Simon Arridge

33.2k total citations · 9 hit papers
480 papers, 24.0k citations indexed

About

Simon Arridge is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Mechanics of Materials. According to data from OpenAlex, Simon Arridge has authored 480 papers receiving a total of 24.0k indexed citations (citations by other indexed papers that have themselves been cited), including 403 papers in Radiology, Nuclear Medicine and Imaging, 320 papers in Biomedical Engineering and 45 papers in Mechanics of Materials. Recurrent topics in Simon Arridge's work include Optical Imaging and Spectroscopy Techniques (261 papers), Photoacoustic and Ultrasonic Imaging (252 papers) and Medical Imaging Techniques and Applications (122 papers). Simon Arridge is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (261 papers), Photoacoustic and Ultrasonic Imaging (252 papers) and Medical Imaging Techniques and Applications (122 papers). Simon Arridge collaborates with scholars based in United Kingdom, Finland and United States. Simon Arridge's co-authors include Martin Schweiger, David T. Delpy, Jeremy C. Hebden, M. Cope, Pieter van der Zee, Ben Cox, Adam Gibson, Paul C. Beard, J S Wyatt and Mutsuhisa Hiraoka and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Simon Arridge

464 papers receiving 23.1k citations

Hit Papers

Optical tomography in medical imaging 1988 2026 2000 2013 1999 1988 2005 2017 2012 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Optical tomography in medical imaging
    1999 1.8k citations Simon Arridge profile →
  2. Estimation of optical pathlength through tissue from direct time of flight measurement
    1988 1.7k citations David T. Delpy, Simon Arridge et al. Physics in Medicine and Biology profile →
  3. Recent advances in diffuse optical imaging
    2005 812 citations Jeremy C. Hebden, Simon Arridge et al. Physics in Medicine and Biology profile →
  4. DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction
    2017 674 citations Guang Yang, Simon Arridge et al. IEEE Transactions on Medical Imaging profile →
  5. Quantitative spectroscopic photoacoustic imaging: a review
    2012 510 citations Ben Cox, Simon Arridge et al. Journal of Biomedical Optics profile →
  6. A finite element approach for modeling photon transport in tissue
    1993 505 citations Simon Arridge, Martin Schweiger et al. Medical Physics profile →
  7. The finite element method for the propagation of light in scattering media: Boundary and source conditions
    1995 482 citations Martin Schweiger, Simon Arridge et al. Medical Physics profile →
  8. Optical tomography: forward and inverse problems
    2009 427 citations Simon Arridge et al. profile →
  9. Solving inverse problems using data-driven models
    2019 358 citations Simon Arridge, Peter Maaß et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon Arridge United Kingdom 73 18.7k 16.5k 2.0k 1.8k 1.5k 480 24.0k
Keith D. Paulsen United States 81 12.4k 0.7× 17.7k 1.1× 2.2k 1.1× 1.3k 0.7× 4.1k 2.7× 735 23.4k
Mathias Fink France 105 16.4k 0.9× 27.9k 1.7× 11.4k 5.7× 758 0.4× 6.3k 4.0× 665 42.7k
Steven L. Jacques United States 64 11.2k 0.6× 13.0k 0.8× 1.3k 0.6× 3.2k 1.8× 631 0.4× 407 20.1k
John M. Pauly United States 80 20.3k 1.1× 5.0k 0.3× 244 0.1× 1.6k 0.9× 827 0.5× 308 26.4k
Mickaël Tanter France 91 21.5k 1.2× 23.1k 1.4× 7.5k 3.8× 420 0.2× 1.7k 1.1× 507 32.0k
Arjun G. Yodh United States 92 11.2k 0.6× 15.2k 0.9× 538 0.3× 1.8k 1.0× 3.1k 2.0× 469 30.0k
J. Stuart Nelson United States 76 6.5k 0.3× 9.6k 0.6× 998 0.5× 2.1k 1.1× 1.3k 0.9× 605 23.4k
David A. Boas United States 97 22.4k 1.2× 16.8k 1.0× 241 0.1× 2.7k 1.5× 613 0.4× 501 33.3k
Armando Manduca United States 56 9.5k 0.5× 7.5k 0.5× 2.0k 1.0× 93 0.1× 664 0.4× 278 14.1k
Ferenc A. Jólesz United States 119 21.0k 1.1× 14.1k 0.9× 449 0.2× 823 0.5× 247 0.2× 459 44.8k

Countries citing papers authored by Simon Arridge

Since Specialization
Citations

This map shows the geographic impact of Simon Arridge'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 Simon Arridge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Arridge more than expected).

Fields of papers citing papers by Simon Arridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon Arridge. 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 Simon Arridge. The network helps show where Simon Arridge may publish in the future.

