Iker Irisarri

64 papers receiving 2.4k citations

Iker Irisarri's Hit Papers

Species delimitation 4.0: integrative taxonomy meets artificial intelligence 2024 · 50 citations
500+1Years since publication1020304050

Peers

Iker Irisarri
Comparison fields: 5 of 119
  • Paleontology 207
  • Ecology, Evolution, Behavior and Systematics 415
  • Ecological Modeling 92
  • Oceanography 250
  • Molecular Biology 1.3k
Replace Rute R. da Fonseca with:
Rute R. da Fonseca Denmark
Sarah J. Bourlat Germany
Frank E. Anderson United States
Rui Faria Portugal
Sebastian Klaus Germany
Sandie M. Degnan Australia
Takahiro Yonezawa Japan
Kipling Will United States
Jean‐François Flot Belgium
Juan I. Montoya‐Burgos Switzerland
Iker Irisarri relative to Rute R. da Fonseca Denmark Rute R. da Fonseca's profile →
Citations per field
00.5×3.2×
Rute R. da Fonseca · 1×
Citations per year

Countries citing papers authored by Iker Irisarri

Since Specialization
Citations

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

Fields of papers citing papers by Iker Irisarri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013205
2 2017205
3 2018181
4 2021174
5 2021141
6 202192
7 201890
8 202164
9 202262
10 202262
11 201255
12 201854
13 201751
14
Species delimitation 4.0: integrative taxonomy meets artificial intelligence
Hit paper breakdown →
202450
15 202250
16 202248
17 201147
18 201646
19 202142
20 201742

About Iker Irisarri

Iker Irisarri is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Genetics, Ecology and Plant Science, having authored 68 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (18 papers), Genetic diversity and population structure (12 papers), Amphibian and Reptile Biology (10 papers), Photosynthetic Processes and Mechanisms (8 papers), Protist diversity and phylogeny (7 papers), Microbial Community Ecology and Physiology (5 papers), Marine and coastal plant biology (4 papers) and Physiological and biochemical adaptations (4 papers). The work is most often cited by research in Paleontology (207 citations), Ecology, Evolution, Behavior and Systematics (415 citations), Ecological Modeling (92 citations), Oceanography (250 citations) and Molecular Biology (1.3k citations). Iker Irisarri has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Rafael Zardoya, Fabien Burki, Axel Meyer, Federico Abascal, Jan de Vries, Jürgen F. H. Strassert, Miguel Vences, Tom A. Williams, Sophie de Vries and Paolo Franchini. Their work appears in journals such as Molecular Phylogenetics and Evolution, Nature Communications, The Plant Journal, BMC Evolutionary Biology and Current Biology.

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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