William V. Stoecker

7.1k total citations
134 papers, 4.7k citations indexed

About

William V. Stoecker is a scholar working on Oncology, Artificial Intelligence and Epidemiology. According to data from OpenAlex, William V. Stoecker has authored 134 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Oncology, 42 papers in Artificial Intelligence and 37 papers in Epidemiology. Recurrent topics in William V. Stoecker's work include Cutaneous Melanoma Detection and Management (80 papers), AI in cancer detection (41 papers) and Nonmelanoma Skin Cancer Studies (24 papers). William V. Stoecker is often cited by papers focused on Cutaneous Melanoma Detection and Management (80 papers), AI in cancer detection (41 papers) and Nonmelanoma Skin Cancer Studies (24 papers). William V. Stoecker collaborates with scholars based in United States, Japan and Algeria. William V. Stoecker's co-authors include Randy H. Moss, M. Emre Celebi, Hitoshi Iyatomi, R. Joe Stanley, Scott E. Umbaugh, Y. Alp Aslandogan, Hassan A. Kingravi, Harold Rabinovitz, Gerald Schaefer and Joseph M. Malters and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging and Pattern Recognition.

In The Last Decade

William V. Stoecker

130 papers receiving 4.4k citations

Peers

Countries citing papers authored by William V. Stoecker

Since Specialization

Citations

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

Fields of papers citing papers by William V. Stoecker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William V. Stoecker. 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 William V. Stoecker. The network helps show where William V. Stoecker may publish in the future.

Co-authorship network of co-authors of William V. Stoecker

This figure shows the co-authorship network connecting the top 25 collaborators of William V. Stoecker. A scholar is included among the top collaborators of William V. Stoecker 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 William V. Stoecker. William V. Stoecker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Synergistic impact of antioxidant combinations on collagen and elastin synthesis in human dermal fibroblasts 2025 ·Bio-Medical Materials and Engineering ·(unknown), (unknown), (unknown), (unknown), (unknown), Prabir Patra, William V. Stoecker, (unknown), Nasim Nosoudi	0
2	Basal Cell Carcinoma Diagnosis with Fusion of Deep Learning and Telangiectasia Features 2024 ·Journal of Imaging Informatics in Medicine ·Akanksha Maurya, R. Joe Stanley, (unknown), (unknown), (unknown), (unknown), Daniyal Saeed, (unknown), Colin Smith, (unknown), Jason Hagerty, William V. Stoecker	4
3	SharpRazor: Automatic removal of hair and ruler marks from dermoscopy images 2023 ·Skin Research and Technology ·Reda Kasmi, Jason Hagerty, (unknown), (unknown), (unknown), (unknown), William V. Stoecker, R. Joe Stanley	8
4	ChimeraNet: U-Net for Hair Detection in Dermoscopic Skin Lesion Images 2022 ·Journal of Digital Imaging ·(unknown), Reda Kasmi, Jason Hagerty, R. Joe Stanley, (unknown), (unknown), (unknown), (unknown), William V. Stoecker	18
5	Optical Oxygen Sensor Patch Printed With Polystyrene Microparticles-Based Ink on Flexible Substrate 2021 ·IEEE Sensors Journal ·(unknown), Jason Hagerty, (unknown), Chang-Soo Kim, William V. Stoecker, Paul Nam	3
6	DeepCIN: Attention-Based Cervical histology Image Classification with Sequential Feature Modeling for Pathologist-Level Accuracy 2020 ·Journal of Pathology Informatics ·(unknown), R. Joe Stanley, William V. Stoecker, L. Rodney Long, Zhiyun Xue, Rosemary E. Zuna, Shellaine R. Frazier, Sameer Antani	15
7	Marijuana Use in the Era of Changing Cannabis Laws: What Are the Risks? Who is Most at Risk? 2018 ·Europe PMC (PubMed Central) ·William V. Stoecker, (unknown), Joseph M. Malters	4
8	Deep Learning Nuclei Detection in Digitized Histology Images by Superpixels 2018 ·Journal of Pathology Informatics ·(unknown), (unknown), William V. Stoecker, Haidar Almubarak, L. Rodney Long, Sameer Antani, George R. Thoma, Rosemary E. Zuna, (unknown)	78
9	Adaptable Ring for Vision-Based Measurements and Shape Analysis 2017 ·IEEE Transactions on Instrumentation and Measurement ·(unknown), Randy H. Moss, William V. Stoecker, Jason Hagerty, (unknown), Nabin K. Mishra, R. Joe Stanley	23
10	Thresholding methods for lesion segmentation of basal cell carcinoma in dermoscopy images 2016 ·Skin Research and Technology ·Ravneet Kaur, (unknown), Nabin K. Mishra, Jason Hagerty, Reda Kasmi, R. Joe Stanley, M. Emre Celebi, William V. Stoecker	14
11	Melanoma in situ in a private practice setting 2005 through 2009: Location, lesion size, lack of concern 2012 ·Journal of the American Academy of Dermatology ·(unknown), William V. Stoecker, Joseph M. Malters, Rhett J Drugge, Margaret Oliviero, Harold Rabinovitz, (unknown)	11
12	Automatic telangiectasia analysis in dermoscopy images using adaptive critic design 2011 ·Skin Research and Technology ·Bao‐Hui Cheng, R. Joe Stanley, William V. Stoecker, Kerry Hinton	19
13	Automatic detection of basal cell carcinoma using telangiectasia analysis in dermoscopy skin lesion images 2011 ·Skin Research and Technology ·Beibei Cheng, (unknown), R. Joe Stanley, William V. Stoecker, David Calcara, David Delgado‐Gómez	19
14	Modified watershed technique and post-processing for segmentation of skin lesions in dermoscopy images 2010 ·Computerized Medical Imaging and Graphics ·Hanzheng Wang, Randy H. Moss, Xiaohe Chen, R. Joe Stanley, William V. Stoecker, M. Emre Celebi, Joseph M. Malters, James M. Grichnik, Ashfaq A. Marghoob, Harold Rabinovitz, Scott W. Menzies, (unknown)	46
15	Semitranslucency in Dermoscopic Images of Basal Cell Carcinoma 2009 ·Archives of Dermatology ·William V. Stoecker, Isabel Kolm, Harold Rabinovitz, Margaret Oliviero, Jin Xu, Joseph M. Malters	8
16	Approximate lesion localization in dermoscopy images 2009 ·Skin Research and Technology ·M. Emre Celebi, Hitoshi Iyatomi, G. Bradley Schaefer, William V. Stoecker	18
17	Detection of Basal Cell Carcinoma Using Electrical Impedance and Neural Networks 2004 ·IEEE Transactions on Biomedical Engineering ·(unknown), Daryl G. Beetner, William V. Stoecker, Donald C. Wunsch	32
18	Differentiation among basal cell carcinoma, benign lesions, and normal skin using electric impedance 2003 ·IEEE Transactions on Biomedical Engineering ·Daryl G. Beetner, (unknown), (unknown), Xiangyang Zhou, William V. Stoecker	55
19	Nondermatoscopic digital imaging of pigmented lesions 1995 ·Skin Research and Technology ·William V. Stoecker, Randy H. Moss, Fikret Erçal, Scott E. Umbaugh	22
20	Automatic detection of irregular borders in melanoma and other skin tumors 1992 ·Computerized Medical Imaging and Graphics ·(unknown), William V. Stoecker, Randy H. Moss, (unknown)	51

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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