Andrew Hoegh
Impact in
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- Teaching and Learning Programming
Papers in
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- Data Analysis with R 5
- Bayesian Methods and Mixture Models 5
- Gaussian Processes and Bayesian Inference 3
- Ecology 10
- Wildlife Ecology and Conservation 4
- Environmental DNA in Biodiversity Studies 3
- Co-authors
- Barbara Moskal (1 shared paper)Alison J. Peel (6 shared papers)Wyatt Madden (3 shared papers)Raina K. Plowright (5 shared papers)J Giles (1 shared paper)Peter J. Hudson (1 shared paper)Peggy Eby (2 shared papers)Scotland Leman (9 shared papers)
- Journals
- Ecology and Evolution (2 papers)Global Ecology and Conservation (2 papers)Methods in Ecology and Evolution (2 papers)Journal of Agricultural Biological and Environmental Statistics (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesAustraliaBrazil
In The Last Decade
Andrew Hoegh
24 papers receiving 380 citations
Andrew Hoegh's Hit Papers
Peers
Comparison fields: 5 of 94
- Computer Science Applications 53
- Ecological Modeling 24
- Infectious Diseases 88
- Modeling and Simulation 22
- Ecology 89
Countries citing papers authored by Andrew Hoegh
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
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-authors
The 25 scholars most cited alongside Andrew Hoegh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pathogen spillover driven by rapid changes in bat ecology Hit paper breakdown → | 2022 | 155 |
| 2 | 2009 | 66 | |
| 3 | 2020 | 20 | |
| 4 | 2016 | 18 | |
| 5 | 2015 | 17 | |
| 6 | 2020 | 17 | |
| 7 | 2020 | 16 | |
| 8 | 2021 | 11 | |
| 9 | 2020 | 11 | |
| 10 | 2015 | 11 | |
| 11 | 2016 | 9 | |
| 12 | 2015 | 9 | |
| 13 | 2015 | 7 | |
| 14 | 2019 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2021 | 2 | |
| 20 | 2017 | 2 |
About Andrew Hoegh
Andrew Hoegh is a scholar working on Artificial Intelligence, Ecology, Statistics and Probability, Infectious Diseases and Nature and Landscape Conservation, having authored 33 papers that have together received 396 indexed citations. Recurring topics across this work include Data Analysis with R (5 papers), Bayesian Methods and Mixture Models (5 papers), Wildlife Ecology and Conservation (4 papers), COVID-19 epidemiological studies (4 papers), Statistics Education and Methodologies (3 papers), Gaussian Processes and Bayesian Inference (3 papers), Environmental DNA in Biodiversity Studies (3 papers) and Point processes and geometric inequalities (2 papers). The work is most often cited by research in Computer Science Applications (53 citations), Ecological Modeling (24 citations), Infectious Diseases (88 citations), Modeling and Simulation (22 citations) and Ecology (89 citations). Andrew Hoegh has collaborated with scholars based in United States, Australia and Brazil. Frequent co-authors include Barbara Moskal, Alison J. Peel, Wyatt Madden, Raina K. Plowright, J Giles, Peter J. Hudson, Peggy Eby, Scotland Leman, Adam J. Sepulveda and Paul L. Angermeier. Their work appears in journals such as Ecology and Evolution, Global Ecology and Conservation, Methods in Ecology and Evolution, Journal of Agricultural Biological and Environmental Statistics and Nature Communications.
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.