Sarah E. Heaps
Impact in
- Parasitology top 10%
- Parasitic Infections and Diagnostics
- Paleontology top 10%
- Evolution and Paleontology Studies
Papers in
-
- Evolution and Paleontology Studies 6
- Genetics 6
- Genetic diversity and population structure 6
- Co-authors
- Tom A. Williams (9 shared papers)T. Martin Embley (8 shared papers)Peter G. Foster (2 shared papers)Thijs J. G. Ettema (1 shared paper)Gergely J. Szöllősi (1 shared paper)Anja Spang (1 shared paper)Bastien Boussau (1 shared paper)Richard J. Boys (7 shared papers)
- Journals
- Statistical Modelling (2 papers)Computational Statistics & Data Analysis (2 papers)Clinical Gastroenterology and Hepatology (1 paper)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)Statistics and Computing (1 paper)
- Partner nations
- United KingdomAustraliaSweden
In The Last Decade
Sarah E. Heaps
20 papers receiving 567 citations
Peers
Comparison fields: 5 of 104
- Parasitology 70
- Paleontology 42
- Physical and Theoretical Chemistry 51
- Ecology 128
- Insect Science 56
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-authors
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 173 | |
| 2 | 2020 | 130 | |
| 3 | 2013 | 127 | |
| 4 | 2015 | 47 | |
| 5 | 2014 | 17 | |
| 6 | 2017 | 14 | |
| 7 | 2017 | 12 | |
| 8 | 2015 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2018 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2020 | 6 | |
| 13 | 2016 | 4 | |
| 14 | 2014 | 4 | |
| 15 | 2023 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2013 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2019 | 1 |
About Sarah E. Heaps
Sarah E. Heaps is a scholar working on Paleontology, Genetics, Statistics and Probability, Artificial Intelligence and Molecular Biology, having authored 21 papers that have together received 574 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Genetic diversity and population structure (6 papers), Evolution and Paleontology Studies (6 papers), Bayesian Methods and Mixture Models (4 papers), Meteorological Phenomena and Simulations (2 papers), Statistical Methods and Bayesian Inference (2 papers), Climate variability and models (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Parasitology (70 citations), Paleontology (42 citations), Physical and Theoretical Chemistry (51 citations), Ecology (128 citations) and Insect Science (56 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, Thijs J. G. Ettema, Gergely J. Szöllősi, Anja Spang, Bastien Boussau, Richard J. Boys, Tom M. W. Nye and Robert P. Hirt. Their work appears in journals such as Statistical Modelling, Computational Statistics & Data Analysis, Clinical Gastroenterology and Hepatology, Philosophical Transactions of the Royal Society B Biological Sciences 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.