David Eme
Impact in
- Paleontology top 5%
- Subterranean biodiversity and taxonomy
- Ecological Modeling top 5%
- Species Distribution and Climate Change
Papers in ⓘ
- Ecology 19
- Environmental DNA in Biodiversity Studies 9
- Microbial Community Ecology and Physiology 4
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- Identification and Quantification in Food 7
- Genomics and Phylogenetic Studies 5
- Co-authors
- Florian Malard (13 shared papers)Maja Zagmajster (4 shared papers)Cene Fišer (4 shared papers)Fabio Stoch (4 shared papers)Christophe J. Douady (10 shared papers)Jean‐François Cornu (2 shared papers)Lara Konecny‐Dupré (8 shared papers)Diana M. P. Galassi (3 shared papers)
- Journals
- Ecography (4 papers)Environmental DNA (3 papers)Global Ecology and Biogeography (2 papers)Freshwater Science (1 paper)Ecological Indicators (1 paper)
- Partner nations
- FranceNew ZealandSwitzerland
In The Last Decade
David Eme
29 papers receiving 772 citations
Peers
Comparison fields: 5 of 54
- Paleontology 254
- Ecological Modeling 97
- Ecology 536
- Nature and Landscape Conservation 170
- Oceanography 116
Countries citing papers authored by David Eme
This map shows the geographic impact of David Eme'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 David Eme with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Eme more than expected).
Fields of papers citing papers by David Eme
This network shows the impact of papers produced by David Eme. 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 David Eme. The network helps show where David Eme may publish in the future.
Co-authors
The 25 scholars most cited alongside David Eme, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 113 | |
| 2 | 2020 | 90 | |
| 3 | 2017 | 76 | |
| 4 | 2015 | 66 | |
| 5 | 2017 | 63 | |
| 6 | 2021 | 54 | |
| 7 | 2014 | 40 | |
| 8 | 2013 | 29 | |
| 9 | 2015 | 25 | |
| 10 | 2013 | 24 | |
| 11 | 2020 | 23 | |
| 12 | 2013 | 23 | |
| 13 | 2019 | 22 | |
| 14 | 2021 | 21 | |
| 15 | 2023 | 20 | |
| 16 | 2017 | 18 | |
| 17 | 2022 | 14 | |
| 18 | 2022 | 12 | |
| 19 | 2019 | 12 | |
| 20 | 2020 | 8 |
About David Eme
David Eme is a scholar working on Ecology, Molecular Biology, Genetics, Nature and Landscape Conservation and Ecological Modeling, having authored 31 papers that have together received 782 indexed citations. Recurring topics across this work include Genetic diversity and population structure (10 papers), Environmental DNA in Biodiversity Studies (9 papers), Species Distribution and Climate Change (8 papers), Identification and Quantification in Food (7 papers), Fish Ecology and Management Studies (6 papers), Genomics and Phylogenetic Studies (5 papers), Marine and fisheries research (4 papers) and Microbial Community Ecology and Physiology (4 papers). The work is most often cited by research in Paleontology (254 citations), Ecological Modeling (97 citations), Ecology (536 citations), Nature and Landscape Conservation (170 citations) and Oceanography (116 citations). David Eme has collaborated with scholars based in France, New Zealand and Switzerland. Frequent co-authors include Florian Malard, Maja Zagmajster, Cene Fišer, Fabio Stoch, Christophe J. Douady, Jean‐François Cornu, Lara Konecny‐Dupré, Diana M. P. Galassi, Pierre Marmonier and Libby Liggins. Their work appears in journals such as Ecography, Environmental DNA, Global Ecology and Biogeography, Freshwater Science and Ecological Indicators.
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.