Robert G. Aykroyd

1.7k total citations
72 papers, 1.1k citations indexed

About

Robert G. Aykroyd is a scholar working on Electrical and Electronic Engineering, Statistics and Probability and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Robert G. Aykroyd has authored 72 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 15 papers in Statistics and Probability and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Robert G. Aykroyd's work include Electrical and Bioimpedance Tomography (15 papers), Medical Imaging Techniques and Applications (13 papers) and Advanced X-ray and CT Imaging (11 papers). Robert G. Aykroyd is often cited by papers focused on Electrical and Bioimpedance Tomography (15 papers), Medical Imaging Techniques and Applications (13 papers) and Advanced X-ray and CT Imaging (11 papers). Robert G. Aykroyd collaborates with scholars based in United Kingdom, United States and Chile. Robert G. Aykroyd's co-authors include A. M. Pollard, D. Lucy, Víctor Leiva, Tore Solheim, Miguel Ángel Uribe-Opazo, Stelios Zimeras, Charlotte A. Roberts, Fabrizio Ruggeri, David Lucy and Helton Saulo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Robert G. Aykroyd

67 papers receiving 1.1k citations

Peers

Robert G. Aykroyd
Nick Fieller United Kingdom
William Siler United States
Rina Foygel Barber United States
Roger D. Woodard United States
Ida Ruts Belgium
Nick Fieller United Kingdom
Robert G. Aykroyd
Citations per year, relative to Robert G. Aykroyd Robert G. Aykroyd (= 1×) peers Nick Fieller

Countries citing papers authored by Robert G. Aykroyd

Since Specialization
Citations

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

Fields of papers citing papers by Robert G. Aykroyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert G. Aykroyd. 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 Robert G. Aykroyd. The network helps show where Robert G. Aykroyd may publish in the future.

Co-authorship network of co-authors of Robert G. Aykroyd

This figure shows the co-authorship network connecting the top 25 collaborators of Robert G. Aykroyd. A scholar is included among the top collaborators of Robert G. Aykroyd 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 Robert G. Aykroyd. Robert G. Aykroyd 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.
Aykroyd, Robert G., et al.. (2024). Mixture prior distributions and Bayesian models for robust radionuclide image processing. SHILAP Revista de lepidopterología. 4. 1380518–1380518.
2.
Aykroyd, Robert G., et al.. (2024). A variational inference framework for inverse problems. Computational Statistics & Data Analysis. 202. 108055–108055. 2 indexed citations
3.
Karakatsanis, Nicolas A., Jacobo Cal-González, Rachael O. Forsythe, et al.. (2020). Comparison of Correction Techniques for the Spillin Effect in Emission Tomography. IEEE Transactions on Radiation and Plasma Medical Sciences. 4(4). 422–432. 11 indexed citations
4.
Karakatsanis, Nicolas A., Rachael O. Forsythe, Marc R. Dweck, et al.. (2019). Iterative reconstruction incorporating background correction improves quantification of [18F]-NaF PET/CT images of patients with abdominal aortic aneurysm. Journal of Nuclear Cardiology. 28(5). 1875–1886. 9 indexed citations
5.
Leiva, Víctor, et al.. (2018). Birnbaum-Saunders spatial regression models: Diagnostics and application to chemical data. Chemometrics and Intelligent Laboratory Systems. 177. 114–128. 50 indexed citations
6.
Aykroyd, Robert G.. (2018). A statistical approach to the inclusion of electrode contact impedance uncertainty in electrical tomography reconstruction. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 31(1). 56–67. 1 indexed citations
7.
Karakatsanis, Nicolas A., Philip M. Robson, Nikos Efthimiou, et al.. (2018). Effect of PET-MR Inconsistency in the Kernel Image Reconstruction Method. IEEE Transactions on Radiation and Plasma Medical Sciences. 3(4). 400–409. 22 indexed citations
8.
Aykroyd, Robert G., et al.. (2017). Detection of multiple rigid inclusions from ERT data using the complete-electrode model. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 30(4). 64–86. 1 indexed citations
9.
Karakatsanis, Nicolas A., Philip M. Robson, Nikos Efthimiou, et al.. (2017). Hybrid PET-MR list-mode kernelized expectation maximization reconstruction for quantitative PET images of the carotid arteries. 4. 1–7. 4 indexed citations
10.
Aykroyd, Robert G., Brian A. Cattle, & Robert West. (2016). Statistical Estimation of Interface-boundary Shapes from Electrical Impedance Tomographic Measurements.. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 29(3). 1–18. 1 indexed citations
13.
West, Robert, et al.. (2006). Speed improvement of MCMC image reconstruction in tomography by partial linearization. Environmental Management. 4(4). 13–23. 3 indexed citations
14.
Aykroyd, Robert G., Manuchehr Soleimani, & William Lionheart. (2006). Conditional Bayes reconstruction for ERT data using resistance monotonicity information. Measurement Science and Technology. 17(9). 2405–2413. 6 indexed citations
15.
West, Robert, Robert G. Aykroyd, Meng Sha, & R.A. Williams. (2004). Markov chain Monte Carlo techniques and spatial–temporal modelling for medical EIT. Physiological Measurement. 25(1). 181–194. 23 indexed citations
16.
Lucy, D., Robert G. Aykroyd, & A. M. Pollard. (2002). Nonparametric Calibration for Age Estimation. Journal of the Royal Statistical Society Series C (Applied Statistics). 51(2). 183–196. 46 indexed citations
17.
Aykroyd, Robert G. & Stelios Zimeras. (1999). Inhomogeneous Prior Models for Image Reconstruction. Journal of the American Statistical Association. 94(447). 934–946. 29 indexed citations
18.
Aykroyd, Robert G., D. Lucy, A. M. Pollard, & Tore Solheim. (1997). Technical note: Regression analysis in adult age estimation. American Journal of Physical Anthropology. 104(2). 259–265. 135 indexed citations
19.
Aykroyd, Robert G.. (1995). Partition Models in the Analysis of Autoradiographic Images. Journal of the Royal Statistical Society Series C (Applied Statistics). 44(4). 441–441. 1 indexed citations
20.
Aykroyd, Robert G., et al.. (1991). Global and local priors, and the location of lesions using gamma-camera imagery. Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences. 337(1647). 323–342. 33 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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