Peter McCaffrey
Impact in
- Health Informatics top 10%
- Reproductive Medicine top 10%
- Sperm and Testicular Function
Papers in
-
- Radiomics and Machine Learning in Medical Imaging 5
- COVID-19 diagnosis using AI 4
- Co-authors
- Adam L. Booth (1 shared paper)Naseer Sangwan (2 shared papers)Ashok Agarwal (2 shared papers)Charis Eng (2 shared papers)Manesh Kumar Panner Selvam (2 shared papers)Sajal Gupta (2 shared papers)Sarah C. Vij (2 shared papers)Neel Parekh (2 shared papers)
- Journals
- Platelets (1 paper)Journal of Visual Communication and Image Representation (1 paper)Journal of Clinical Pathology (1 paper)Computers in Biology and Medicine (1 paper)Modern Pathology (1 paper)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Peter McCaffrey
18 papers receiving 355 citations
Peter McCaffrey's Hit Papers
Peers
Comparison fields: 5 of 96
- Health Informatics 17
- Reproductive Medicine 67
- Health Information Management 22
- Urology 29
- Radiology, Nuclear Medicine and Imaging 104
Countries citing papers authored by Peter McCaffrey
This map shows the geographic impact of Peter McCaffrey'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 Peter McCaffrey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter McCaffrey more than expected).
Fields of papers citing papers by Peter McCaffrey
This network shows the impact of papers produced by Peter McCaffrey. 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 Peter McCaffrey. The network helps show where Peter McCaffrey may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter McCaffrey, 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 | Functional and Taxonomic Dysbiosis of the Gut, Urine, and Semen Microbiomes in Male Infertility Hit paper breakdown → | 2021 | 125 |
| 2 | 2020 | 115 | |
| 3 | 2020 | 24 | |
| 4 | 2022 | 18 | |
| 5 | 2021 | 17 | |
| 6 | 2023 | 16 | |
| 7 | 2022 | 10 | |
| 8 | 2024 | 9 | |
| 9 | 2009 | 5 | |
| 10 | 2022 | 5 | |
| 11 | 2023 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2024 | 2 | |
| 16 | The library as a therapeutic experience. | 1959 | 2 |
| 17 | 2020 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 0 |
About Peter McCaffrey
Peter McCaffrey is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology, Artificial Intelligence, Molecular Biology and Health Informatics, having authored 19 papers that have together received 360 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 diagnosis using AI (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Machine Learning in Healthcare (3 papers), Healthcare Operations and Scheduling Optimization (2 papers), SARS-CoV-2 detection and testing (2 papers), COVID-19 Clinical Research Studies (2 papers) and Sperm and Testicular Function (2 papers). The work is most often cited by research in Health Informatics (17 citations), Reproductive Medicine (67 citations), Health Information Management (22 citations), Urology (29 citations) and Radiology, Nuclear Medicine and Imaging (104 citations). Peter McCaffrey has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Adam L. Booth, Naseer Sangwan, Ashok Agarwal, Charis Eng, Manesh Kumar Panner Selvam, Sajal Gupta, Sarah C. Vij, Neel Parekh, Scott D. Lundy and Edmund S. Sabanegh. Their work appears in journals such as Platelets, Journal of Visual Communication and Image Representation, Journal of Clinical Pathology, Computers in Biology and Medicine and Modern Pathology.
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.