Andrew Hoegh

643 total citations · 1 hit paper
32 papers, 373 citations indexed

About

Andrew Hoegh is a scholar working on Artificial Intelligence, Ecology and Statistics and Probability. According to data from OpenAlex, Andrew Hoegh has authored 32 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Ecology and 6 papers in Statistics and Probability. Recurrent topics in Andrew Hoegh's work include Bayesian Methods and Mixture Models (5 papers), Data Analysis with R (5 papers) and COVID-19 epidemiological studies (4 papers). Andrew Hoegh is often cited by papers focused on Bayesian Methods and Mixture Models (5 papers), Data Analysis with R (5 papers) and COVID-19 epidemiological studies (4 papers). Andrew Hoegh collaborates with scholars based in United States, Australia and Brazil. Andrew Hoegh's co-authors include Barbara Moskal, Peter J. Hudson, Raina K. Plowright, Peggy Eby, J Giles, Alison J. Peel, Scotland Leman, Paul L. Angermeier, Emmanuel A. Frimpong and Adam J. Sepulveda and has published in prestigious journals such as Nature, Nature Communications and Technometrics.

In The Last Decade

Andrew Hoegh

24 papers receiving 358 citations

Hit Papers

Pathogen spillover driven by rapid changes in bat ecology 2022 2026 2023 2024 2022 40 80 120
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. Pathogen spillover driven by rapid changes in bat ecology
    2022 138 citations Peggy Eby, Alison J. Peel et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Hoegh United States 10 91 88 74 53 52 32 373
Nils T. Hagen Norway 17 17 0.2× 277 3.1× 33 0.4× 14 0.3× 119 2.3× 30 925
Derek Huntley United Kingdom 10 49 0.5× 39 0.4× 51 0.7× 27 0.5× 22 0.4× 17 859
Ruth Little United Kingdom 11 23 0.3× 73 0.8× 47 0.6× 5 0.1× 38 0.7× 28 466
Valeria Ramírez‐Castañeda United States 8 7 0.1× 26 0.3× 54 0.7× 7 0.1× 43 0.8× 12 435
Tess L. Killpack United States 11 34 0.4× 66 0.8× 14 0.2× 3 0.1× 10 0.2× 16 295
José Antonio Marcos Spain 11 14 0.2× 49 0.6× 19 0.3× 55 1.0× 35 0.7× 25 359
Laura Cowen Canada 12 36 0.4× 181 2.1× 16 0.2× 32 0.6× 93 1.8× 44 472
Darlene Cavalier United States 9 6 0.1× 66 0.8× 28 0.4× 28 0.5× 31 0.6× 18 458
Amanda E. Sorensen United States 12 9 0.1× 39 0.4× 42 0.6× 10 0.2× 43 0.8× 38 388
Savi Maharaj United Kingdom 8 22 0.2× 53 0.6× 25 0.3× 8 0.2× 17 0.3× 24 439

Countries citing papers authored by Andrew Hoegh

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Hoegh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Hoegh

