Eugenia Iturritxa

1.8k citations
39 papers · 922 indexed · 1 hit paper · h-index 15

Eugenia Iturritxa

39 papers receiving 892 citations

Hit Papers

Hyperparameter tuning and performance assessment of stati...3672019202620212023100200300

Peers

Eugenia Iturritxa
Comparison fields: 5 of 126
  • Cell Biology 382
  • Ecology 301
  • Ecological Modeling 47
  • Plant Science 400
  • Environmental Engineering 113
Replace Simone Bregaglio with:
Simone Bregaglio Italy
Richard W. Ward United States
L.G. Santesteban Spain
Jan Behmann Germany
James Seager Australia
Matheus Thomas Kuśka Germany
David Doll United States
Arron H. Carter United States
Mirwaes Wahabzada Germany
D. A. Shah United States
Eugenia Iturritxa relative to Simone Bregaglio Italy Simone Bregaglio's profile →
Citations per field
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Simone Bregaglio · 1×
Citations per year

Countries citing papers authored by Eugenia Iturritxa

Since Specialization
Citations

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

Fields of papers citing papers by Eugenia Iturritxa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 20232
4 20238
5 20233
6 202118
7 202111
8 20215
9 20206
10 202024
11
Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial databreakdown →
2019367
12 20198
13 20181
14 20177
15 201612
16 201428
17 201414
18 201223
19 201143
20 20092

About Eugenia Iturritxa

Eugenia Iturritxa is a scholar working on Cell Biology, Plant Science and Ecology, having authored 39 papers that have together received 922 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (33 papers), Mycorrhizal Fungi and Plant Interactions (16 papers), Forest Insect Ecology and Management (14 papers), Yeasts and Rust Fungi Studies (11 papers), Mycotoxins in Agriculture and Food (7 papers), Plant-Microbe Interactions and Immunity (5 papers), Plant Disease Resistance and Genetics (4 papers) and Plant Pathogens and Resistance (3 papers). The work is most often cited by research in Cell Biology (382 citations), Ecology (301 citations) and Ecological Modeling (47 citations). Eugenia Iturritxa has collaborated with scholars based in Spain, Canada and South Africa. Frequent co-authors include Alexander Brenning, Jannes Muenchow, Patrick Schratz, Jakob Richter, Nebai Mesanza, Rosa Raposo, Margarita Elvira‐Recuenco, Rebecca J. Ganley, Cheryl L. Patten and Michael S. Watt. Their work appears in journals such as PLoS ONE, International Journal of Food Microbiology and Agricultural and Forest Meteorology.

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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