R. Wilkinson

36.1k total citations · 1 hit paper
49 papers, 2.0k citations indexed

About

R. Wilkinson is a scholar working on Cardiology and Cardiovascular Medicine, Atmospheric Science and Global and Planetary Change. According to data from OpenAlex, R. Wilkinson has authored 49 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 10 papers in Atmospheric Science and 9 papers in Global and Planetary Change. Recurrent topics in R. Wilkinson's work include Cardiac electrophysiology and arrhythmias (9 papers), Geology and Paleoclimatology Research (8 papers) and High-Energy Particle Collisions Research (6 papers). R. Wilkinson is often cited by papers focused on Cardiac electrophysiology and arrhythmias (9 papers), Geology and Paleoclimatology Research (8 papers) and High-Energy Particle Collisions Research (6 papers). R. Wilkinson collaborates with scholars based in United Kingdom, United States and Netherlands. R. Wilkinson's co-authors include Michael Marmot, Patricia O’Campo, Kate E. Pickett, Hunter Lovins, Jacqueline McGlade, Ida Kubiszewski, Roberto De Vogli, Robert Costanza, Debra Roberts and Enrico Giovannini and has published in prestigious journals such as Nature, The Journal of Chemical Physics and The Science of The Total Environment.

In The Last Decade

R. Wilkinson

46 papers receiving 2.0k citations

Hit Papers

Development: Time to leave GDP behind 2014 2026 2018 2022 2014 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Wilkinson United Kingdom 20 319 297 228 222 216 49 2.0k
Josep Antoni Martín Fernández Spain 28 184 0.6× 198 0.7× 160 0.7× 83 0.4× 67 0.3× 96 4.4k
David A. Ross United States 43 1.2k 3.9× 156 0.5× 681 3.0× 154 0.7× 210 1.0× 256 6.4k
Daniel Simpson United Kingdom 20 163 0.5× 671 2.3× 170 0.7× 617 2.8× 164 0.8× 57 4.3k
Daniel Wartenberg United States 34 336 1.1× 232 0.8× 89 0.4× 373 1.7× 196 0.9× 108 3.8k
Michael A. Ellis United States 38 134 0.4× 328 1.1× 1.3k 5.6× 176 0.8× 65 0.3× 140 4.9k
Paul Hewson United Kingdom 18 82 0.3× 192 0.6× 79 0.3× 162 0.7× 48 0.2× 53 3.0k
Mike Smith Australia 34 168 0.5× 507 1.7× 972 4.3× 94 0.4× 59 0.3× 126 3.9k
Werner Marx Germany 30 97 0.3× 278 0.9× 129 0.6× 169 0.8× 35 0.2× 124 2.8k
John Woodward United Kingdom 33 100 0.3× 289 1.0× 1.8k 7.8× 55 0.2× 97 0.4× 119 3.3k
Catherine A. Calder United States 24 257 0.8× 481 1.6× 160 0.7× 348 1.6× 168 0.8× 57 2.3k

Countries citing papers authored by R. Wilkinson

Since Specialization
Citations

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

Fields of papers citing papers by R. Wilkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Wilkinson

