Darryl Wright
Impact in
- Health Informatics top 10%
Papers in
- 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)Karen L. Masters (2 shared papers)Claudia Scarlata (2 shared papers)Brooke Simmons (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)Gastroenterology (1 paper)Neuroscience (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
Darryl Wright
14 papers receiving 348 citations
Peers
Comparison fields: 5 of 78
- Health Informatics 19
- Instrumentation 22
- Ecological Modeling 24
- Radiology, Nuclear Medicine and Imaging 92
- Astronomy and Astrophysics 71
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 | 115 | |
| 2 | 2019 | 93 | |
| 3 | 2022 | 52 | |
| 4 | 2018 | 38 | |
| 5 | 2021 | 21 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 8 | |
| 8 | 2017 | 6 | |
| 9 | 2019 | 6 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 2 | |
| 12 | The Pan-STARRS Survey for Transients (PSST) | 2015 | 1 |
| 13 | 2019 | 1 | |
| 14 | 2024 | 1 |
About Darryl Wright
Darryl Wright is a scholar working on Artificial Intelligence, Astronomy and Astrophysics, Signal Processing, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 364 indexed citations. Recurring topics across this work include Astronomical Observations and Instrumentation (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Remote Sensing in Agriculture (1 paper), Species Distribution and Climate Change (1 paper), Advanced Vision and Imaging (1 paper), Genetic and Kidney Cyst Diseases (1 paper) and Music and Audio Processing (1 paper). The work is most often cited by research in Health Informatics (19 citations), Instrumentation (22 citations), Ecological Modeling (24 citations), Radiology, Nuclear Medicine and Imaging (92 citations) and Astronomy and Astrophysics (71 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, Karen L. Masters, Claudia Scarlata, Brooke Simmons, Adriana Gregory and Anurima Patra. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Abdominal Radiology, Journal of the American Society of Nephrology, Gastroenterology and Neuroscience.
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.