Javier Igea

21 papers receiving 657 citations

Peers

Javier Igea
Comparison fields: 5 of 63
  • Ecological Modeling 124
  • Paleontology 119
  • Nature and Landscape Conservation 180
  • Ecology, Evolution, Behavior and Systematics 250
  • Genetics 248
Replace Paolo Gratton with:
Paolo Gratton Italy
Fábio Raposo do Amaral Brazil
Alexandre Mendes Fernandes Brazil
Elizabeth Christina Miller United States
María José Madeira Spain
D. Graham Pearson United States
Tag N. Engstrom United States
Elorri Arevalo France
Denim M. Jochimsen United States
Daniel M. Hooper United States
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Citations per field
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Paolo Gratton · 1×
Citations per year

Countries citing papers authored by Javier Igea

Since Specialization
Citations

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

Fields of papers citing papers by Javier Igea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Javier Igea, 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 Javier Igea Line = papers co-authored together Javier Igea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200793
2 202077
3 201676
4 201045
5 201743
6 201340
7 202139
8 202134
9 201434
10 201529
11 202128
12 201626
13 201919
14 201619
15 201616
16 201915
17 201915
18 201912
19 20148
20 20237

About Javier Igea

Javier Igea is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation, Molecular Biology and Paleontology, having authored 21 papers that have together received 679 indexed citations. Recurring topics across this work include Genetic diversity and population structure (9 papers), Plant Diversity and Evolution (6 papers), Ecology and Vegetation Dynamics Studies (5 papers), Plant and animal studies (5 papers), Evolution and Paleontology Studies (5 papers), Species Distribution and Climate Change (4 papers), Genomics and Phylogenetic Studies (4 papers) and Animal Ecology and Behavior Studies (2 papers). The work is most often cited by research in Ecological Modeling (124 citations), Paleontology (119 citations), Nature and Landscape Conservation (180 citations), Ecology, Evolution, Behavior and Systematics (250 citations) and Genetics (248 citations). Javier Igea has collaborated with scholars based in United Kingdom, Spain and New Zealand. Frequent co-authors include Andrew J. Tanentzap, José Castresana, Alexander S. T. Papadopulos, Vincent Savolainen, Víctor Soria‐Carrasco, Gerard Talavera, Javier Juste, Tom J. M. Van Dooren, Andrew J. Helmstetter and Pere Aymerich. Their work appears in journals such as BMC Evolutionary Biology, Evolution, Journal of Biogeography, Bioinformatics and Nature Communications.

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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