Corey Arnold
- Health Informatics top 1%
- Artificial Intelligence top 2%
- AI in cancer detection 16
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- Radiomics and Machine Learning in Medical Imaging 16
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- Acute Ischemic Stroke Management 13
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- EEG and Brain-Computer Interfaces 11
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- Cerebrovascular and Carotid Artery Diseases 10
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- Mobile Health and mHealth Applications 10
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- Biomedical Text Mining and Ontologies 9
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- Pelvic floor disorders treatments 8
- Co-authors
- William SpeierJiayun LiKing Chung HoSuzie El‐SadenKarthik V. SarmaNader PouratianWenyuan LiArkadiusz Gertych
- Journals
- Journal of the American Medical Informatics Association (7 papers)The Journal of Urology (5 papers)Academic Radiology (4 papers)
- Partner nations
- United StatesCanadaRussia
In The Last Decade
Corey Arnold
96 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 145
- Health Informatics 104
- Health Information Management 123
- Artificial Intelligence 657
- Radiology, Nuclear Medicine and Imaging 430
- Computer Vision and Pattern Recognition 241
Countries citing papers authored by Corey Arnold
This map shows the geographic impact of Corey Arnold'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 Corey Arnold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corey Arnold more than expected).
Fields of papers citing papers by Corey Arnold
This network shows the impact of papers produced by Corey Arnold. 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 Corey Arnold. The network helps show where Corey Arnold may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Corey Arnold, 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 | 0 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 18 | |
| 12 | 2022 | 38 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 23 | |
| 16 | Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach | 2019 | 1 |
| 17 | 2019 | 9 | |
| 18 | 2018 | 23 | |
| 19 | 2016 | 19 | |
| 20 | 2016 | 43 |
About Corey Arnold
Corey Arnold is a scholar working on Health Informatics, Health Information Management, Family Practice, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 105 papers that have together received 1.7k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (16 papers), AI in cancer detection (16 papers), Acute Ischemic Stroke Management (13 papers), EEG and Brain-Computer Interfaces (11 papers), Cerebrovascular and Carotid Artery Diseases (10 papers), Mobile Health and mHealth Applications (10 papers), Biomedical Text Mining and Ontologies (9 papers) and Pelvic floor disorders treatments (8 papers). The work is most often cited by research in Health Informatics (104 citations), Health Information Management (123 citations), Artificial Intelligence (657 citations), Radiology, Nuclear Medicine and Imaging (430 citations) and Computer Vision and Pattern Recognition (241 citations). Corey Arnold has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include William Speier, Jiayun Li, King Chung Ho, Suzie El‐Saden, Karthik V. Sarma, Nader Pouratian, Wenyuan Li, Arkadiusz Gertych, Beatrice S. Knudsen and Alex Bui. Their work appears in journals such as Journal of the American Medical Informatics Association, The Journal of Urology, Academic Radiology, PLoS ONE and American Journal of Neuroradiology.
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.