Sarah Lutteropp
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Paleontology top 10%
Papers in
-
- Genomics and Phylogenetic Studies 7
- Genetics 3
- Genetic diversity and population structure 3
- Co-authors
- Alexandros Stamatakis (8 shared papers)Paschalia Kapli (2 shared papers)Tomáš Flouri (2 shared papers)Pavlos Pavlidis (1 shared paper)Jian Zhang (1 shared paper)Kassian Kobert (1 shared paper)Benoît Morel (3 shared papers)Alexey M. Kozlov (3 shared papers)
- Journals
- Bioinformatics (3 papers)Molecular Biology and Evolution (2 papers)Journal of Graph Algorithms and Applications (2 papers)Molecular Ecology Resources (2 papers)Systematic Biology (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Sarah Lutteropp
11 papers receiving 932 citations
Sarah Lutteropp's Hit Papers
Peers
Comparison fields: 5 of 70
- Ecological Modeling 97
- Paleontology 96
- Aquatic Science 90
- Ecology, Evolution, Behavior and Systematics 225
- Genetics 304
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 | 712 |
| 2 | 2020 | 92 | |
| 3 | 2021 | 37 | |
| 4 | 2019 | 32 | |
| 5 | 2022 | 24 | |
| 6 | 2019 | 16 | |
| 7 | 2021 | 12 | |
| 8 | 2020 | 9 | |
| 9 | 2017 | 3 | |
| 10 | 2015 | 1 | |
| 11 | 2014 | 1 | |
| 12 | 2015 | 0 |
About Sarah Lutteropp
Sarah Lutteropp is a scholar working on Molecular Biology, Genetics, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Ecological Modeling, having authored 12 papers that have together received 939 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Computational Geometry and Mesh Generation (3 papers), Genetic diversity and population structure (3 papers), Species Distribution and Climate Change (2 papers), Advanced Graph Theory Research (2 papers), 3D Modeling in Geospatial Applications (2 papers), Network Packet Processing and Optimization (1 paper) and Microbial Community Ecology and Physiology (1 paper). The work is most often cited by research in Ecological Modeling (97 citations), Paleontology (96 citations), Aquatic Science (90 citations), Ecology, Evolution, Behavior and Systematics (225 citations) and Genetics (304 citations). Sarah Lutteropp has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Alexandros Stamatakis, Paschalia Kapli, Tomáš Flouri, Pavlos Pavlidis, Jian Zhang, Kassian Kobert, Benoît Morel, Alexey M. Kozlov, Lucas Czech and Pierre Barbera. Their work appears in journals such as Bioinformatics, Molecular Biology and Evolution, Journal of Graph Algorithms and Applications, Molecular Ecology Resources 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.