Darryl Wright

765 total citations
13 papers, 326 citations indexed

About

Darryl Wright is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Astronomy and Astrophysics. According to data from OpenAlex, Darryl Wright has authored 13 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Astronomy and Astrophysics. Recurrent topics in Darryl Wright's work include Radiomics and Machine Learning in Medical Imaging (4 papers), MRI in cancer diagnosis (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Darryl Wright is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), MRI in cancer diagnosis (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Darryl Wright collaborates with scholars based in United States, United Kingdom and India. Darryl Wright's co-authors include Timothy L. Kline, Panagiotis Korfiatis, L. Fortson, Chris Lintott, Karen L. Masters, Claudia Scarlata, H. J. Dickinson, Brooke Simmons, Anurima Patra and Garima Suman and has published in prestigious journals such as Gastroenterology, Monthly Notices of the Royal Astronomical Society and Neuroscience.

In The Last Decade

Darryl Wright

13 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darryl Wright United States 7 121 89 69 63 45 13 326
M. Błażek Czechia 13 33 0.3× 25 0.3× 51 0.7× 31 0.5× 26 0.6× 68 486
Yifeng Zeng United States 13 96 0.8× 32 0.4× 9 0.1× 68 1.1× 36 0.8× 38 385
Luc Boucher Canada 8 276 2.3× 42 0.5× 33 0.5× 30 0.5× 8 0.2× 27 512
E. R. Craine United States 10 27 0.2× 28 0.3× 109 1.6× 100 1.6× 86 1.9× 42 349
Clemens G. Kaiser Germany 15 306 2.5× 64 0.7× 66 1.0× 39 0.6× 11 0.2× 48 648
L. Legrand France 11 117 1.0× 19 0.2× 78 1.1× 7 0.1× 36 0.8× 27 374
N. A. Walton United Kingdom 17 42 0.3× 53 0.6× 576 8.3× 65 1.0× 11 0.2× 82 736
Farah Deeba Canada 12 80 0.7× 56 0.6× 33 0.5× 35 0.6× 70 1.6× 42 374
M. Filho Portugal 11 32 0.3× 148 1.7× 395 5.7× 118 1.9× 90 2.0× 30 649
N. Asada Japan 11 54 0.4× 8 0.1× 244 3.5× 65 1.0× 172 3.8× 40 566

Countries citing papers authored by Darryl Wright

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Darryl Wright

This figure shows the co-authorship network connecting the top 25 collaborators of Darryl Wright. A scholar is included among the top collaborators of Darryl Wright 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 Darryl Wright. Darryl Wright is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Howe, Benjamin M., Darryl Wright, Nicholas G. Rhodes, et al.. (2024). Abnormal Brachial Plexus Differentiation from Routine Magnetic Resonance Imaging: An AI-based Approach. Neuroscience. 546. 178–187. 3 indexed citations
2.
Huo, Zhouyuan, Khe Chai Sim, M. Chua, et al.. (2024). Improving Speech Recognition for African American English with Audio Classification. 12356–12360. 1 indexed citations
3.
4.
Jagtap, Jaidip, Adriana Gregory, Darryl Wright, et al.. (2022). Automated measurement of total kidney volume from 3D ultrasound images of patients affected by polycystic kidney disease and comparison to MR measurements. Abdominal Radiology. 47(7). 2408–2419. 16 indexed citations
5.
Patra, Anurima, Panagiotis Korfiatis, Garima Suman, et al.. (2022). Radiomics-based Machine-learning Models Can Detect Pancreatic Cancer on Prediagnostic Computed Tomography Scans at a Substantial Lead Time Before Clinical Diagnosis. Gastroenterology. 163(5). 1435–1446.e3. 104 indexed citations
6.
Wright, Darryl, Anurima Patra, Panagiotis Korfiatis, et al.. (2022). Radiomics-based machine learning (ML) classifier for detection of type 2 diabetes on standard-of-care abdomen CTs: a proof-of-concept study. Abdominal Radiology. 47(11). 3806–3816. 7 indexed citations
7.
Wright, Darryl, Adriana Gregory, Joshua Warner, et al.. (2022). A systematic review on the use of artificial intelligence in gynecologic imaging – Background, state of the art, and future directions. Gynecologic Oncology. 166(3). 596–605. 43 indexed citations
8.
Korfiatis, Panagiotis, Aleksandar Đenić, Marie E. Edwards, et al.. (2021). Automated Segmentation of Kidney Cortex and Medulla in CT Images: A Multisite Evaluation Study. Journal of the American Society of Nephrology. 33(2). 420–430. 18 indexed citations
9.
Walmsley, Mike, Lewis Smith, Chris Lintott, et al.. (2019). Galaxy Zoo: probabilistic morphology through Bayesian CNNs and active learning. Monthly Notices of the Royal Astronomical Society. 491(2). 1554–1574. 86 indexed citations
10.
Wright, Darryl, et al.. (2019). Help Me to Help You. 2(3). 1–20. 5 indexed citations
11.
Fortson, L., et al.. (2019). Efficient Label Gathering for Machine Training:Results from Muon Hunter 2. Proceedings of 36th International Cosmic Ray Conference — PoS(ICRC2019). 678–678. 1 indexed citations
12.
Beck, Mélanie, Claudia Scarlata, L. Fortson, et al.. (2018). Integrating human and machine intelligence in galaxy morphology classification tasks. Monthly Notices of the Royal Astronomical Society. 476(4). 5516–5534. 35 indexed citations
13.
Friesen, Brian, E. Baron, J. Parrent, et al.. (2017). Optical and ultraviolet spectroscopic analysis of SN 2011fe at late times. Monthly Notices of the Royal Astronomical Society. stx241–stx241. 6 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by M. Błażek Breakdown of academic impact, for papers by Yifeng Zeng Breakdown of academic impact, for papers by Luc Boucher Breakdown of academic impact, for papers by E. R. Craine Breakdown of academic impact, for papers by Clemens G. Kaiser Breakdown of academic impact, for papers by L. Legrand Breakdown of academic impact, for papers by N. A. Walton Breakdown of academic impact, for papers by Farah Deeba Breakdown of academic impact, for papers by M. Filho Breakdown of academic impact, for papers by N. Asada
Rankless by CCL
2026