Maialen Iturbide

2.4k total citations
27 papers, 664 citations indexed

About

Maialen Iturbide is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Maialen Iturbide has authored 27 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Global and Planetary Change, 14 papers in Atmospheric Science and 4 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Maialen Iturbide's work include Climate variability and models (17 papers), Meteorological Phenomena and Simulations (12 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Maialen Iturbide is often cited by papers focused on Climate variability and models (17 papers), Meteorological Phenomena and Simulations (12 papers) and Atmospheric and Environmental Gas Dynamics (4 papers). Maialen Iturbide collaborates with scholars based in Spain, Switzerland and United Kingdom. Maialen Iturbide's co-authors include José Manuel Gutiérrez, Joaquín Bedia, Sixto Herrera, Ana Casanueva, Rodrigo Manzanas, Antonio S. Cofiño, M. Pinto, Jesús Fernández, M. D. Frías and Jorge Baño‐Medina and has published in prestigious journals such as Water Research, Scientific Reports and Geophysical Research Letters.

In The Last Decade

Maialen Iturbide

26 papers receiving 649 citations

Peers

Maialen Iturbide

GPC

ECOLO

WST

Peter Slaughter United States

Lingxiao Ying China

Daniele de Rigo Italy

Amy Hudson United States

Christian Pagé France

Ryan Boyles United States

Renée F. Brown United States

Jianhong Liu China

Sirpa Thessler Finland

Doris Klein Germany

Peter Slaughter United States

Maialen Iturbide

202 ×0.5

GPC

424 ×1.7

49 ×0.4

149 ×1.1

ECOLO

110 ×1.2

WST

Citations per year, relative to Maialen Iturbide Maialen Iturbide (= 1×) peers Peter Slaughter

Countries citing papers authored by Maialen Iturbide

Since Specialization

Citations

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

Fields of papers citing papers by Maialen Iturbide

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maialen Iturbide

This figure shows the co-authorship network connecting the top 25 collaborators of Maialen Iturbide. A scholar is included among the top collaborators of Maialen Iturbide 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 Maialen Iturbide. Maialen Iturbide is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Brands, Swen, Maialen Iturbide, Sixto Herrera, et al.. (2025). Seasonal drought predictions in the Mediterranean using the SPEI index: Paving the way for their operational applicability in climate services. Climate Services. 38. 100555–100555.

Bedia, Joaquín, et al.. (2025). Refining remote sensing precipitation datasets in the South Pacific with an adaptive multi-method calibration approach. Hydrology and earth system sciences. 29(3). 799–822. 2 indexed citations

Iturbide, Maialen, et al.. (2024). Global warming significantly increases the risk of Pierce’s disease epidemics in European vineyards. Scientific Reports. 14(1). 9648–9648. 3 indexed citations

Vicente‐Serrano, Sergio M., Carmelo Juez, Vera Potopová, et al.. (2024). Drought risk in Moldova under global warming and possible crop adaptation strategies. Annals of the New York Academy of Sciences. 1538(1). 144–161. 2 indexed citations

Milovac, Josipa, Maialen Iturbide, Jesús Fernández, et al.. (2024). Regional scaling of sea surface temperature with global warming levels in the CMIP6 ensemble. Climate Dynamics. 1 indexed citations

Díez-Sierra, Javier, Maialen Iturbide, Jesús Fernández, et al.. (2023). Consistency of the regional response to global warming levels from CMIP5 and CORDEX projections. Climate Dynamics. 61(7-8). 4047–4060. 4 indexed citations

Iturbide, Maialen, Ana Casanueva, Joaquín Bedia, et al.. (2021). On the need of bias adjustment for more plausible climate change projections of extreme heat. Atmospheric Science Letters. 23(2). 27 indexed citations

Iturbide, Maialen, Jesús Fernández, Joaquín Bedia, et al.. (2021). Repository supporting the implementation of FAIR principles in the IPCC-WGI Atlas. Zenodo (CERN European Organization for Nuclear Research). 7 indexed citations

Mercado‐Bettín, Daniel, François Clayer, Tadhg N. Moore, et al.. (2021). Forecasting water temperature in lakes and reservoirs using seasonal climate prediction. Water Research. 201. 117286–117286. 21 indexed citations

10.

Mesanza, Nebai, et al.. (2021). Weather Variables Associated with Spore Dispersal of Lecanosticta acicola Causing Pine Needle Blight in Northern Spain. Plants. 10(12). 2788–2788. 8 indexed citations

11.

Milara, Iván Sanchéz, et al.. (2021). Climadjust: easing the Bias Adjustment process through a user-friendly web service. 2 indexed citations

12.

Casanueva, Ana, Sixto Herrera, Maialen Iturbide, et al.. (2020). Testing bias adjustment methods for regional climate change applications under observational uncertainty and resolution mismatch. Atmospheric Science Letters. 21(7). 84 indexed citations

13.

Manzanas, Rodrigo, Jesús Fernández, Sixto Herrera, et al.. (2020). Assessing Multidomain Overlaps and Grand Ensemble Generation in CORDEX Regional Projections. Geophysical Research Letters. 47(4). 10 indexed citations

14.

Bedia, Joaquín, Jorge Baño‐Medina, Maialen Iturbide, et al.. (2020). Statistical downscaling with the downscaleR package (v3.1.0): contribution to the VALUE intercomparison experiment. Geoscientific model development. 13(3). 1711–1735. 55 indexed citations

15.

Bedia, Joaquín, Daniel San-Martín, Maialen Iturbide, et al.. (2019). The METACLIP semantic provenance framework for climate products. Environmental Modelling & Software. 119. 445–457. 7 indexed citations

16.

Iturbide, Maialen, Joaquín Bedia, Sixto Herrera, et al.. (2018). The R-based climate4R open framework for reproducible climate data access and post-processing. Environmental Modelling & Software. 111. 42–54. 105 indexed citations

17.

Bedia, Joaquín, Nicola Golding, Ana Casanueva, et al.. (2017). Seasonal predictions of Fire Weather Index: Paving the way for their operational applicability in Mediterranean Europe. Climate Services. 9. 101–110. 69 indexed citations

18.

Cofiño, Antonio S., Joaquín Bedia, Maialen Iturbide, et al.. (2017). The ECOMS User Data Gateway: Towards seasonal forecast data provision and research reproducibility in the era of Climate Services. Climate Services. 9. 33–43. 29 indexed citations

19.

Frías, M. D., Maialen Iturbide, Rodrigo Manzanas, et al.. (2017). An R package to visualize and communicate uncertainty in seasonal climate prediction. Environmental Modelling & Software. 99. 101–110. 26 indexed citations

20.

Iturbide, Maialen, et al.. (2015). A framework for species distribution modelling with improved pseudo-absence generation. Ecological Modelling. 312. 166–174. 122 indexed citations

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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