Daniel Simpson

8.5k total citations · 6 hit papers
57 papers, 4.3k citations indexed

About

Daniel Simpson is a scholar working on Artificial Intelligence, Environmental Engineering and Statistics and Probability. According to data from OpenAlex, Daniel Simpson has authored 57 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 18 papers in Environmental Engineering and 17 papers in Statistics and Probability. Recurrent topics in Daniel Simpson's work include Soil Geostatistics and Mapping (15 papers), Statistical Methods and Bayesian Inference (13 papers) and Bayesian Methods and Mixture Models (10 papers). Daniel Simpson is often cited by papers focused on Soil Geostatistics and Mapping (15 papers), Statistical Methods and Bayesian Inference (13 papers) and Bayesian Methods and Mixture Models (10 papers). Daniel Simpson collaborates with scholars based in United Kingdom, United States and Norway. Daniel Simpson's co-authors include Håvard Rue, Finn Lindgren, Andrea Riebler, Sigrunn H. Sørbye, Andrew Gelman, Thiago G. Martins, Michael Betancourt, Aki Vehtari, Janine Illian and Jonah Gabry and has published in prestigious journals such as Journal of the American Statistical Association, Environmental Science & Technology and Chemistry - A European Journal.

In The Last Decade

Daniel Simpson

53 papers receiving 4.2k citations

Hit Papers

Penalising Model Component Complexity: A Principled, Prac... 2013 2026 2017 2021 2017 2019 2017 2013 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Simpson United Kingdom 20 680 671 643 619 617 57 4.3k
Sara Martino Norway 13 811 1.2× 567 0.8× 545 0.8× 494 0.8× 681 1.1× 28 3.9k
Nicolás Chopin France 32 1.2k 1.8× 518 0.8× 465 0.7× 459 0.7× 671 1.1× 104 6.9k
Brian J. Reich United States 39 1.3k 1.9× 867 1.3× 681 1.1× 768 1.2× 844 1.4× 214 5.3k
Jennifer A. Hoeting United States 22 1.1k 1.6× 706 1.1× 692 1.1× 534 0.9× 698 1.1× 54 5.2k
Finn Lindgren United Kingdom 23 797 1.2× 1.2k 1.8× 1.0k 1.6× 1.6k 2.6× 1.0k 1.6× 67 5.6k
Thomas Kneib Germany 40 1.8k 2.6× 744 1.1× 875 1.4× 704 1.1× 928 1.5× 211 7.3k
Carolin Strobl Germany 25 666 1.0× 1.1k 1.6× 1.3k 2.0× 846 1.4× 282 0.5× 70 9.0k
Rana Moyeed United Kingdom 20 885 1.3× 449 0.7× 470 0.7× 857 1.4× 676 1.1× 32 4.0k
Virgilio Gómez‐Rubio Spain 22 215 0.3× 988 1.5× 1.1k 1.7× 602 1.0× 666 1.1× 54 5.0k
Stephen L. Rathbun United States 26 308 0.5× 773 1.2× 1.1k 1.8× 766 1.2× 310 0.5× 84 4.7k

Countries citing papers authored by Daniel Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Simpson

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Simpson. A scholar is included among the top collaborators of Daniel Simpson 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 Daniel Simpson. Daniel Simpson 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.
Cresswell, Jenny A., Monica Alexander, Doris Chou, et al.. (2025). Global and regional causes of maternal deaths 2009–20: a WHO systematic analysis. The Lancet Global Health. 13(4). e626–e634. 39 indexed citations breakdown →
2.
Simpson, Daniel, et al.. (2024). Thermodynamic linear algebra. 1(1). 9 indexed citations
3.
Simpson, Daniel, et al.. (2024). Explainable Deep Learning Models for Dynamic and Online Malware Classification. 182–189. 1 indexed citations
4.
Simpson, Daniel. (2023). Navigating the Customs House, Then and Now: A Synthesis of British Colonial Collecting in Australia, 1788–1823. Australian Historical Studies. 55(1). 134–157.
6.
Simpson, Daniel, Kathryn Hoffman, Diane E. Merry, et al.. (2023). Increased SIRT3 combined with PARP inhibition rescues motor function of SBMA mice. iScience. 26(8). 107375–107375. 4 indexed citations
7.
Martínez‐Minaya, Joaquín, Finn Lindgren, Antonio López‐Quílez, Daniel Simpson, & David Conesa. (2022). The Integrated Nested Laplace Approximation for Fitting Dirichlet Regression Models. Journal of Computational and Graphical Statistics. 32(3). 805–823. 3 indexed citations
8.
Mengersen, Kerrie, et al.. (2020). Combining Opinions for Use in Bayesian Networks: A Measurement Error Approach. QUT ePrints (Queensland University of Technology). 2 indexed citations
9.
Simpson, Daniel, et al.. (2020). Asynchronous Gibbs Sampling.. International Conference on Artificial Intelligence and Statistics. 144–154. 3 indexed citations
10.
Murray, Nicholas, David A. Keith, Daniel Simpson, John H. Wilshire, & Richard Lucas. (2018). Remap : An online remote sensing application for land cover classification and monitoring. Methods in Ecology and Evolution. 9(9). 2019–2027. 37 indexed citations
11.
Yao, Yuling, Aki Vehtari, Daniel Simpson, & Andrew Gelman. (2018). Yes, but did it work?: Evaluating variational inference. Aaltodoc (Aalto University). 5581–5590. 2 indexed citations
12.
Simpson, Daniel, Håvard Rue, Andrea Riebler, Thiago G. Martins, & Sigrunn H. Sørbye. (2017). You Just Keep on Pushing My Love over the Borderline: A Rejoinder. Statistical Science. 32(1). 1 indexed citations
13.
Fuglstad, Geir‐Arne, Daniel Simpson, Finn Lindgren, & Håvard Rue. (2015). Interpretable Priors for Hyperparameters for Gaussian Random Fields. arXiv (Cornell University). 9 indexed citations
14.
SUTTON, K., et al.. (2014). STI-GMaS: An open-source environment for simulation of sexually-transmitted infections. BIBSYS Brage (BIBSYS (Norway)). 5 indexed citations
15.
SUTTON, K., et al.. (2014). STI-GMaS: an open-source environment for simulation of sexually-transmitted infections. BMC Systems Biology. 8(1). 66–66. 1 indexed citations
16.
Girolami, Mark, Anne-Marie Lyne, Heiko Strathmann, Daniel Simpson, & Yves F. Atchadé. (2013). Playing Russian Roulette with Intractable Likelihoods. arXiv (Cornell University). 9 indexed citations
17.
Martins, Thiago G., Daniel Simpson, Finn Lindgren, & Håvard Rue. (2013). Bayesian computing with INLA: New features. Computational Statistics & Data Analysis. 67. 68–83. 402 indexed citations breakdown →
18.
Cameletti, Michela, Finn Lindgren, Daniel Simpson, & Håvard Rue. (2011). Using the SPDE approach for air qualitymapping in Piemonte region. 2 indexed citations
19.
Simpson, Daniel, Ian Turner, & A. N. Pettitt. (2008). Sampling from a Gaussian Markov random field conditioned on linear constraints. The ANZIAM Journal. 48. 1 indexed citations
20.
Hunter, T.M., I.W. McNae, Daniel Simpson, et al.. (2006). Configurations of Nickel–Cyclam Antiviral Complexes and Protein Recognition. Chemistry - A European Journal. 13(1). 40–50. 44 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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