Co-authorship network of co-authors of Simon Arridge

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

All Works

20 of 20 papers shown
1.
2.
Chung, Hyungjin, Tae Hoon Roh, Simon Arridge, et al.. (2025). Steerable Conditional Diffusion for Out-of-Distribution Adaptation in Medical Image Reconstruction. IEEE Transactions on Medical Imaging. 44(5). 2093–2104.
3.
Brown, Katherine L., et al.. (2025). Transitions in intensive care: Investigating critical slowing down post extubation. PLoS ONE. 20(1). e0317211–e0317211. 1 indexed citations
4.
Shipley, Rebecca J., et al.. (2023). A variable heart rate multi-compartmental coupled model of the cardiovascular and respiratory systems. Journal of The Royal Society Interface. 20(207). 20230339–20230339. 1 indexed citations
5.
Arridge, Simon, Peter Maaß, & Carola‐Bibiane Schönlieb. (2022). Deep Learning for Inverse Problems. Oberwolfach Reports. 18(1). 745–789. 1 indexed citations
6.
Bousse, Alexandre, David Atkinson, Sébastien Ourselin, et al.. (2021). Detection Efficiency Modeling and Joint Activity and Attenuation Reconstruction in Non-TOF 3-D PET From Multiple-Energy Window Data. IEEE Transactions on Radiation and Plasma Medical Sciences. 6(1). 87–97. 1 indexed citations
7.
Lunz, Sebastian, Andreas Hauptmann, Tanja Tarvainen, Carola‐Bibiane Schönlieb, & Simon Arridge. (2021). On learned operator correction in inverse problems. University of Oulu Repository (University of Oulu). 24 indexed citations
8.
Hauptmann, Andreas, Jonas Adler, Simon Arridge, & Ozan Öktem. (2020). Multi-scale learned iterative reconstruction. University of Oulu Repository (University of Oulu). 9 indexed citations
9.
Steeden, Jennifer A., Michael A. Quail, Alexander Gotschy, et al.. (2020). Rapid whole-heart CMR with single volume super-resolution. University of Oulu Repository (University of Oulu). 51 indexed citations
10.
McClelland, Jamie R., Marc Modat, Simon Arridge, et al.. (2017). A generalized framework unifying image registration and respiratory motion models and incorporating image reconstruction, for partial image data or full images. Physics in Medicine and Biology. 62(11). 4273–4292. 39 indexed citations
11.
Tarvainen, Tanja, et al.. (2015). Nonlinear approach to difference imaging in diffuse optical tomography. Journal of Biomedical Optics. 20(10). 105001–105001. 10 indexed citations
12.
Yang, Guang, John H. Hipwell, David J. Hawkes, & Simon Arridge. (2013). Numerical Methods for Coupled Reconstruction and Registration in Digital Breast Tomosynthesis. Spiral (Imperial College London). 1 indexed citations
13.
Chamorro-Servent, Judit, Juan Abascal, Juan Aguirre, et al.. (2013). Use of Split Bregman denoising for iterative reconstruction in fluorescence diffuse optical tomography. Journal of Biomedical Optics. 18(7). 76016–76016. 26 indexed citations
14.
Bousse, Alexandre, Kjell Erlandsson, Stefano Pedemonte, et al.. (2013). Angular rebinning for geometry independent SPECT reconstruction. NeuroImage. 259. 308–119421. 2 indexed citations
15.
Abascal, Juan, Judit Chamorro-Servent, Juan Aguirre, et al.. (2011). Fluorescence diffuse optical tomography using the split Bregman method. Medical Physics. 38(11). 6275–6284. 53 indexed citations
16.
Kazantsev, Daniil, Alexandre Bousse, Stefano Pedemonte, et al.. (2011). Edge preserving bowsher prior with nonlocal weighting for 3D spect reconstruction. 1158–1161. 19 indexed citations
17.
Choe, Regine, Alper Corlu, Kijoon Lee, et al.. (2005). Diffuse optical tomography of breast cancer during neoadjuvant chemotherapy: A case study with comparison to MRI. Medical Physics. 32(4). 1128–1139. 228 indexed citations
18.
Firbank, Michael, Simon Arridge, Martin Schweiger, & David T. Delpy. (1996). An investigation of light transport through scattering bodies with non-scattering regions. Physics in Medicine and Biology. 41(4). 767–783. 155 indexed citations
19.
Hebden, Jeremy C. & Simon Arridge. (1996). Time-Resolved Imaging of Solid Tissue Phantoms Using a Perturbation Model. 36. TRIT93–TRIT93.
20.
Schnabel, Julia A. & Simon Arridge. (1996). Hierarchical Shape Description of MR Brain Images Based on Active Contour Models and Multi-Scale Differential Invariants. 1 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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