Sarah E. Heaps
- Parasitology top 10%
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- Evolution and Paleontology Studies 3
- Insect Science top 10%
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- Genomics and Phylogenetic Studies 5
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- Bayesian Methods and Mixture Models 4
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- Genetic diversity and population structure 3
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- Statistical Methods and Bayesian Inference 2
- Statistical Methods and Inference 2
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- Hydrology and Drought Analysis 2
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- Meteorological Phenomena and Simulations 2
- Co-authors
- Tom A. WilliamsT. Martin EmbleyPeter G. FosterGergely J. SzöllősiThijs J. G. EttemaBastien BoussauAnja SpangRichard J. Boys
- Journals
- Computational Statistics & Data Analysis (2 papers)Chem (1 paper)Clinical Gastroenterology and Hepatology (1 paper)
- Partner nations
- United KingdomAustraliaSweden
In The Last Decade
Sarah E. Heaps
16 papers receiving 502 citations
Peers
Comparison fields: 5 of 104
- Parasitology 68
- Physical and Theoretical Chemistry 48
- Ecology 121
- Paleontology 32
- Insect Science 52
Countries citing papers authored by Sarah E. Heaps
This map shows the geographic impact of Sarah E. Heaps'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 Sarah E. Heaps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah E. Heaps more than expected).
Fields of papers citing papers by Sarah E. Heaps
This network shows the impact of papers produced by Sarah E. Heaps. 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 Sarah E. Heaps. The network helps show where Sarah E. Heaps may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sarah E. Heaps, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 9 | |
| 6 | 2020 | 6 | |
| 7 | 2020 | 115 | |
| 8 | 2020 | 1 | |
| 9 | 2018 | 7 | |
| 10 | 2017 | 13 | |
| 11 | 2017 | 155 | |
| 12 | 2017 | 9 | |
| 13 | 2016 | 4 | |
| 14 | 2015 | 9 | |
| 15 | 2015 | 42 | |
| 16 | 2014 | 14 | |
| 17 | 2013 | 110 | |
| 18 | 2013 | 1 |
About Sarah E. Heaps
Sarah E. Heaps is a scholar working on Paleontology, Statistics and Probability, Artificial Intelligence, Endocrinology and Parasitology, having authored 18 papers that have together received 504 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Bayesian Methods and Mixture Models (4 papers), Evolution and Paleontology Studies (3 papers), Genetic diversity and population structure (3 papers), Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers), Hydrology and Drought Analysis (2 papers) and Meteorological Phenomena and Simulations (2 papers). The work is most often cited by research in Parasitology (68 citations), Physical and Theoretical Chemistry (48 citations), Ecology (121 citations), Paleontology (32 citations) and Insect Science (52 citations). Sarah E. Heaps has collaborated with scholars based in United Kingdom, Australia and Sweden. Frequent co-authors include Tom A. Williams, T. Martin Embley, Peter G. Foster, Gergely J. Szöllősi, Thijs J. G. Ettema, Bastien Boussau, Anja Spang, Richard J. Boys, Michael J. Hall and Jonathan W. Steed. Their work appears in journals such as Computational Statistics & Data Analysis, Chem, Clinical Gastroenterology and Hepatology, Genome Biology and Evolution and Statistics and Computing.
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.