Corey Arnold

2.9k total citations
105 papers, 1.7k citations indexed

About

Corey Arnold is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Corey Arnold has authored 105 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 29 papers in Radiology, Nuclear Medicine and Imaging and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Corey Arnold's work include Radiomics and Machine Learning in Medical Imaging (16 papers), AI in cancer detection (16 papers) and Acute Ischemic Stroke Management (13 papers). Corey Arnold is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (16 papers), AI in cancer detection (16 papers) and Acute Ischemic Stroke Management (13 papers). Corey Arnold collaborates with scholars based in United States, Canada and Russia. Corey Arnold's co-authors include William Speier, Jiayun Li, King Chung Ho, Suzie El‐Saden, Karthik V. Sarma, Nader Pouratian, Wenyuan Li, Arkadiusz Gertych, Alex Bui and Beatrice S. Knudsen and has published in prestigious journals such as Bioinformatics, Gastroenterology and PLoS ONE.

In The Last Decade

Corey Arnold

96 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Corey Arnold United States 24 657 430 241 235 225 105 1.7k
Vince I. Madai Germany 25 635 1.0× 717 1.7× 262 1.1× 323 1.4× 315 1.4× 71 2.7k
William Speier United States 27 464 0.7× 384 0.9× 181 0.8× 163 0.7× 302 1.3× 90 1.8k
Dietmar Frey Germany 19 522 0.8× 751 1.7× 239 1.0× 457 1.9× 211 0.9× 59 2.5k
Marcus A. Badgeley United States 16 613 0.9× 708 1.6× 104 0.4× 223 0.9× 197 0.9× 21 2.0k
Oishi Banerjee United States 5 773 1.2× 687 1.6× 114 0.5× 104 0.4× 126 0.6× 7 2.2k
Vijaya B. Kolachalama United States 28 453 0.7× 405 0.9× 153 0.6× 63 0.3× 353 1.6× 106 2.3k
Imon Banerjee United States 24 1.0k 1.6× 1.1k 2.5× 131 0.5× 185 0.8× 250 1.1× 152 2.6k
Andrew D. Trister United States 20 359 0.5× 427 1.0× 177 0.7× 75 0.3× 118 0.5× 32 1.7k
Siegfried K. Wagner United Kingdom 23 606 0.9× 1.6k 3.7× 221 0.9× 215 0.9× 157 0.7× 94 3.0k
Konstantinos Balaskas United Kingdom 31 590 0.9× 2.2k 5.1× 190 0.8× 288 1.2× 171 0.8× 136 3.8k

