Eva V. Bärmann
Impact in
- Paleontology top 5%
- Evolution and Paleontology Studies
- Ecological Modeling top 10%
- Species Distribution and Climate Change
Papers in
- Co-authors
- Gertrud E. Rößner (6 shared papers)Marcelo R. Sánchez‐Villagra (2 shared papers)Gert Wörheide (4 shared papers)Frank E. Zachos (1 shared paper)Ursula B. Göhlich (1 shared paper)Cino Pertoldi (1 shared paper)Massimo Scandura (1 shared paper)Allan D. McDevitt (1 shared paper)
- Journals
- Mammalian Biology (6 papers)Ecology and Evolution (3 papers)Journal of Zoological Systematics & Evolutionary Research (1 paper)Scientific Reports (1 paper)Molecular Ecology (1 paper)
- Partner nations
- GermanyUnited KingdomIran
In The Last Decade
Eva V. Bärmann
20 papers receiving 475 citations
Peers
Comparison fields: 5 of 50
- Paleontology 236
- Ecological Modeling 57
- Ecology 240
- Anthropology 78
- Genetics 186
Countries citing papers authored by Eva V. Bärmann
This map shows the geographic impact of Eva V. Bärmann'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 Eva V. Bärmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva V. Bärmann more than expected).
Fields of papers citing papers by Eva V. Bärmann
This network shows the impact of papers produced by Eva V. Bärmann. 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 Eva V. Bärmann. The network helps show where Eva V. Bärmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva V. Bärmann, 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 | 2012 | 159 | |
| 2 | 2011 | 116 | |
| 3 | 2013 | 48 | |
| 4 | 2011 | 27 | |
| 5 | 2013 | 27 | |
| 6 | 2012 | 21 | |
| 7 | 2012 | 19 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 10 | |
| 10 | 2018 | 9 | |
| 11 | 2014 | 9 | |
| 12 | 2014 | 8 | |
| 13 | 2014 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2024 | 4 | |
| 16 | 2014 | 4 | |
| 17 | Revision and phylogeny of Myolaimus Cobb, 1920 (Secernentea, Nematoda) with the description of four new species. | 2009 | 3 |
| 18 | 2021 | 3 | |
| 19 | 2021 | 2 | |
| 20 | 2013 | 2 |
About Eva V. Bärmann
Eva V. Bärmann is a scholar working on Genetics, Ecology, Paleontology, Food Science and Molecular Biology, having authored 21 papers that have together received 498 indexed citations. Recurring topics across this work include Genetic diversity and population structure (12 papers), Evolution and Paleontology Studies (9 papers), Wildlife Ecology and Conservation (9 papers), Animal Diversity and Health Studies (8 papers), Identification and Quantification in Food (4 papers), Genomics and Phylogenetic Studies (3 papers), Genetic and phenotypic traits in livestock (2 papers) and Yersinia bacterium, plague, ectoparasites research (2 papers). The work is most often cited by research in Paleontology (236 citations), Ecological Modeling (57 citations), Ecology (240 citations), Anthropology (78 citations) and Genetics (186 citations). Eva V. Bärmann has collaborated with scholars based in Germany, United Kingdom and Iran. Frequent co-authors include Gertrud E. Rößner, Marcelo R. Sánchez‐Villagra, Gert Wörheide, Frank E. Zachos, Ursula B. Göhlich, Cino Pertoldi, Massimo Scandura, Allan D. McDevitt, Elisabeth Haring and Jan Christian Habel. Their work appears in journals such as Mammalian Biology, Ecology and Evolution, Journal of Zoological Systematics & Evolutionary Research, Scientific Reports and Molecular Ecology.
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.