D. Andrew Brown

1.9k total citations
40 papers, 599 citations indexed

About

D. Andrew Brown is a scholar working on Artificial Intelligence, Ecology and Statistics, Probability and Uncertainty. According to data from OpenAlex, D. Andrew Brown has authored 40 papers receiving a total of 599 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Ecology and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in D. Andrew Brown's work include Probabilistic and Robust Engineering Design (5 papers), Ecology and Vegetation Dynamics Studies (4 papers) and Rangeland and Wildlife Management (4 papers). D. Andrew Brown is often cited by papers focused on Probabilistic and Robust Engineering Design (5 papers), Ecology and Vegetation Dynamics Studies (4 papers) and Rangeland and Wildlife Management (4 papers). D. Andrew Brown collaborates with scholars based in United States, Switzerland and Australia. D. Andrew Brown's co-authors include Stephen D. Hopper, Colin J. Yates, Stephen van Leeuwen, Christopher S. McMahan, L. Berke, Pappu L. N. Murthy, Michael J. Yabsley, Stella Self, Jenna R. Gettings and Brian W. van Wilgen and has published in prestigious journals such as Journal of the American Statistical Association, NeuroImage and Biometrics.

In The Last Decade

D. Andrew Brown

36 papers receiving 541 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Andrew Brown United States 13 179 123 109 86 79 40 599
István Miklós Hungary 12 146 0.8× 132 1.1× 141 1.3× 27 0.3× 141 1.8× 34 792
Shaohua Fan China 15 184 1.0× 77 0.6× 127 1.2× 67 0.8× 77 1.0× 35 1.0k
Graham Jones Sweden 14 86 0.5× 273 2.2× 146 1.3× 376 4.4× 177 2.2× 24 1.3k
Christoph Leuenberger Switzerland 12 90 0.5× 176 1.4× 197 1.8× 25 0.3× 67 0.8× 22 1.0k
Marco A. R. Ferreira United States 15 72 0.4× 60 0.5× 198 1.8× 24 0.3× 33 0.4× 51 951
Frank Enders Germany 15 127 0.7× 356 2.9× 165 1.5× 66 0.8× 37 0.5× 40 827
Nicolas Chaumont United States 5 128 0.7× 143 1.2× 153 1.4× 12 0.1× 70 0.9× 9 500
Liqiang Ji China 14 120 0.7× 166 1.3× 225 2.1× 33 0.4× 163 2.1× 50 730
Denis Krompaß Germany 9 43 0.2× 177 1.4× 246 2.3× 44 0.5× 111 1.4× 15 876
Bastian Pfeifer Austria 12 40 0.2× 103 0.8× 129 1.2× 66 0.8× 228 2.9× 31 1.2k

Countries citing papers authored by D. Andrew Brown

Since Specialization
Citations

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

Fields of papers citing papers by D. Andrew Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Andrew Brown. 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 D. Andrew Brown. The network helps show where D. Andrew Brown may publish in the future.

