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)Gert Wörheide (4 shared papers)Marcelo R. Sánchez‐Villagra (2 shared papers)Marco Festa‐Bianchet (1 shared paper)Luise Kruckenhauser (1 shared paper)Massimo Scandura (1 shared paper)Marco Apollonio (1 shared paper)Sandro Lovari (1 shared paper)
- Journals
- Mammalian Biology (6 papers)Ecology and Evolution (3 papers)Journal of Zoological Systematics & Evolutionary Research (1 paper)Journal of Mammalian Evolution (1 paper)Molecular Ecology (1 paper)
- Partner nations
- GermanyUnited KingdomIran
In The Last Decade
Eva V. Bärmann
20 papers receiving 501 citations
Peers
Comparison fields: 5 of 50
- Paleontology 248
- Ecological Modeling 63
- Ecology 251
- Anthropology 82
- Genetics 196
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 | 178 | |
| 2 | 2011 | 122 | |
| 3 | 2013 | 51 | |
| 4 | 2013 | 29 | |
| 5 | 2011 | 27 | |
| 6 | 2012 | 22 | |
| 7 | 2012 | 19 | |
| 8 | 2020 | 14 | |
| 9 | 2020 | 10 | |
| 10 | 2014 | 10 | |
| 11 | 2014 | 9 | |
| 12 | 2018 | 9 | |
| 13 | 2014 | 8 | |
| 14 | 2022 | 6 | |
| 15 | 2014 | 5 | |
| 16 | 2024 | 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 533 indexed citations. Recurring topics across this work include Genetic diversity and population structure (11 papers), Wildlife Ecology and Conservation (9 papers), Evolution and Paleontology Studies (9 papers), Animal Diversity and Health Studies (7 papers), Identification and Quantification in Food (4 papers), Pleistocene-Era Hominins and Archaeology (2 papers), Genomics and Phylogenetic Studies (2 papers) and Yersinia bacterium, plague, ectoparasites research (2 papers). The work is most often cited by research in Paleontology (248 citations), Ecological Modeling (63 citations), Ecology (251 citations), Anthropology (82 citations) and Genetics (196 citations). Eva V. Bärmann has collaborated with scholars based in Germany, United Kingdom and Iran. Frequent co-authors include Gertrud E. Rößner, Gert Wörheide, Marcelo R. Sánchez‐Villagra, Marco Festa‐Bianchet, Luise Kruckenhauser, Massimo Scandura, Marco Apollonio, Sandro Lovari, Jan Christian Habel and Frank E. Zachos. Their work appears in journals such as Mammalian Biology, Ecology and Evolution, Journal of Zoological Systematics & Evolutionary Research, Journal of Mammalian Evolution 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.