Jacob Hinkle
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
- Radiation top 10%
- Advanced Radiotherapy Techniques
Papers in
-
- Medical Imaging Techniques and Applications 12
- Radiomics and Machine Learning in Medical Imaging 5
- COVID-19 diagnosis using AI 3
- Radiation 12
- Advanced Radiotherapy Techniques 10
- Co-authors
- Sarang Joshi (15 shared papers)P. Thomas Fletcher (6 shared papers)Nikhil Singh (4 shared papers)M. Todd Young (5 shared papers)Bill J. Salter (7 shared papers)Arvind Ramanathan (3 shared papers)Andrew R. Lupini (3 shared papers)Rama K. Vasudevan (3 shared papers)
- Journals
- Medical Physics (5 papers)Microscopy and Microanalysis (2 papers)Medical Image Analysis (2 papers)Artificial Intelligence in Medicine (1 paper)Journal of the American Society for Mass Spectrometry (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Jacob Hinkle
40 papers receiving 561 citations
Peers
Comparison fields: 5 of 114
- Structural Biology 32
- Radiation 83
- Health Informatics 12
- Geometry and Topology 69
- Radiology, Nuclear Medicine and Imaging 163
Countries citing papers authored by Jacob Hinkle
This map shows the geographic impact of Jacob Hinkle'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 Hinkle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Hinkle more than expected).
Fields of papers citing papers by Jacob Hinkle
This network shows the impact of papers produced by Jacob Hinkle. 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 Hinkle. The network helps show where Jacob Hinkle may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacob Hinkle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 100 | |
| 2 | 2014 | 42 | |
| 3 | 2013 | 40 | |
| 4 | 2019 | 40 | |
| 5 | 2014 | 37 | |
| 6 | 2012 | 31 | |
| 7 | 2022 | 28 | |
| 8 | 2023 | 27 | |
| 9 | 2020 | 26 | |
| 10 | 2013 | 24 | |
| 11 | 2009 | 19 | |
| 12 | 2015 | 17 | |
| 13 | 2019 | 15 | |
| 14 | 2010 | 14 | |
| 15 | 2015 | 14 | |
| 16 | 2018 | 11 | |
| 17 | 2023 | 11 | |
| 18 | 2007 | 10 | |
| 19 | 2013 | 10 | |
| 20 | 2023 | 10 |
About Jacob Hinkle
Jacob Hinkle is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 47 papers that have together received 578 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (12 papers), Advanced Radiotherapy Techniques (10 papers), Medical Image Segmentation Techniques (7 papers), Morphological variations and asymmetry (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced X-ray and CT Imaging (4 papers), Advanced Neural Network Applications (4 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Structural Biology (32 citations), Radiation (83 citations), Health Informatics (12 citations), Geometry and Topology (69 citations) and Radiology, Nuclear Medicine and Imaging (163 citations). Jacob Hinkle has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Sarang Joshi, P. Thomas Fletcher, Nikhil Singh, M. Todd Young, Bill J. Salter, Arvind Ramanathan, Andrew R. Lupini, Rama K. Vasudevan, Maxim Ziatdinov and Ayana Ghosh. Their work appears in journals such as Medical Physics, Microscopy and Microanalysis, Medical Image Analysis, Artificial Intelligence in Medicine and Journal of the American Society for Mass Spectrometry.
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.