Bernat Codina

1.0k total citations
34 papers, 704 citations indexed

About

Bernat Codina is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Bernat Codina has authored 34 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Atmospheric Science, 16 papers in Global and Planetary Change and 9 papers in Environmental Engineering. Recurrent topics in Bernat Codina's work include Meteorological Phenomena and Simulations (18 papers), Precipitation Measurement and Analysis (15 papers) and Climate variability and models (10 papers). Bernat Codina is often cited by papers focused on Meteorological Phenomena and Simulations (18 papers), Precipitation Measurement and Analysis (15 papers) and Climate variability and models (10 papers). Bernat Codina collaborates with scholars based in Spain, France and United Kingdom. Bernat Codina's co-authors include Joan Bech, J. Lorente, D.H.O. Bebbington, J. Lorente, A. Sairouni, Mireia Udina, Sergi González, M. Carmen Casas, Guy Hendrickx and R. De Deken and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Soil Science Society of America Journal and Atmospheric chemistry and physics.

In The Last Decade

Bernat Codina

33 papers receiving 668 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernat Codina Spain 16 494 275 151 129 66 34 704
Maria Athanassiadou United Kingdom 7 542 1.1× 439 1.6× 188 1.2× 35 0.3× 61 0.9× 13 874
Helen Webster United Kingdom 19 751 1.5× 775 2.8× 141 0.9× 51 0.4× 71 1.1× 43 1.1k
Dragutin T. Mihailović Serbia 16 216 0.4× 452 1.6× 336 2.2× 25 0.2× 67 1.0× 82 958
Francis W. Murray United States 9 563 1.1× 681 2.5× 150 1.0× 47 0.4× 42 0.6× 23 1.1k
S. Steinke Germany 8 186 0.4× 175 0.6× 52 0.3× 42 0.3× 33 0.5× 10 357
Curt Reynolds United States 10 318 0.6× 369 1.3× 412 2.7× 46 0.4× 119 1.8× 18 993
Markel García‐Díez Spain 13 555 1.1× 584 2.1× 142 0.9× 44 0.3× 30 0.5× 19 827
Ain Kallis Estonia 5 638 1.3× 884 3.2× 63 0.4× 17 0.1× 50 0.8× 8 1.1k
Patrick S. Market United States 17 474 1.0× 500 1.8× 73 0.5× 11 0.1× 20 0.3× 58 705
A. V. Tsvetkov United States 6 782 1.6× 1.0k 3.8× 65 0.4× 19 0.1× 49 0.7× 9 1.3k

Countries citing papers authored by Bernat Codina

Since Specialization
Citations

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

Fields of papers citing papers by Bernat Codina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernat Codina

This figure shows the co-authorship network connecting the top 25 collaborators of Bernat Codina. A scholar is included among the top collaborators of Bernat Codina 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 Bernat Codina. Bernat Codina 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.
González, Sergi, Joan Bech, Mireia Udina, et al.. (2021). Vertical structure and microphysical observations of winter precipitation in an inner valley during the Cerdanya-2017 field campaign. Atmospheric Research. 264. 105826–105826. 8 indexed citations
2.
Bech, Joan, et al.. (2021). A New Methodology to Characterise the Radar Bright Band Using Doppler Spectral Moments from Vertically Pointing Radar Observations. Remote Sensing. 13(21). 4323–4323. 9 indexed citations
3.
Bech, Joan, et al.. (2020). Precipitation Type Classification of Micro Rain Radar Data Using an Improved Doppler Spectral Processing Methodology. Remote Sensing. 12(24). 4113–4113. 27 indexed citations
4.
Codina, Bernat, et al.. (2018). Radar data assimilation impact over nowcasting a mesoscale convective system in Catalonia using the WRF model. 3–17. 4 indexed citations
5.
Codina, Bernat, et al.. (2016). Implementation of Bessel's method for solar eclipses prediction in the WRF-ARW model. Atmospheric chemistry and physics. 16(9). 5949–5967. 6 indexed citations
6.
7.
Codina, Bernat, et al.. (2015). Analysis of the ozone profile specifications in the WRF-ARW model and their impact on the simulation of direct solar radiation. Atmospheric chemistry and physics. 15(5). 2693–2707. 9 indexed citations
8.
Muñoz–Tuñón, C., et al.. (2015). Forecasting the precipitable water vapour content: validation for astronomical observatories using radiosoundings. Monthly Notices of the Royal Astronomical Society. 452(2). 1992–2003. 19 indexed citations
9.
Codina, Bernat, et al.. (2015). Enhancing Air Quality Forecasts over Catalonia (Spain) Using Model Output Statistics. Journal of Geoscience and Environment Protection. 3(8). 9–22. 7 indexed citations
10.
Lorente, J., Á. Redaño, Xavier Cabo, Bernat Codina, & Carmen Casás. (2014). El efecto de la atmósfera en la atenuación del poder eritemático de la radiación solar ultravioleta. Arcimis (State Meteorological Agency). 4(16).
11.
12.
Ducheyne, Els, R. De Deken, Bernat Codina, et al.. (2007). Quantifying the wind dispersal of Culicoides species in Greece and Bulgaria. Geospatial health. 1(2). 177–177. 70 indexed citations
13.
Bech, Joan, Bernat Codina, & J. Lorente. (2006). Forecasting weather radar propagation conditions. Meteorology and Atmospheric Physics. 96(3-4). 229–243. 28 indexed citations
14.
Bech, Joan, et al.. (2004). Using mesoscale NWP model data to identify radar anomalous propagation events. 310–314. 4 indexed citations
15.
Bech, Joan, Bernat Codina, J. Lorente, & D.H.O. Bebbington. (2003). The Sensitivity of Single Polarization Weather Radar Beam Blockage Correction to Variability in the Vertical Refractivity Gradient. Journal of Atmospheric and Oceanic Technology. 20(6). 845–855. 104 indexed citations
16.
Bech, Joan, Bernat Codina, J. Lorente, & D.H.O. Bebbington. (2002). Monthly and daily variations of radar anomalous propagation conditions: How "normal" is normal propagation?. 35–39. 26 indexed citations
17.
Alberoni, P. P., E. Todini, Ramesh Chandra, et al.. (2002). CARPE DIEM: EU project. 363–369. 1 indexed citations
18.
Bech, Joan, et al.. (1998). Evaluation of atmospheric anomalous propagation conditions: an application for weather radars. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3499. 111–111. 9 indexed citations
19.
Codina, Bernat, et al.. (1997). Prediction of a mesoscale convective system over catalonia (Northeastern Spain) with a nested numerical model. Meteorology and Atmospheric Physics. 62(1-2). 9–22. 23 indexed citations
20.
Codina, Bernat & J. Lorente. (1993). Rain acidity during a storm: Results from a simple acid‐monitoring device. Weather. 48(6). 181–185. 5 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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