Derek Driggs

1.1k total citations · 1 hit paper
9 papers, 630 citations indexed

About

Derek Driggs is a scholar working on Computational Mechanics, Numerical Analysis and Health Informatics. According to data from OpenAlex, Derek Driggs has authored 9 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Mechanics, 3 papers in Numerical Analysis and 2 papers in Health Informatics. Recurrent topics in Derek Driggs's work include Sparse and Compressive Sensing Techniques (4 papers), Advanced Optimization Algorithms Research (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Derek Driggs is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Advanced Optimization Algorithms Research (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Derek Driggs collaborates with scholars based in United Kingdom, United States and Australia. Derek Driggs's co-authors include Carola‐Bibiane Schönlieb, James H.F. Rudd, Effrossyni Gkrania‐Klotsas, Stephan Ursprung, Evis Sala, Jonathan Weir‐McCall, Christian Etmann, Julian Gilbey, Michael Yeung and Michael Roberts and has published in prestigious journals such as SIAM Journal on Imaging Sciences, Journal of Language Identity & Education and Europe PMC (PubMed Central).

In The Last Decade

Derek Driggs

8 papers receiving 612 citations

Hit Papers

Common pitfalls and recommendations for using machine lea... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Derek Driggs United Kingdom 5 365 257 203 72 55 9 630
Cathal McCague United Kingdom 6 467 1.3× 269 1.0× 213 1.0× 98 1.4× 82 1.5× 11 737
Christian Etmann United Kingdom 6 385 1.1× 273 1.1× 206 1.0× 82 1.1× 55 1.0× 7 703
Julian Gilbey United Kingdom 7 408 1.1× 255 1.0× 203 1.0× 97 1.3× 71 1.3× 10 792
Friederike Jungmann Germany 9 235 0.6× 326 1.3× 180 0.9× 38 0.5× 43 0.8× 15 648
Stephan Ursprung United Kingdom 10 600 1.6× 313 1.2× 264 1.3× 123 1.7× 167 3.0× 29 941
Shinjini Kundu United States 11 153 0.4× 173 0.7× 164 0.8× 46 0.6× 139 2.5× 19 690
Jinlu Ma China 2 651 1.8× 418 1.6× 139 0.7× 33 0.5× 70 1.3× 5 707
Wahab Mohyuddin South Korea 9 229 0.6× 164 0.6× 53 0.3× 70 1.0× 24 0.4× 29 691
Nima Bayat-Makou Canada 10 229 0.6× 161 0.6× 53 0.3× 35 0.5× 24 0.4× 25 703
Vaishnavi Singh India 3 681 1.9× 471 1.8× 146 0.7× 40 0.6× 90 1.6× 6 823

Countries citing papers authored by Derek Driggs

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Derek Driggs

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

All Works

9 of 9 papers shown
1.
Driggs, Derek, Matthias J. Ehrhardt, Carola‐Bibiane Schönlieb, & Junqi Tang. (2024). Practical Acceleration of the Condat–Vũ Algorithm. SIAM Journal on Imaging Sciences. 17(4). 2076–2109.
2.
Kiaer, Jieun, Derek Driggs, Lucien Brown, & Naya Choi. (2022). Ideologies in Second Language Learning: The Case of Korean Address Terms. Journal of Language Identity & Education. 23(6). 858–878. 4 indexed citations
3.
Driggs, Derek, Junqi Tang, Jingwei Liang, Mike E. Davies, & Carola‐Bibiane Schönlieb. (2021). A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization. SIAM Journal on Imaging Sciences. 14(4). 1932–1970. 18 indexed citations
4.
Roberts, Michael, Derek Driggs, Julian Gilbey, et al.. (2020). Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review. Europe PMC (PubMed Central). 10 indexed citations
5.
Roberts, Michael, Derek Driggs, Matthew Thorpe, et al.. (2020). Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans. Research Explorer (The University of Manchester). 573 indexed citations breakdown →
6.
Driggs, Derek, Jingwei Liang, & Carola‐Bibiane Schönlieb. (2019). On the Bias-Variance Tradeoff in Stochastic Gradient Methods. arXiv (Cornell University). 1 indexed citations
7.
Kiaer, Jieun, et al.. (2019). The Roles of Age, Gender and Setting in Korean Half-talk Shift. 26(3). 279–308. 1 indexed citations
8.
Driggs, Derek & Hamza Fawzi. (2019). AnySOS: An anytime algorithm for SOS programming. 1. 3012–3017. 2 indexed citations
9.
Calkins, Michael A., et al.. (2015). The asymptotic equivalence of fixed heat flux and fixed temperature thermal boundary conditions for rapidly rotating convection. arXiv (Cornell University). 21 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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