Barbara Feldmeyer

2.8k citations
77 papers · 1.7k · 1 hit paper · h-index 24

Impact in

Papers in

Barbara Feldmeyer

72 papers receiving 1.7k citations

Barbara Feldmeyer's Hit Papers

Evolutionary genomics can improve prediction of species’ responses to climate change 2020 · 198 citations
1980+2+4Years since publication50100150

Peers

Barbara Feldmeyer
Comparison fields: 5 of 97
  • Insect Science 538
  • Ecology, Evolution, Behavior and Systematics 759
  • Genetics 1.0k
  • Ecological Modeling 149
  • Aging 30
Replace Shawn M. Wilder with:
Shawn M. Wilder United States
Brandon S. Cooper United States
R. Craig Stillwell United States
Patrick O’Grady United States
Maaria Kankare Finland
Alan O. Bergland United States
Graham J. Holloway United Kingdom
Carole M. Smadja France
Nathan E. Rank United States
Catherine R. Linnen United States
Barbara Feldmeyer relative to Shawn M. Wilder United States Shawn M. Wilder's profile →
Citations per field
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Citations per year

Countries citing papers authored by Barbara Feldmeyer

Since Specialization
Citations

This map shows the geographic impact of Barbara Feldmeyer'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 Barbara Feldmeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Feldmeyer more than expected).

Fields of papers citing papers by Barbara Feldmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara Feldmeyer. 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 Barbara Feldmeyer. The network helps show where Barbara Feldmeyer may publish in the future.

Co-authors

The 25 scholars most cited alongside Barbara Feldmeyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Barbara Feldmeyer Line = papers co-authored together Barbara Feldmeyer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evolutionary genomics can improve prediction of species’ responses to climate change
Hit paper breakdown →
2020198
2 2011124
3 2010121
4 201391
5 201765
6 201860
7 201155
8 201754
9 201849
10 202143
11 201741
12 201538
13 200537
14 202133
15 201731
16 201029
17 201929
18 201828
19 202127
20 201826

About Barbara Feldmeyer

Barbara Feldmeyer is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Insect Science, Ecology and Cellular and Molecular Neuroscience, having authored 77 papers that have together received 1.7k indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (43 papers), Plant and animal studies (31 papers), Animal Behavior and Reproduction (17 papers), Neurobiology and Insect Physiology Research (14 papers), Genetic diversity and population structure (10 papers), Insect and Pesticide Research (10 papers), Genomics and Phylogenetic Studies (7 papers) and Insect symbiosis and bacterial influences (7 papers). The work is most often cited by research in Insect Science (538 citations), Ecology, Evolution, Behavior and Systematics (759 citations), Genetics (1.0k citations), Ecological Modeling (149 citations) and Aging (30 citations). Barbara Feldmeyer has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Susanne Foitzik, Markus Pfenninger, Florian Menzel, Ann‐Marie Waldvogel, D. Elsner, Ido Pen, Philip Kohlmeier, Björn Rotter, Nicolas Krezdorn and Christophe Pampoulie. Their work appears in journals such as Molecular Ecology, Ecology and Evolution, BMC Evolutionary Biology, BMC Genomics and Scientific Reports.

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.

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