Kevin D. Harkins
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- Advanced MRI Techniques and Applications 33
- Advanced Neuroimaging Techniques and Applications 21
- MRI in cancer diagnosis 7
- Medical Imaging Techniques and Applications 5
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- Bone and Joint Diseases 5
- Bone health and osteoporosis research 3
- Nuclear and High Energy Physics top 10%
- NMR spectroscopy and applications 10
- Spectroscopy top 10%
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- Atomic and Subatomic Physics Research 3
- Co-authors
- Mark D. DoesJohn C. GoreDaniel F. GochbergAdrienne N. DulaJunzhong XuTheodore P. TrouardJean‐Philippe GalonsTimothy W. Secomb
- Cited by
- Radiology, Nuclear Medicine and ImagingOrthopedics and Sports MedicineComputational Mathematics
- Journals
- Magnetic Resonance in Medicine (14 papers)NMR in Biomedicine (4 papers)NeuroImage (3 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Kevin D. Harkins
35 papers receiving 776 citations
Peers
Comparison fields: 5 of 93
- Radiology, Nuclear Medicine and Imaging 640
- Orthopedics and Sports Medicine 145
- Computational Mathematics 7
- Nuclear and High Energy Physics 129
- Spectroscopy 96
Countries citing papers authored by Kevin D. Harkins
This map shows the geographic impact of Kevin D. Harkins'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 Kevin D. Harkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin D. Harkins more than expected).
Fields of papers citing papers by Kevin D. Harkins
This network shows the impact of papers produced by Kevin D. Harkins. 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 Kevin D. Harkins. The network helps show where Kevin D. Harkins may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin D. Harkins, 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 | 2025 | 5 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 1 | |
| 11 | 2021 | 6 | |
| 12 | 2020 | 21 | |
| 13 | 2016 | 16 | |
| 14 | 2014 | 100 | |
| 15 | 2014 | 22 | |
| 16 | 2012 | 20 | |
| 17 | 2011 | 75 | |
| 18 | 2011 | 10 | |
| 19 | 2009 | 55 | |
| 20 | 2008 | 12 |
About Kevin D. Harkins
Kevin D. Harkins is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Nuclear and High Energy Physics, having authored 39 papers that have together received 787 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (33 papers), Advanced Neuroimaging Techniques and Applications (21 papers), NMR spectroscopy and applications (10 papers), MRI in cancer diagnosis (7 papers), Medical Imaging Techniques and Applications (5 papers), Bone and Joint Diseases (5 papers), Atomic and Subatomic Physics Research (3 papers) and Bone health and osteoporosis research (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (640 citations), Orthopedics and Sports Medicine (145 citations) and Computational Mathematics (7 citations). Kevin D. Harkins has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Mark D. Does, John C. Gore, Daniel F. Gochberg, Adrienne N. Dula, Junzhong Xu, Theodore P. Trouard, Jean‐Philippe Galons, Timothy W. Secomb, Xiaoyu Jiang and Jeffry S. Nyman. Their work appears in journals such as Magnetic Resonance in Medicine, NMR in Biomedicine, NeuroImage, Journal of Magnetic Resonance and Advanced Science.
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.