Sarah Lutteropp
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Paleontology top 10%
- Evolution and Paleontology Studies
Papers in
-
- Genomics and Phylogenetic Studies 8
- Genetics 6
- Genetic diversity and population structure 6
- Co-authors
- Alexandros Stamatakis (8 shared papers)Tomáš Flouri (2 shared papers)Paschalia Kapli (2 shared papers)Kassian Kobert (1 shared paper)Pavlos Pavlidis (1 shared paper)Jian Zhang (1 shared paper)Benoît Morel (3 shared papers)Alexey M. Kozlov (3 shared papers)
- Journals
- Bioinformatics (3 papers)Molecular Ecology Resources (2 papers)Molecular Biology and Evolution (2 papers)Journal of Graph Algorithms and Applications (2 papers)Systematic Biology (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Sarah Lutteropp
8 papers receiving 873 citations
Sarah Lutteropp's Hit Papers
Peers
Comparison fields: 5 of 66
- Ecological Modeling 97
- Paleontology 97
- Aquatic Science 86
- Ecology, Evolution, Behavior and Systematics 219
- Ecology 285
Countries citing papers authored by Sarah Lutteropp
This map shows the geographic impact of Sarah Lutteropp'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 Lutteropp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Lutteropp more than expected).
Fields of papers citing papers by Sarah Lutteropp
This network shows the impact of papers produced by Sarah Lutteropp. 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 Lutteropp. The network helps show where Sarah Lutteropp may publish in the future.
Co-authors
The 25 scholars most cited alongside Sarah Lutteropp, 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 | Multi-rate Poisson tree processes for single-locus species delimitation under maximum likelihood and Markov chain Monte Carlo Hit paper breakdown → | 2017 | 678 |
| 2 | 2020 | 87 | |
| 3 | 2021 | 31 | |
| 4 | 2019 | 30 | |
| 5 | 2022 | 19 | |
| 6 | 2019 | 16 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 9 | |
| 9 | 2015 | 0 | |
| 10 | 2015 | 0 |
About Sarah Lutteropp
Sarah Lutteropp is a scholar working on Molecular Biology, Genetics, Paleontology, Computational Theory and Mathematics and Ecological Modeling, having authored 10 papers that have together received 881 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 (3 papers), Species Distribution and Climate Change (2 papers), Advanced Graph Theory Research (2 papers), Computational Geometry and Mesh Generation (2 papers), 3D Modeling in Geospatial Applications (1 paper) and Optimization and Search Problems (1 paper). The work is most often cited by research in Ecological Modeling (97 citations), Paleontology (97 citations), Aquatic Science (86 citations), Ecology, Evolution, Behavior and Systematics (219 citations) and Ecology (285 citations). Sarah Lutteropp has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Alexandros Stamatakis, Tomáš Flouri, Paschalia Kapli, Kassian Kobert, Pavlos Pavlidis, Jian Zhang, Benoît Morel, Alexey M. Kozlov, Lucas Czech and Pierre Barbera. Their work appears in journals such as Bioinformatics, Molecular Ecology Resources, Molecular Biology and Evolution, Journal of Graph Algorithms and Applications and Systematic Biology.
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.