cited by papers focused on Cutaneous Melanoma Detection and Management (17 papers), Infrared Thermography in Medicine (10 papers) and melanin and skin pigmentation (6 papers). Scott E. Umbaugh collaborates with scholars based in United States, Italy and Australia. Scott E. Umbaugh's co-authors include Randy H. Moss, William V. Stoecker, Dominic J. Marino, Catherine A. Loughin, Yue Cheng, Martin Lesser, Fikret Erçal, Meredith Akerman, Keong Kam and H. Peter Soyer and has published in prestigious journals such as Neoplasia, Computerized Medical Imaging and Graphics and Veterinary Surgery.

In The Last Decade

Scott E. Umbaugh

55 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Scott E. Umbaugh United States 19 582 423 394 214 201 60 1.5k
Alfredo Paolillo Italy 21 404 0.7× 256 0.6× 203 0.5× 172 0.8× 49 0.2× 79 1.2k
Qiaokang Liang China 23 291 0.5× 228 0.5× 336 0.9× 345 1.6× 114 0.6× 78 1.6k
Şaban Öztürk Türkiye 23 537 0.9× 185 0.4× 570 1.4× 140 0.7× 456 2.3× 63 1.6k
Yi Zheng United States 23 430 0.7× 78 0.2× 175 0.4× 411 1.9× 357 1.8× 126 1.9k
Syed Rameez Naqvi Pakistan 16 297 0.5× 91 0.2× 243 0.6× 80 0.4× 84 0.4× 57 979
Romuere Silva Brazil 19 591 1.0× 113 0.3× 526 1.3× 65 0.3× 399 2.0× 67 1.1k
Hamid Reza Pourreza Iran 21 980 1.7× 69 0.2× 237 0.6× 178 0.8× 790 3.9× 112 1.9k
Hong Song China 17 562 1.0× 98 0.2× 268 0.7× 315 1.5× 444 2.2× 182 1.4k
Étienne Decencière France 21 1.1k 1.9× 37 0.1× 313 0.8× 175 0.8× 1.6k 7.8× 65 2.5k
Sen Li China 22 335 0.6× 115 0.3× 165 0.4× 251 1.2× 84 0.4× 126 1.5k

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-authorship network of co-authors of Scott E. Umbaugh

This figure shows the co-authorship network connecting the top 25 collaborators of Scott E. Umbaugh. A scholar is included among the top collaborators of Scott E. Umbaugh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Scott E. Umbaugh. Scott E. Umbaugh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bersani, Francesca, Sandro Pasquali, Scott E. Umbaugh, et al.. (2025). Establishment of patient-derived 3D in vitro models of sarcomas: literature review and guidelines on behalf of the FORTRESS working group. Neoplasia. 65. 101171–101171. 1 indexed citations
6.
Umbaugh, Scott E., et al.. (2024). Land cover classification of satellite images using deep learning. 21–21. 1 indexed citations
8.
Loughin, Catherine A., et al.. (2020). Medical infrared thermal imaging of syringomyelia in the Cavalier King Charles Spaniel. BMC Veterinary Research. 16(1). 137–137. 2 indexed citations
9.
Loughin, Catherine A., et al.. (2017). Medical infrared imaging and orthostatic analysis to determine lameness in the pelvic limbs of dogs. Open Veterinary Journal. 7(4). 342–342. 12 indexed citations
10.
Umbaugh, Scott E.. (2011). Digital image processing and analysis : human and computer vision applications with CVIPtools. CERN Bulletin. 101 indexed citations
11.
Loughin, Catherine A., et al.. (2010). Thermal Imaging of Normal and Cranial Cruciate Ligament‐Deficient Stifles in Dogs. Veterinary Surgery. 39(4). 410–417. 47 indexed citations
12.
Umbaugh, Scott E., et al.. (2010). Frequency Domain Pseudo-color to Enhance Ultrasound Images. Computer and Information Science. 3(4). 14 indexed citations
13.
Kam, Keong, Xiaohe Chen, Randy H. Moss, et al.. (2009). Detection of atypical texture features in early malignant melanoma. Skin Research and Technology. 16(1). 60–65. 35 indexed citations
14.
Umbaugh, Scott E., et al.. (2007). Automatic differentiation of melanoma and clark nevus skin lesions. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6514. 65142V–65142V. 2 indexed citations
15.
Umbaugh, Scott E., et al.. (1997). Feature extraction in image analysis. A program for facilitating data reduction in medical image classification. IEEE Engineering in Medicine and Biology Magazine. 16(4). 62–73. 39 indexed citations
16.
Umbaugh, Scott E.. (1997). Computer Vision and Image Processing: A Practical Approach Using Cviptools with Cdrom. Prentice Hall PTR eBooks. 49 indexed citations
17.
Stoecker, William V., Randy H. Moss, Fikret Erçal, & Scott E. Umbaugh. (1995). Nondermatoscopic digital imaging of pigmented lesions. Skin Research and Technology. 1(1). 7–16. 22 indexed citations
18.
Umbaugh, Scott E., Randy H. Moss, & William V. Stoecker. (1992). An automatic color segmentation algorithm with application to identification of skin tumor borders. Computerized Medical Imaging and Graphics. 16(3). 227–235. 51 indexed citations
19.
Umbaugh, Scott E., Randy H. Moss, & William V. Stoecker. (1991). Applying artificial intelligence to the identification of variegated coloring in skin tumors. IEEE Engineering in Medicine and Biology Magazine. 10(4). 57–62. 36 indexed citations
20.
Umbaugh, Scott E., Randy H. Moss, & William V. Stoecker. (1989). Automatic color segmentation of images with application to detection of variegated coloring in skin tumors. IEEE Engineering in Medicine and Biology Magazine. 8(4). 43–50. 71 indexed citations

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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