Beatriz Navascués

554 total citations
22 papers, 409 citations indexed

About

Beatriz Navascués is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Beatriz Navascués has authored 22 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atmospheric Science, 13 papers in Global and Planetary Change and 5 papers in Oceanography. Recurrent topics in Beatriz Navascués's work include Meteorological Phenomena and Simulations (16 papers), Climate variability and models (12 papers) and Geophysics and Gravity Measurements (5 papers). Beatriz Navascués is often cited by papers focused on Meteorological Phenomena and Simulations (16 papers), Climate variability and models (12 papers) and Geophysics and Gravity Measurements (5 papers). Beatriz Navascués collaborates with scholars based in Spain, Sweden and Denmark. Beatriz Navascués's co-authors include Nils Gustafsson, Magnus Lindskog, Sune Thorsteinsson, Loïk Berre, Kristian Mogensen, Ernesto Rodríguez Camino, Giulio Ruffini, P. Elósegui, Lídia Cucurull and A. Rius and has published in prestigious journals such as Quarterly Journal of the Royal Meteorological Society, Journal of Atmospheric and Oceanic Technology and Tellus B.

In The Last Decade

Beatriz Navascués

21 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beatriz Navascués Spain 9 306 274 105 74 59 22 409
Thomas Schwitalla Germany 16 557 1.8× 544 2.0× 55 0.5× 41 0.6× 29 0.5× 39 669
Manuel Pondeca United States 9 344 1.1× 281 1.0× 109 1.0× 65 0.9× 42 0.7× 16 415
Jean‐Blaise Ngamini France 6 300 1.0× 303 1.1× 83 0.8× 57 0.8× 50 0.8× 7 393
Nikki C. Privé United States 13 528 1.7× 473 1.7× 149 1.4× 42 0.6× 44 0.7× 37 628
Kirsti Salonen Finland 11 327 1.1× 279 1.0× 86 0.8× 98 1.3× 57 1.0× 21 437
Alex Deckmyn Belgium 8 182 0.6× 195 0.7× 53 0.5× 54 0.7× 40 0.7× 14 318
Jean-Philippe Lafore France 7 371 1.2× 364 1.3× 63 0.6× 32 0.4× 21 0.4× 10 433
Emanuela Pichelli Italy 13 265 0.9× 224 0.8× 59 0.6× 93 1.3× 17 0.3× 24 395
Cynthia L. Combs United States 7 319 1.0× 313 1.1× 63 0.6× 36 0.5× 28 0.5× 14 432
Chin–Tzu Fong Taiwan 11 303 1.0× 242 0.9× 87 0.8× 46 0.6× 31 0.5× 15 372

Countries citing papers authored by Beatriz Navascués

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Navascués

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatriz Navascués

This figure shows the co-authorship network connecting the top 25 collaborators of Beatriz Navascués. A scholar is included among the top collaborators of Beatriz Navascués 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 Beatriz Navascués. Beatriz Navascués 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.
Camino, Ernesto Rodríguez, Valentina Bacciu, Marta Chiarle, et al.. (2022). Co-design of sectoral climate services based on seasonal prediction information in the Mediterranean. Climate Services. 28. 100337–100337. 13 indexed citations
2.
Domínguez, Marta, et al.. (2021). Upgrade of a climate service tailored to water reservoirs management. Climate Services. 25. 100281–100281. 5 indexed citations
3.
Navascués, Beatriz, et al.. (2020). High resolution climate change projections for the Pyrenees region. Advances in science and research. 17. 191–208. 34 indexed citations
4.
Navascués, Beatriz, et al.. (2019). Web-based decision support toolbox for Spanish reservoirs. Advances in science and research. 16. 157–163. 3 indexed citations
5.
Navascués, Beatriz, et al.. (2019). Regionally improved seasonal forecast of precipitation through Best estimation of winter NAO. Advances in science and research. 16. 165–174. 5 indexed citations
6.
Campins, Joan, et al.. (2017). Assimilation of ATOVS and GNSS ZTD data in the HARMONIE-AROME model configuration run at AEMET. Arcimis (State Meteorological Agency). 1 indexed citations
7.
Campins, Joan & Beatriz Navascués. (2016). Impact of targeted observations on HIRLAM forecasts during HyMeX‐SOP1. Quarterly Journal of the Royal Meteorological Society. 142(S1). 363–376. 3 indexed citations
8.
Campins, Joan, et al.. (2013). Influence of targeted observations on short-term forecasts of high-impact weather events in the Mediterranean. Natural hazards and earth system sciences. 13(11). 2891–2910. 8 indexed citations
9.
Camino, Ernesto Rodríguez, et al.. (2009). Analysis of surface variables and parameterization of surface processes in HIRLAM. Part I: Approach and verification by parallel runs. 15 indexed citations
10.
Navascués, Beatriz, et al.. (2009). Analysis of surface variables and parameterization of surface processes in HIRLAM. Part II: Seasonal assimilation experiment. Arcimis (State Meteorological Agency). 5 indexed citations
11.
Cansado, Alberto, et al.. (2009). Optimum interpolation new snow depth analysis in HIRLAM. Arcimis (State Meteorological Agency). 4 indexed citations
12.
Cansado, Alberto & Beatriz Navascués. (2009). Usage of SYNOP 10 meters wind observations in HIRLAM. Arcimis (State Meteorological Agency). 2 indexed citations
13.
Vedel, Henrik, Kai Sattler, Xiang‐Yu Huang, et al.. (2006). GPS data recommendations for European Numerical Weather Prediction. Arcimis (State Meteorological Agency). 3 indexed citations
14.
Cansado, Alberto & Beatriz Navascués. (2003). Optimum interpolation analysis method for snow depth. Arcimis (State Meteorological Agency). 1 indexed citations
15.
Lindskog, Magnus, et al.. (2001). Three-dimensional variational data assimilation for a limited area model. Part II: Observation handling and assimilation experiments. Tellus A Dynamic Meteorology and Oceanography. 53(4). 447–468. 20 indexed citations
16.
Lindskog, Magnus, Nils Gustafsson, Beatriz Navascués, et al.. (2001). Three-dimensional variational data assimilation for a limited area model. Tellus A Dynamic Meteorology and Oceanography. 53(4). 447–447. 58 indexed citations
17.
Gustafsson, Nils, et al.. (2001). Three-dimensional variational data assimilation for a limited area model. Part I: General formulation and the background error constraint. Tellus A Dynamic Meteorology and Oceanography. 53(4). 425–446. 115 indexed citations
18.
Cucurull, Lídia, Beatriz Navascués, Giulio Ruffini, et al.. (2000). The Use of GPS to Validate NWP Systems: The HIRLAM Model. Journal of Atmospheric and Oceanic Technology. 17(6). 773–787. 42 indexed citations
19.
Navascués, Beatriz. (1997). ANALYSIS OF 2 meter TEMPERATURE AND RELATIVE HUMIDITY. Arcimis (State Meteorological Agency). 6 indexed citations
20.
Navascués, Beatriz, et al.. (1991). Carbon dioxide observations at Izaña baseline station, Tenerife (Canary Islands): 1984—1988. Tellus B. 43(2). 118–118. 7 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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