Peter McCaffrey
- Radiology, Nuclear Medicine and Imaging
- Infectious Diseases
- Reproductive Medicine top 10%
- Molecular Biology
- Artificial Intelligence
- Co-authors
- Adam L. BoothScott D. LundyCharis EngManesh Kumar Panner SelvamSajal GuptaAshok AgarwalNeel ParekhNaseer Sangwan
- Topics
- Radiomics and Machine Learning in Medical Imaging (5 papers)COVID-19 diagnosis using AI (4 papers)Machine Learning in Healthcare (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean UrologyFertility and Sterility
- Partner nations
- United StatesChinaItaly
In The Last Decade
Peter McCaffrey
18 papers receiving 355 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Radiology, Nuclear Medicine and Imaging 104
- Infectious Diseases 77
- Reproductive Medicine 67
- Molecular Biology 66
- Artificial Intelligence 55
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-authorship network of co-authors of Peter McCaffrey
This figure shows the co-authorship network connecting the top 25 collaborators of Peter McCaffrey. A scholar is included among the top collaborators of Peter McCaffrey 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 Peter McCaffrey. Peter McCaffrey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 16 | |
| 9 | 10 | |
| 10 | 18 | |
| 11 | 5 | |
| 12 | 17 | |
| 13 | Functional and Taxonomic Dysbiosis of the Gut, Urine, and Semen Microbiomes in Male Infertilitybreakdown → | 125 |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 115 | |
| 17 | 24 | |
| 18 | 5 | |
| 19 | The library as a therapeutic experience. | 2 |
About Peter McCaffrey
Peter McCaffrey is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Emergency Medical Services, 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) and Machine Learning in Healthcare (3 papers). The work is most often cited by research in Health Informatics (17 citations), Reproductive Medicine (67 citations) and Health Information Management (22 citations). Peter McCaffrey has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Adam L. Booth, Scott D. Lundy, Charis Eng, Manesh Kumar Panner Selvam, Sajal Gupta, Ashok Agarwal, Neel Parekh, Naseer Sangwan, Sarah C. Vij and Edmund S. Sabanegh. Their work appears in journals such as SHILAP Revista de lepidopterología, European Urology and Fertility and Sterility.
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.