This figure shows the co-authorship network connecting the top 25 collaborators of R. Wilkinson. A scholar is included among the top collaborators of R. Wilkinson 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 R. Wilkinson. R. Wilkinson 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.
Rodero, Cristóbal, et al.. (2025). Weaving the Digital Tapestry: Methods for Emulating Cohorts of Cardiac Digital Twins Using Gaussian Processes. Annals of Biomedical Engineering. 54(2). 514–530.
2.
Strocchi, Marina, Christoph M. Augustin, Matthias A. F. Gsell, et al.. (2025). Integrating Imaging and Invasive Pressure Data into a Multiscale Whole-Heart Model. Journal of Biomechanical Engineering. 148(5). 1 indexed citations
3.
Rodero, Cristóbal, Marina Strocchi, Christoph M. Augustin, et al.. (2025). Regional heterogeneity in left atrial stiffness impacts passive deformation in a cohort of patient-specific models. PLoS Computational Biology. 21(11). e1013656–e1013656. 2 indexed citations
4.
Lei, Chon Lok, et al.. (2025). Optimizing experimental designs for model selection of ion channel drug-binding mechanisms. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 383(2292). 20240227–20240227. 1 indexed citations
5.
Strocchi, Marina, Christoph M. Augustin, Matthias A. F. Gsell, et al.. (2023). Cell to whole organ global sensitivity analysis on a four-chamber heart electromechanics model using Gaussian processes emulators. PLoS Computational Biology. 19(6). e1011257–e1011257. 37 indexed citations
6.
Turner, Fiona, Caitlin E. Buck, Julie Jones, et al.. (2023). Reconstructing the Antarctic ice-sheet shape at the Last Glacial Maximum using ice-core data. Journal of the Royal Statistical Society Series C (Applied Statistics). 72(5). 1493–1511. 2 indexed citations
7.
Corrado, Cesare, Caroline H. Roney, Orod Razeghi, et al.. (2023). Quantifying the impact of shape uncertainty on predicted arrhythmias. Computers in Biology and Medicine. 153. 106528–106528. 8 indexed citations
8.
Coveney, Sam, Caroline H. Roney, Cesare Corrado, et al.. (2022). Calibrating cardiac electrophysiology models using latent Gaussian processes on atrial manifolds. Scientific Reports. 12(1). 16572–16572. 5 indexed citations
9.
Lei, Chon Lok, David J. Whittaker, Yasser Aboelkassem, et al.. (2020). Considering discrepancy when calibrating a mechanistic electrophysiology model. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 378(2173). 20190349–20190349. 45 indexed citations
10.
Inglis, Gordon N., Fran Bragg, Natalie Burls, et al.. (2020). Global mean surface temperature and climate sensitivity of the EECO, PETM and latest Paleocene. Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt). 9 indexed citations
11.
Inglis, Gordon N., Fran Bragg, Natalie Burls, et al.. (2020). Global mean surface temperature and climate sensitivity of the early Eocene Climatic Optimum (EECO), Paleocene–Eocene Thermal Maximum (PETM), and latest Paleocene. Climate of the past. 16(5). 1953–1968. 102 indexed citations
12.
Corrado, Cesare, Orod Razeghi, Caroline H. Roney, et al.. (2019). Quantifying atrial anatomy uncertainty from clinical data and its impact on electro-physiology simulation predictions. Medical Image Analysis. 61. 101626–101626. 24 indexed citations
13.
Holden, Philip B., et al.. (2019). PALEO-PGEM v1.0: a statistical emulator of Pliocene–Pleistocene climate. Geoscientific model development. 12(12). 5137–5155. 28 indexed citations
14.
Holden, Philip B., Neil R. Edwards, Andy Ridgwell, et al.. (2018). Author Correction: Climate–carbon cycle uncertainties and the Paris Agreement. Nature Climate Change. 8(10). 921–921. 1 indexed citations
15.
Holden, Philip B., Neil R. Edwards, Andy Ridgwell, et al.. (2018). Climate–carbon cycle uncertainties and the Paris Agreement. Nature Climate Change. 8(7). 609–613. 57 indexed citations
16.
Sirunyan, A. M., D. Anderson, Adolf Bornheim, et al.. (2018). Measurement of Jet Substructure Observables in tt¯Events from Proton-Proton Collisions at √s = 13 TeV. Americanae (AECID Library). 3 indexed citations
17.
Wilkinson, R., Apostolos Kapranas, & Ian C.W. Hardy. (2016). Detecting non-binomial sex allocation when developmental mortality operates. Journal of Theoretical Biology. 408. 167–178. 3 indexed citations
18.
Crucifix, Michel, et al.. (2015). Global sensitivity analysis of the climate–vegetation system to astronomical forcing: an emulator-based approach. Earth System Dynamics. 6(1). 205–224. 22 indexed citations
19.
Wilkinson, R., et al.. (2013). L'égalité c'est mieux : pourquoi les écarts de richesses ruinent nos sociétés. 4 indexed citations
20.
Wilkinson, R.. (2013). Approximate Bayesian computation (ABC) gives exact results under the assumption of model error. Statistical Applications in Genetics and Molecular Biology. 12(2). 129–41. 116 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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