Darryl Wright
Impact in
- Health Informatics top 10%
Papers in ⓘ
-
- Radiomics and Machine Learning in Medical Imaging 4
- MRI in cancer diagnosis 2
- COVID-19 diagnosis using AI 1
- Co-authors
- Timothy L. Kline (7 shared papers)Panagiotis Korfiatis (5 shared papers)Chris Lintott (3 shared papers)L. Fortson (4 shared papers)H. J. Dickinson (3 shared papers)Brooke Simmons (2 shared papers)Karen L. Masters (2 shared papers)Claudia Scarlata (2 shared papers)
- Journals
- Monthly Notices of the Royal Astronomical Society (3 papers)Abdominal Radiology (2 papers)Journal of the American Society of Nephrology (1 paper)Neuroscience (1 paper)Gynecologic Oncology (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Darryl Wright
13 papers receiving 312 citations
Peers
Comparison fields: 5 of 76
- Health Informatics 16
- Instrumentation 21
- Radiology, Nuclear Medicine and Imaging 121
- Ecological Modeling 20
- Astronomy and Astrophysics 69
Countries citing papers authored by Darryl Wright
This map shows the geographic impact of Darryl Wright'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 Darryl Wright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darryl Wright more than expected).
Fields of papers citing papers by Darryl Wright
This network shows the impact of papers produced by Darryl Wright. 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 Darryl Wright. The network helps show where Darryl Wright may publish in the future.
Co-authors
The 25 scholars most cited alongside Darryl Wright, 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 | 2022 | 104 | |
| 2 | 2019 | 86 | |
| 3 | 2022 | 43 | |
| 4 | 2018 | 35 | |
| 5 | 2021 | 18 | |
| 6 | 2022 | 16 | |
| 7 | 2022 | 7 | |
| 8 | 2017 | 6 | |
| 9 | 2019 | 5 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2024 | 1 |
About Darryl Wright
Darryl Wright is a scholar working on Ecological Modeling, Radiology, Nuclear Medicine and Imaging, Signal Processing, Artificial Intelligence and Obstetrics and Gynecology, having authored 13 papers that have together received 326 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Genetic and Kidney Cyst Diseases (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), MRI in cancer diagnosis (2 papers), COVID-19 diagnosis using AI (1 paper), Galaxies: Formation, Evolution, Phenomena (1 paper), Particle Detector Development and Performance (1 paper) and Endometrial and Cervical Cancer Treatments (1 paper). The work is most often cited by research in Health Informatics (16 citations), Instrumentation (21 citations), Radiology, Nuclear Medicine and Imaging (121 citations), Ecological Modeling (20 citations) and Astronomy and Astrophysics (69 citations). Darryl Wright has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Timothy L. Kline, Panagiotis Korfiatis, Chris Lintott, L. Fortson, H. J. Dickinson, Brooke Simmons, Karen L. Masters, Claudia Scarlata, Garima Suman and Ajit H. Goenka. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Abdominal Radiology, Journal of the American Society of Nephrology, Neuroscience and Gynecologic Oncology.
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.