Eva M. Albert

578 citations
10 papers · 447 · h-index 7

Impact in

Papers in

Eva M. Albert

10 papers receiving 409 citations

Peers

Eva M. Albert
Comparison fields: 5 of 48
  • Ecological Modeling 64
  • Nature and Landscape Conservation 123
  • Ecology, Evolution, Behavior and Systematics 183
  • Global and Planetary Change 152
  • Genetics 165
Replace Fabrícius M. C. B. Domingos with:
Fabrícius M. C. B. Domingos Brazil
Diego Andrés Barrasso Argentina
Alexander T. Xue United States
Ana Nieto United Kingdom
André Koch Germany
Yoann Anciaux France
István Sas Romania
Eugenia Zarza Mexico
Paulo Durães Pereira Pinheiro Brazil
Katyuscia Araujo‐Vieira Brazil
Eva M. Albert relative to Fabrícius M. C. B. Domingos Brazil Fabrícius M. C. B. Domingos's profile →
Citations per field
00.5×2×2.6×
Fabrícius M. C. B. Domingos · 1×
Citations per year

Countries citing papers authored by Eva M. Albert

Since Specialization
Citations

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

Fields of papers citing papers by Eva M. Albert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Eva M. Albert, 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 Eva M. Albert Line = papers co-authored together Eva M. Albert links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2009192
2 200573
3 200863
4 200746
5 201327
6 200923
7 201414
8 20225
9 20112
10 20102

About Eva M. Albert

Eva M. Albert is a scholar working on Global and Planetary Change, Genetics, Nature and Landscape Conservation, Ecology and Ecological Modeling, having authored 10 papers that have together received 447 indexed citations. Recurring topics across this work include Genetic diversity and population structure (8 papers), Amphibian and Reptile Biology (7 papers), Wildlife Ecology and Conservation (2 papers), Genomics and Phylogenetic Studies (1 paper), Species Distribution and Climate Change (1 paper), Marine and fisheries research (1 paper), Fish Biology and Ecology Studies (1 paper) and Animal Behavior and Reproduction (1 paper). The work is most often cited by research in Ecological Modeling (64 citations), Nature and Landscape Conservation (123 citations), Ecology, Evolution, Behavior and Systematics (183 citations), Global and Planetary Change (152 citations) and Genetics (165 citations). Eva M. Albert has collaborated with scholars based in Spain, Switzerland and United Kingdom. Frequent co-authors include Miguel A. Fortuna, Jordi Bascompte, Enrico L. Rezende, Rafael Zardoya, Mario Garcı́a-Parı́s, Lukas Rüber, Diego San Mauro, José A. Godoy, Touriya Atarhouch and Elena González. Their work appears in journals such as Conservation Genetics, Ecology Letters, Molecular Phylogenetics and Evolution, Molecular Ecology and Zootaxa.

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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