Derek Driggs
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Sparse and Compressive Sensing Techniques 4
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- Advanced Optimization Algorithms Research 3
- Co-authors
- Carola‐Bibiane Schönlieb (5 shared papers)Michael Roberts (2 shared papers)Evis Sala (2 shared papers)Julian Gilbey (2 shared papers)Cathal McCague (2 shared papers)Christian Etmann (2 shared papers)Lucian Beer (2 shared papers)Michael Yeung (1 shared paper)
- Journals
- SIAM Journal on Imaging Sciences (2 papers)Journal of Language Identity & Education (1 paper)Research Explorer (The University of Manchester) (1 paper)Europe PMC (PubMed Central) (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Derek Driggs
8 papers receiving 622 citations
Derek Driggs's Hit Papers
Peers
Comparison fields: 5 of 121
- Health Informatics 178
- Radiology, Nuclear Medicine and Imaging 341
- Artificial Intelligence 241
- Computational Mathematics 4
- Health Information Management 26
Countries citing papers authored by Derek Driggs
This map shows the geographic impact of Derek Driggs'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 Derek Driggs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Derek Driggs more than expected).
Fields of papers citing papers by Derek Driggs
This network shows the impact of papers produced by Derek Driggs. 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 Derek Driggs. The network helps show where Derek Driggs may publish in the future.
Co-authors
The 25 scholars most cited alongside Derek Driggs, 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 | Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans Hit paper breakdown → | 2020 | 580 |
| 2 | 2015 | 21 | |
| 3 | 2021 | 19 | |
| 4 | Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review | 2020 | 10 |
| 5 | 2022 | 4 | |
| 6 | 2019 | 2 | |
| 7 | The Roles of Age, Gender and Setting in Korean Half-talk Shift | 2019 | 1 |
| 8 | On the Bias-Variance Tradeoff in Stochastic Gradient Methods | 2019 | 1 |
| 9 | 2024 | 0 |
About Derek Driggs
Derek Driggs is a scholar working on Computational Mechanics, Numerical Analysis, Health Informatics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 638 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (4 papers), Advanced Optimization Algorithms Research (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), COVID-19 diagnosis using AI (2 papers), Stochastic Gradient Optimization Techniques (2 papers), Second Language Learning and Teaching (1 paper) and Plant Water Relations and Carbon Dynamics (1 paper). The work is most often cited by research in Health Informatics (178 citations), Radiology, Nuclear Medicine and Imaging (341 citations), Artificial Intelligence (241 citations), Computational Mathematics (4 citations) and Health Information Management (26 citations). Derek Driggs has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Carola‐Bibiane Schönlieb, Michael Roberts, Evis Sala, Julian Gilbey, Cathal McCague, Christian Etmann, Lucian Beer, Michael Yeung, Jonathan Weir‐McCall and Stephan Ursprung. Their work appears in journals such as SIAM Journal on Imaging Sciences, Journal of Language Identity & Education, Research Explorer (The University of Manchester), Europe PMC (PubMed Central) and arXiv (Cornell University).
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.