Co-authorship network of co-authors of D. Andrew Brown

This figure shows the co-authorship network connecting the top 25 collaborators of D. Andrew Brown. A scholar is included among the top collaborators of D. Andrew Brown 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 D. Andrew Brown. D. Andrew Brown 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.
Wang, Zhengxin, et al.. (2024). A fully Bayesian approach for comprehensive mapping of magnitude and phase brain activation in complex-valued fMRI data. Magnetic Resonance Imaging. 109. 271–285. 1 indexed citations
2.
Brown, D. Andrew, et al.. (2024). Construction of a corresponding empirical model to bridge thermal properties and synthesis of thermoresponsive poloxamines. Designed Monomers & Polymers. 27(1). 1–9. 2 indexed citations
3.
Brown, D. Andrew. (2024). Model Selection Through Cross-Validation for Supervised Learning Tasks with Manifold Data. Purdue e-Pubs (Purdue University System). 13(1). 1 indexed citations
4.
5.
Brown, D. Andrew, et al.. (2024). A Bayesian complex-valued latent variable model applied to functional magnetic resonance imaging. Journal of the Royal Statistical Society Series C (Applied Statistics). 74(1). 100–125. 1 indexed citations
6.
Brown, D. Andrew, et al.. (2021). Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging. Journal of the American Statistical Association. 117(538). 547–560. 2 indexed citations
7.
Gettings, Jenna R., Stella Self, Christopher S. McMahan, et al.. (2020). Regional and Local Temporal Trends of Borrelia burgdorferi and Anaplasma spp. Seroprevalence in Domestic Dogs: Contiguous United States 2013–2019. Frontiers in Veterinary Science. 7. 561592–561592. 12 indexed citations
8.
9.
Gettings, Jenna R., Stella Self, Christopher S. McMahan, et al.. (2020). Local and regional temporal trends (2013–2019) of canine Ehrlichia spp. seroprevalence in the USA. Parasites & Vectors. 13(1). 153–153. 21 indexed citations
10.
Self, Stella, et al.. (2019). Regional and local temporal trends in the prevalence of canine heartworm infection in the contiguous United States: 2012–2018. Parasites & Vectors. 12(1). 380–380. 25 indexed citations
11.
12.
Brown, D. Andrew, et al.. (2018). Low-Rank Independence Samplers in Hierarchical Bayesian Inverse Problems. SIAM/ASA Journal on Uncertainty Quantification. 6(3). 1076–1100. 7 indexed citations
13.
Brown, D. Andrew, et al.. (2017). The risk of extinction for birds in Great Britain. UCL Discovery (University College London). 12 indexed citations
14.
Brown, D. Andrew, Nicole A. Lazar, Gauri Sankar Datta, Woncheol Jang, & Jennifer E. McDowell. (2013). Incorporating spatial dependence into Bayesian multiple testing of statistical parametric maps in functional neuroimaging. NeuroImage. 84. 97–112. 10 indexed citations
15.
Roura‐Pascual, Núria, David M. Richardson, Rainer M. Krug, et al.. (2009). Ecology and management of alien plant invasions in South African fynbos: Accommodating key complexities in objective decision making. Biological Conservation. 142(8). 1595–1604. 98 indexed citations
16.
Cheek, Martin, et al.. (2008). Gymnosiphon marieae sp. nov. (Burmanniaceae) from Madagascar, a species with tepal‐mediated stigmatic extension. Nordic Journal of Botany. 26(3-4). 230–234. 3 indexed citations
17.
Hokit, D. Grant & D. Andrew Brown. (2006). DISTRIBUTION PATTERNS OF WOOD FROGS (RANA SYLVATICA) IN DENALI NATIONAL PARK. Northwestern Naturalist. 87(2). 128–137. 5 indexed citations
18.
Hopper, Stephen D. & D. Andrew Brown. (2006). Contributions to Western Australian orchidology: 3. New and reinstated taxa in Eriochilus. Biodiversity Heritage Library (Smithsonian Institution). 1 indexed citations
19.
Brown, D. Andrew, Lorenz Minder, & Amin Shokrollahi. (2004). Probabilistic decoding of interleaved RS-codes on the q-ary symmetric channel. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 326–326. 17 indexed citations
20.
Brown, D. Andrew, Pappu L. N. Murthy, & L. Berke. (1991). Engineering Mechanics Conference. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 6 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by István Miklós Breakdown of academic impact, for papers by Shaohua Fan Breakdown of academic impact, for papers by Graham Jones Breakdown of academic impact, for papers by Christoph Leuenberger Breakdown of academic impact, for papers by Marco A. R. Ferreira Breakdown of academic impact, for papers by Frank Enders Breakdown of academic impact, for papers by Nicolas Chaumont Breakdown of academic impact, for papers by Liqiang Ji Breakdown of academic impact, for papers by Denis Krompaß Breakdown of academic impact, for papers by Bastian Pfeifer
Rankless by CCL
2026