Jacob Hinkle
Impact in
- Structural Biology top 5%
- Advanced Electron Microscopy Techniques and Applications
- Geometry and Topology top 5%
- Morphological variations and asymmetry
Papers in
-
- Medical Imaging Techniques and Applications 10
- Radiomics and Machine Learning in Medical Imaging 4
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- Topic Modeling 4
- Co-authors
- Sarang Joshi (16 shared papers)P. Thomas Fletcher (7 shared papers)Nikhil Singh (4 shared papers)M. Todd Young (5 shared papers)Bill J. Salter (7 shared papers)Maxim Ziatdinov (3 shared papers)Rama K. Vasudevan (3 shared papers)Arvind Ramanathan (3 shared papers)
- Journals
- Medical Physics (5 papers)Microscopy and Microanalysis (3 papers)Medical Image Analysis (2 papers)IEEE Transactions on Geoscience and Remote Sensing (1 paper)Artificial Intelligence in Medicine (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Jacob Hinkle
44 papers receiving 673 citations
Peers
Comparison fields: 5 of 110
- Structural Biology 36
- Geometry and Topology 104
- Radiation 82
- Radiology, Nuclear Medicine and Imaging 169
- Health Informatics 10
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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 110 | |
| 2 | 2013 | 53 | |
| 3 | 2014 | 51 | |
| 4 | 2019 | 44 | |
| 5 | 2014 | 41 | |
| 6 | 2012 | 34 | |
| 7 | 2022 | 33 | |
| 8 | 2012 | 32 | |
| 9 | 2023 | 30 | |
| 10 | 2013 | 28 | |
| 11 | 2020 | 28 | |
| 12 | 2015 | 24 | |
| 13 | 2009 | 22 | |
| 14 | 2010 | 18 | |
| 15 | 2015 | 16 | |
| 16 | 2019 | 15 | |
| 17 | 2023 | 12 | |
| 18 | 2023 | 11 | |
| 19 | 2018 | 11 | |
| 20 | 2022 | 10 |
About Jacob Hinkle
Jacob Hinkle is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Radiation, Computer Vision and Pattern Recognition and Molecular Biology, having authored 49 papers that have together received 690 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (10 papers), Advanced Radiotherapy Techniques (9 papers), Medical Image Segmentation Techniques (7 papers), Morphological variations and asymmetry (6 papers), Advanced Electron Microscopy Techniques and Applications (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Advanced Neural Network Applications (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Structural Biology (36 citations), Geometry and Topology (104 citations), Radiation (82 citations), Radiology, Nuclear Medicine and Imaging (169 citations) and Health Informatics (10 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, Maxim Ziatdinov, Rama K. Vasudevan, Arvind Ramanathan, Ayana Ghosh and Sergei V. Kalinin. Their work appears in journals such as Medical Physics, Microscopy and Microanalysis, Medical Image Analysis, IEEE Transactions on Geoscience and Remote Sensing and Artificial Intelligence in Medicine.
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.