Countries citing papers authored by Corey Arnold

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Corey Arnold

This figure shows the co-authorship network connecting the top 25 collaborators of Corey Arnold. A scholar is included among the top collaborators of Corey Arnold based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Corey Arnold. Corey Arnold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Zichen, Aaron Chin, Hamid Reza Hassanzadeh, et al.. (2025). Zero-shot medical event prediction using a generative pretrained transformer on electronic health records. Journal of the American Medical Informatics Association. 32(12). 1833–1842.
2.
Chen, Joseph S., et al.. (2024). A multitask approach for automated detection and segmentation of thyroid nodules in ultrasound images. Computers in Biology and Medicine. 170. 107974–107974. 5 indexed citations
3.
Kihira, Shingo, M J McArthur, Haoyue Zhang, et al.. (2024). Automated Assessment of the DWI-FLAIR Mismatch in Patients with Acute Ischemic Stroke: Added Value to Routine Clinical Practice. American Journal of Neuroradiology. 45(5). 562–567.
4.
5.
Lee, Denise, Masha J. Livhits, James X. Wu, et al.. (2024). From Bench-to-Bedside: How Artificial Intelligence is Changing Thyroid Nodule Diagnostics, a Systematic Review. The Journal of Clinical Endocrinology & Metabolism. 109(7). 1684–1693. 5 indexed citations
6.
Arnold, Corey, et al.. (2024). High performance P300 spellers using GPT2 word prediction with cross-subject training. 11(4). 210–224. 1 indexed citations
7.
Nour, May, Shingo Kihira, Haoyue Zhang, et al.. (2023). Perfusion Collateral Index versus Hypoperfusion Intensity Ratio in Assessment of Collaterals in Patients with Acute Ischemic Stroke. American Journal of Neuroradiology. 44(11). 1249–1255. 5 indexed citations
8.
Khalil, Carine, Welmoed K. van Deen, Taylor Dupuy, et al.. (2023). Patients’ Perspectives, Experiences, and Concerns With Perianal Fistulae: Insights From Online Targeted-Disease Forums. Crohn s & Colitis 360. 5(4). otad073–otad073.
9.
Zhang, Haoyue, Joe X Qiao, William Hsu, et al.. (2022). Automated estimation of ischemic core volume on noncontrast-enhanced CT via machine learning. Interventional Neuroradiology. 31(1). 32–41. 5 indexed citations
10.
Zhang, Haoyue, Kambiz Nael, Noriko Salamon, et al.. (2022). Identifying acute ischemic stroke patients within the thrombolytic treatment window using deep learning. Journal of Neuroimaging. 32(6). 1153–1160. 12 indexed citations
11.
Gonzalez, Gabriela, Carine Khalil, Corey Arnold, et al.. (2022). Using Large-scale Social Media Analytics to Understand Patient Perspectives About Urinary Tract Infections: Thematic Analysis. Journal of Medical Internet Research. 24(1). e26781–e26781. 18 indexed citations
12.
Chen, Chao, Catalina Raymond, William Speier, et al.. (2022). Synthesizing MR Image Contrast Enhancement Using 3D High-Resolution ConvNets. IEEE Transactions on Biomedical Engineering. 70(2). 401–412. 38 indexed citations
13.
Shufelt, Chrisandra, Andy Kim, Sandy Joung, et al.. (2020). Biometric and Psychometric Remote Monitoring and Cardiovascular Risk Biomarkers in Ischemic Heart Disease. Journal of the American Heart Association. 9(18). e016023–e016023. 7 indexed citations
14.
Speier, William, et al.. (2019). Assessment of Heart Failure Patients’ Interest in Mobile Health Apps for Self-Care: Survey Study. JMIR Cardio. 3(2). e14332–e14332. 23 indexed citations
15.
Shufelt, Chrisandra, Eldin Dzubur, Sandy Joung, et al.. (2019). A protocol integrating remote patient monitoring patient reported outcomes and cardiovascular biomarkers. npj Digital Medicine. 2(1). 84–84. 9 indexed citations
16.
Li, Wenyuan, et al.. (2019). Semi-supervised learning based on generative adversarial network: a comparison between good GAN and bad GAN approach. arXiv (Cornell University). 55–65. 1 indexed citations
17.
Dzubur, Eldin, Carine Khalil, Christopher V. Almario, et al.. (2018). Patient Concerns and Perceptions Regarding Biologic Therapies in Ankylosing Spondylitis: Insights From a Large‐Scale Survey of Social Media Platforms. Arthritis Care & Research. 71(2). 323–330. 23 indexed citations
18.
Speier, William, Corey Arnold, & Nader Pouratian. (2016). Integrating language models into classifiers for BCI communication: a review. Journal of Neural Engineering. 13(3). 31002–31002. 43 indexed citations
19.
Aberle, Denise R., et al.. (2016). Consumers’ Patient Portal Preferences and Health Literacy: A Survey Using Crowdsourcing. JMIR Research Protocols. 5(2). e104–e104. 19 indexed citations
20.
Speier, William, et al.. (2014). Integrating Language Information With a Hidden Markov Model to Improve Communication Rate in the P300 Speller. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 22(3). 678–684. 32 indexed citations

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.

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