Mike Feldman
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Cancer Research
- Co-authors
- Haibo WangJohn TomaszewskiAjay BasavanhallyAnant MadabhushiÁngel Cruz-RoaHannah GilmoreFabio A. GonzálezNatalie Shih
- Topics
- Radiomics and Machine Learning in Medical Imaging (2 papers)Digital Imaging for Blood Diseases (2 papers)AI in cancer detection (2 papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Molecular Basis of DiseaseJournal of Vascular ResearchJournal of Medical Imaging
- Partner nations
- United StatesColombiaJapan
In The Last Decade
Mike Feldman
4 papers receiving 384 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 267
- Computer Vision and Pattern Recognition 170
- Radiology, Nuclear Medicine and Imaging 164
- Molecular Biology 67
- Cancer Research 47
Countries citing papers authored by Mike Feldman
This map shows the geographic impact of Mike Feldman'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 Mike Feldman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Feldman more than expected).
Fields of papers citing papers by Mike Feldman
This network shows the impact of papers produced by Mike Feldman. 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 Mike Feldman. The network helps show where Mike Feldman may publish in the future.
Co-authorship network of co-authors of Mike Feldman
This figure shows the co-authorship network connecting the top 25 collaborators of Mike Feldman. A scholar is included among the top collaborators of Mike Feldman 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 Mike Feldman. Mike Feldman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 249 | |
| 3 | 83 | |
| 4 | 10 |
About Mike Feldman
Mike Feldman is a scholar working on Internal Medicine, Computer Vision and Pattern Recognition and Hematology, having authored 4 papers that have together received 395 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Digital Imaging for Blood Diseases (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (170 citations), Artificial Intelligence (267 citations) and Health Informatics (11 citations). Mike Feldman has collaborated with scholars based in United States, Colombia and Japan. Frequent co-authors include Haibo Wang, John Tomaszewski, Ajay Basavanhally, Anant Madabhushi, Ángel Cruz-Roa, Hannah Gilmore, Fabio A. González, Natalie Shih, Brett A. Kaufman and Satish Srinivasan. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Journal of Vascular Research and Journal of Medical Imaging.
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.