Corey Arnold
Impact in
- Health Informatics top 1%
Papers in
-
- AI in cancer detection 12
- Topic Modeling 6
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- Radiomics and Machine Learning in Medical Imaging 10
- Radiology practices and education 7
- Co-authors
- William Speier (58 shared papers)Jiayun Li (9 shared papers)King Chung Ho (8 shared papers)Suzie El‐Saden (12 shared papers)Karthik V. Sarma (13 shared papers)Michael Ong (7 shared papers)Nader Pouratian (9 shared papers)Wenyuan Li (6 shared papers)
- Journals
- Journal of the American Medical Informatics Association (7 papers)The Journal of Urology (5 papers)PLoS ONE (4 papers)Academic Radiology (4 papers)Journal of Neural Engineering (3 papers)
- Partner nations
- United StatesCanadaRussia
In The Last Decade
Corey Arnold
100 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 140
- Health Informatics 84
- Health Information Management 122
- Artificial Intelligence 658
- Radiology, Nuclear Medicine and Imaging 364
- Neurology 95
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-authors
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
Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 145 | |
| 2 | 2018 | 90 | |
| 3 | 2021 | 86 | |
| 4 | Bidirectional Representation Learning From Transformers Using Multimodal Electronic Health Record Data to Predict Depression | 2021 | 81 |
| 5 | 2019 | 77 | |
| 6 | 2020 | 59 | |
| 7 | 2019 | 55 | |
| 8 | 2018 | 50 | |
| 9 | 2011 | 45 | |
| 10 | Clinical Case-based Retrieval Using Latent Topic Analysis. | 2010 | 45 |
| 11 | 2022 | 44 | |
| 12 | 2016 | 44 | |
| 13 | A Multi-scale U-Net for Semantic Segmentation of Histological Images from Radical Prostatectomies. | 2017 | 44 |
| 14 | 2018 | 42 | |
| 15 | 2020 | 40 | |
| 16 | 2021 | 38 | |
| 17 | Classifying Acute Ischemic Stroke Onset Time using Deep Imaging Features. | 2017 | 36 |
| 18 | 2018 | 33 | |
| 19 | 2014 | 32 | |
| 20 | Predicting discharge mortality after acute ischemic stroke using balanced data. | 2014 | 32 |
About Corey Arnold
Corey Arnold is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Epidemiology, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 107 papers that have together received 1.8k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (14 papers), AI in cancer detection (12 papers), EEG and Brain-Computer Interfaces (10 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Biomedical Text Mining and Ontologies (8 papers), Radiology practices and education (7 papers), Topic Modeling (6 papers) and Cerebrovascular and Carotid Artery Diseases (6 papers). The work is most often cited by research in Health Informatics (84 citations), Health Information Management (122 citations), Artificial Intelligence (658 citations), Radiology, Nuclear Medicine and Imaging (364 citations) and Neurology (95 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, Michael Ong, Nader Pouratian, Wenyuan Li, Alex Bui and Beatrice S. Knudsen. Their work appears in journals such as Journal of the American Medical Informatics Association, The Journal of Urology, PLoS ONE, Academic Radiology and Journal of Neural Engineering.
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.