Jacob Pfau
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Cutaneous Melanoma Detection and Management
Papers in
-
- AI in cancer detection 3
- Topic Modeling 1
- Natural Language Processing Techniques 1
- Oncology 3
- Cutaneous Melanoma Detection and Management 3
- Co-authors
- Albert T. Young (4 shared papers)Maria L. Wei (4 shared papers)Mulin Xiong (2 shared papers)Michael J. Keiser (3 shared papers)Raj P. Fadadu (1 shared paper)
- Journals
- Journal of Investigative Dermatology (2 papers)npj Digital Medicine (1 paper)Current Dermatology Reports (1 paper)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Jacob Pfau
4 papers receiving 181 citations
Peers
Comparison fields: 5 of 56
- Health Informatics 32
- Oncology 88
- Dermatology 24
- Biophysics 11
- Artificial Intelligence 58
Countries citing papers authored by Jacob Pfau
This map shows the geographic impact of Jacob Pfau'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 Jacob Pfau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Pfau more than expected).
Fields of papers citing papers by Jacob Pfau
This network shows the impact of papers produced by Jacob Pfau. 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 Jacob Pfau. The network helps show where Jacob Pfau may publish in the future.
Co-authors
The 5 scholars most cited alongside Jacob Pfau, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 138 | |
| 2 | 2021 | 33 | |
| 3 | 2019 | 12 | |
| 4 | 2023 | 2 | |
| 5 | 2020 | 0 |
About Jacob Pfau
Jacob Pfau is a scholar working on Artificial Intelligence, Oncology, Computer Vision and Pattern Recognition, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 5 papers that have together received 185 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Cutaneous Melanoma Detection and Management (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Nonmelanoma Skin Cancer Studies (1 paper), Topic Modeling (1 paper), Natural Language Processing Techniques (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Health Informatics (32 citations), Oncology (88 citations), Dermatology (24 citations), Biophysics (11 citations) and Artificial Intelligence (58 citations). Jacob Pfau has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Albert T. Young, Maria L. Wei, Mulin Xiong, Michael J. Keiser and Raj P. Fadadu. Their work appears in journals such as Journal of Investigative Dermatology, npj Digital Medicine and Current Dermatology Reports.
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.