Daniel San-Martín

1.8k total citations
22 papers, 897 citations indexed

About

Daniel San-Martín is a scholar working on Global and Planetary Change, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Daniel San-Martín has authored 22 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 13 papers in Atmospheric Science and 3 papers in Artificial Intelligence. Recurrent topics in Daniel San-Martín's work include Climate variability and models (16 papers), Meteorological Phenomena and Simulations (8 papers) and Cryospheric studies and observations (6 papers). Daniel San-Martín is often cited by papers focused on Climate variability and models (16 papers), Meteorological Phenomena and Simulations (8 papers) and Cryospheric studies and observations (6 papers). Daniel San-Martín collaborates with scholars based in Spain, China and Austria. Daniel San-Martín's co-authors include José Manuel Gutiérrez, Sixto Herrera, Swen Brands, Rodrigo Manzanas, Joaquín Bedia, L. Pesquera, Silvia Ortín, Ingo Fischer, Daniel Brunner and Cláudio R. Mirasso and has published in prestigious journals such as Scientific Reports, Journal of Climate and Bulletin of the American Meteorological Society.

In The Last Decade

Daniel San-Martín

21 papers receiving 872 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel San-Martín Spain 14 651 514 148 134 106 22 897
Jan D. Keller Germany 14 442 0.7× 459 0.9× 71 0.5× 95 0.7× 45 0.4× 25 720
Daniel Paredes Spain 9 474 0.7× 324 0.6× 154 1.0× 311 2.3× 62 0.6× 13 936
Dimitrios Stathis Greece 15 668 1.0× 167 0.3× 35 0.2× 115 0.9× 352 3.3× 49 1.0k
Nachiketa Acharya United States 17 652 1.0× 489 1.0× 58 0.4× 71 0.5× 99 0.9× 46 815
Andrew E. Mercer United States 16 483 0.7× 440 0.9× 63 0.4× 22 0.2× 134 1.3× 58 848
Sylvie Parey France 17 738 1.1× 375 0.7× 24 0.2× 37 0.3× 220 2.1× 39 895
V. THAPLIYAL India 17 641 1.0× 443 0.9× 47 0.3× 49 0.4× 48 0.5× 28 799
James Correia United States 16 982 1.5× 956 1.9× 23 0.2× 48 0.4× 79 0.7× 31 1.2k
C. A. Babu India 17 831 1.3× 733 1.4× 19 0.1× 109 0.8× 71 0.7× 86 1.1k
Robert J. Kuligowski United States 20 1.1k 1.7× 1.5k 2.9× 65 0.4× 71 0.5× 204 1.9× 51 1.8k

Countries citing papers authored by Daniel San-Martín

Since Specialization
Citations

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

Fields of papers citing papers by Daniel San-Martín

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel San-Martín. 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 Daniel San-Martín. The network helps show where Daniel San-Martín may publish in the future.

Co-authorship network of co-authors of Daniel San-Martín

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel San-Martín. A scholar is included among the top collaborators of Daniel San-Martín 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 Daniel San-Martín. Daniel San-Martín 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
1.
Milara, Iván Sanchéz, et al.. (2021). Climadjust: easing the Bias Adjustment process through a user-friendly web service. 2 indexed citations
2.
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
3.
Terrado, Marta, Llorenç Lledó, Dragana Bojović, et al.. (2019). The Weather Roulette: A Game to Communicate the Usefulness of Probabilistic Climate Predictions. Bulletin of the American Meteorological Society. 100(10). 1909–1921. 12 indexed citations
4.
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
5.
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
6.
Soares, Pedro M. M., Douglas Maraun, Swen Brands, et al.. (2018). Process‐based evaluation of the VALUE perfect predictor experiment of statistical downscaling methods. International Journal of Climatology. 39(9). 3868–3893. 27 indexed citations
7.
Maraun, Douglas, Radan Huth, José Manuel Gutiérrez, et al.. (2017). The VALUE perfect predictor experiment: Evaluation of temporal variability. International Journal of Climatology. 39(9). 3786–3818. 55 indexed citations
8.
Brands, Swen, José Manuel Gutiérrez, & Daniel San-Martín. (2016). Twentieth-century atmospheric river activity along the west coasts of Europe and North America: algorithm formulation, reanalysis uncertainty and links to atmospheric circulation patterns. Climate Dynamics. 48(9-10). 2771–2795. 67 indexed citations
9.
Ortín, Silvia, Miguel C. Soriano, L. Pesquera, et al.. (2015). A Unified Framework for Reservoir Computing and Extreme Learning Machines based on a Single Time-delayed Neuron. Scientific Reports. 5(1). 14945–14945. 137 indexed citations
10.
Manzanas, Rodrigo, et al.. (2015). Statistical Downscaling in the Tropics Can Be Sensitive to Reanalysis Choice: A Case Study for Precipitation in the Philippines. Journal of Climate. 28(10). 4171–4184. 40 indexed citations
11.
García‐Díez, Markel, Jesús Fernández, Daniel San-Martín, Sixto Herrera, & José Manuel Gutiérrez. (2015). Assessing and Improving the Local Added Value of WRF for Wind Downscaling. Journal of Applied Meteorology and Climatology. 54(7). 1556–1568. 24 indexed citations
12.
Casanueva, Ana, M. D. Frías, Sixto Herrera, et al.. (2014). Statistical downscaling of climate impact indices: testing the direct approach. Climatic Change. 127(3-4). 547–560. 25 indexed citations
13.
Bedia, Joaquín, Sixto Herrera, Daniel San-Martín, Nikos Koutsias, & José Manuel Gutiérrez. (2013). Robust projections of Fire Weather Index in the Mediterranean using statistical downscaling. Climatic Change. 120(1-2). 229–247. 49 indexed citations
14.
Gutiérrez, José Manuel, Daniel San-Martín, Silvia Ortín, & L. Pesquera. (2012). Simple reservoirs with chain topology based on a single time-delay nonlinear node.. The European Symposium on Artificial Neural Networks. 4 indexed citations
15.
Gutiérrez, José Manuel, Daniel San-Martín, Swen Brands, Rodrigo Manzanas, & Sixto Herrera. (2012). Reassessing Statistical Downscaling Techniques for Their Robust Application under Climate Change Conditions. Journal of Climate. 26(1). 171–188. 154 indexed citations
16.
Gutiérrez, José Manuel, Daniel San-Martín, Antonio S. Cofiño, et al.. (2011). User guide of the ENSEMBLES downscaling portal (version 2). DIGITAL.CSIC (Spanish National Research Council (CSIC)). 2 indexed citations
17.
Brands, Swen, Sixto Herrera, Daniel San-Martín, & José Manuel Gutiérrez. (2011). Validation of the ENSEMBLES global climate models over southwestern Europe using probability density functions, from a downscaling perspective. Climate Research. 48(2). 145–161. 40 indexed citations
18.
Cofiño, Antonio S., et al.. (2010). The ENSEMBLES Statistical Downscaling Portal. EGUGA. 12887. 1 indexed citations
19.
Herrera, Sixto, et al.. (2010). Escenarios regionales probabilísticos de cambio climático en Cantabria: termopluviometría. 3 indexed citations
20.
San-Martín, Daniel, et al.. (2009). Snow trends in Northern Spain: analysis and simulation with statistical downscaling methods. International Journal of Climatology. 30(12). 1795–1806. 26 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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