E. M. Barratt

1.6k citations
13 papers · 1.1k · h-index 13

Impact in

Papers in

E. M. Barratt

13 papers receiving 1.0k citations

Peers

E. M. Barratt
Comparison fields: 5 of 57
  • Developmental Biology 121
  • Ecological Modeling 228
  • Ecology, Evolution, Behavior and Systematics 648
  • Ecology 698
  • Genetics 523
Replace Pavel Hulva with:
Pavel Hulva Czechia
Juan F. Beltrán Spain
Keping Sun China
Peter Kaňuch Slovakia
Chelmala Srinivasulu India
Lucia Liu Severinghaus Taiwan
Belinda Appleton Australia
David Schmidly United States
Bernal Rodríguez‐Herrera Costa Rica
Jon Flanders United Kingdom
E. M. Barratt relative to Pavel Hulva Czechia Pavel Hulva's profile →
Citations per field
00.5×2.8×
Pavel Hulva · 1×
Citations per year

Countries citing papers authored by E. M. Barratt

Since Specialization
Citations

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

Fields of papers citing papers by E. M. Barratt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. M. Barratt. 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 E. M. Barratt. The network helps show where E. M. Barratt may publish in the future.

Co-authors

The 22 scholars most cited alongside E. M. Barratt, 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 E. M. Barratt Line = papers co-authored together E. M. Barratt links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2001264
2 199996
3 200295
4 200186
5 200186
6 200082
7 199968
8 200064
9 199763
10 199959
11 199958
12 199951
13 200744

About E. M. Barratt

E. M. Barratt is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology, Genetics, Ecological Modeling and Small Animals, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bat Biology and Ecology Studies (10 papers), Wildlife Ecology and Conservation (7 papers), Genetic diversity and population structure (5 papers), Species Distribution and Climate Change (3 papers), Human-Animal Interaction Studies (2 papers), Animal Ecology and Behavior Studies (2 papers), Yersinia bacterium, plague, ectoparasites research (2 papers) and Marine animal studies overview (1 paper). The work is most often cited by research in Developmental Biology (121 citations), Ecological Modeling (228 citations), Ecology, Evolution, Behavior and Systematics (648 citations), Ecology (698 citations) and Genetics (523 citations). E. M. Barratt has collaborated with scholars based in United Kingdom, Spain and Australia. Frequent co-authors include Gareth Jones, Mark Beaumont, Stephen J. Rossiter, Roger D. Ransome, Paul A. Racey, Mike Daniels, T. M. Burland, Michael W. Bruford, Andrew C. Kitchener and Jonathan K. Pritchard. Their work appears in journals such as Molecular Ecology, Proceedings of the Royal Society B Biological Sciences, Evolution, Behavioral Ecology and Sociobiology and Biological Journal of the Linnean Society.

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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