Eugenia Iturritxa

1.8k citations
39 papers · 922 indexed · 1 hit paper · h-index 15
Topics
Plant Pathogens and Fungal Diseases (33 papers)Mycorrhizal Fungi and Plant Interactions (16 papers)Forest Insect Ecology and Management (14 papers)
Partner nations
SpainCanadaSouth Africa

In The Last Decade

Eugenia Iturritxa

39 papers receiving 892 citations

Hit Papers

Hyperparameter tuning and performance assessment of stati...20192026202120232019100200300

Peers

Eugenia Iturritxa
Comparison fields: 5 of 126
  • Plant Science 400
  • Cell Biology 382
  • Ecology 301
  • Molecular Biology 113
  • 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
00.5×3.3×
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 of co-authors of Eugenia Iturritxa

This figure shows the co-authorship network connecting the top 25 collaborators of Eugenia Iturritxa. A scholar is included among the top collaborators of Eugenia Iturritxa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eugenia Iturritxa. Eugenia Iturritxa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 2
4 8
5 3
6 18
7 11
8 5
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10 24
11
Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial databreakdown →
367
12 8
13 1
14 7
15 12
16 28
17 14
18 23
19 43
20 2

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) and Forest Insect Ecology and Management (14 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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