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Hoegh. A scholar is included among the top collaborators of Andrew Hoegh 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 Andrew Hoegh. Andrew Hoegh 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.
Wray, Amy K., et al.. (2025). Predicting bat roosts in bridges using Bayesian Additive Regression Trees. Global Ecology and Conservation. 60. e03551–e03551.
2.
Peel, Alison J., Manuel Ruiz‐Aravena, Caylee Falvo, et al.. (2025). Synchronized seasonal excretion of multiple coronaviruses coincides with high rates of coinfection in immature bats. Nature Communications. 16(1). 6579–6579.
3.
Hoegh, Andrew, et al.. (2025). Bridging hosts: Domestic horse density and Hendra virus spillover risk in a changing landscape. Equine Veterinary Journal. 58(2). 549–563.
4.
Hoegh, Andrew, et al.. (2024). Clustering and unconstrained ordination with Dirichlet process mixture models. Methods in Ecology and Evolution. 15(9). 1720–1732. 1 indexed citations
5.
Eby, Peggy, Alison J. Peel, Andrew Hoegh, et al.. (2022). Pathogen spillover driven by rapid changes in bat ecology. Nature. 613(7943). 340–344. 138 indexed citations breakdown →
6.
Sepulveda, Adam J., et al.. (2022). An initial assessment of plankton tow detection probabilities for dreissenid mussels in the western United States. Management of Biological Invasions. 13(4). 659–878.
7.
Hoegh, Andrew, et al.. (2021). Not just normal: Exploring power with Shiny apps. 13(1). 2 indexed citations
8.
Sepulveda, Adam J., et al.. (2021). Integrating Environmental DNA Results With Diverse Data Sets to Improve Biosurveillance of River Health. Frontiers in Ecology and Evolution. 9. 11 indexed citations
9.
Hoegh, Andrew, Alison J. Peel, Manuel Ruiz‐Aravena, et al.. (2021). Estimating viral prevalence with data fusion for adaptive two‐phase pooled sampling. Ecology and Evolution. 11(20). 14012–14023. 4 indexed citations
10.
Sepulveda, Adam J., et al.. (2020). msocc: Fit and analyse computationally efficient multi‐scale occupancy models in r. Methods in Ecology and Evolution. 11(9). 1113–1120. 16 indexed citations
11.
Carroll, Kathleen A., Andrew J. Hansen, Robert M. Inman, Rick L. Lawrence, & Andrew Hoegh. (2020). Testing landscape resistance layers and modeling connectivity for wolverines in the western United States. Global Ecology and Conservation. 23. e01125–e01125. 17 indexed citations
12.
Hoegh, Andrew, et al.. (2019). Assessing spatial and temporal patterns in sagebrush steppe vegetation communities 2012-2018: Grand Teton National Park. 1 indexed citations
13.
Hoegh, Andrew & David W. Roberts. (2019). Evaluating and presenting uncertainty in model‐based unconstrained ordination. Ecology and Evolution. 10(1). 59–69. 5 indexed citations
14.
Louzada, Francisco, Scotland Leman, Andrew Hoegh, et al.. (2016). Contributed Discussion on Article by Pratola. Bayesian Analysis. 11(3).
15.
Hoegh, Andrew, et al.. (2016). Model selection with missing covariates for policy considerations in fox enclosures. Journal of Applied Statistics. 44(15). 2645–2658. 1 indexed citations
16.
Frimpong, Emmanuel A., et al.. (2016). Recent Changes in Stream Flashiness and Flooding, and Effects of Flood Management in North Carolina and Virginia. JAWRA Journal of the American Water Resources Association. 52(3). 561–577. 18 indexed citations
17.
Leman, Scotland, Leanna House, & Andrew Hoegh. (2015). Developing a New Interdisciplinary Computational Analytics Undergraduate Program: A Qualitative-Quantitative-Qualitative Approach. The American Statistician. 69(4). 397–408. 11 indexed citations
18.
Hoegh, Andrew, et al.. (2015). Nearest-neighbor matchup effects: accounting for team matchups for predicting March Madness. Journal of Quantitative Analysis in Sports. 11(1). 7 indexed citations
19.
Frimpong, Emmanuel A., et al.. (2015). An empirical assessment of which inland floods can be managed. Journal of Environmental Management. 167. 38–48. 17 indexed citations
20.
Hoegh, Andrew & Barbara Moskal. (2009). Examining science and engineering students' attitudes toward computer science. 1–6. 65 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 Nils T. Hagen Breakdown of academic impact, for papers by Derek Huntley Breakdown of academic impact, for papers by Ruth Little Breakdown of academic impact, for papers by Valeria Ramírez‐Castañeda Breakdown of academic impact, for papers by Tess L. Killpack Breakdown of academic impact, for papers by José Antonio Marcos Breakdown of academic impact, for papers by Laura Cowen Breakdown of academic impact, for papers by Darlene Cavalier Breakdown of academic impact, for papers by Amanda E. Sorensen Breakdown of academic impact, for papers by Savi Maharaj
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