L. Carro‐Calvo

960 total citations
34 papers, 688 citations indexed

About

L. Carro‐Calvo is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Atmospheric Science. According to data from OpenAlex, L. Carro‐Calvo has authored 34 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 9 papers in Artificial Intelligence and 8 papers in Atmospheric Science. Recurrent topics in L. Carro‐Calvo's work include Wind Energy Research and Development (7 papers), Energy Load and Power Forecasting (6 papers) and Meteorological Phenomena and Simulations (5 papers). L. Carro‐Calvo is often cited by papers focused on Wind Energy Research and Development (7 papers), Energy Load and Power Forecasting (6 papers) and Meteorological Phenomena and Simulations (5 papers). L. Carro‐Calvo collaborates with scholars based in Spain, Italy and Germany. L. Carro‐Calvo's co-authors include Sancho Salcedo‐Sanz, A. Portilla-Figueras, B. Saavedra‐Moreno, S. Jiménez‐Fernández, Ravinesh C. Deo, Ricardo García‐Herrera, Javier Del Ser, Á. Pastor-Sánchez, Enrique Alexandre and L. Cuadra and has published in prestigious journals such as Applied Energy, Atmospheric Environment and Expert Systems with Applications.

In The Last Decade

L. Carro‐Calvo

34 papers receiving 670 citations

Peers

L. Carro‐Calvo
L. Cornejo-Bueno Spain
Enrique Alexandre Spain
Juan J. Flores Mexico
Susumu Shimada Japan
Yuchao Gao China
Qing Chang China
Liguo Weng China
S. K. Aggarwal India
Mingming Xu China
L. Cornejo-Bueno Spain
L. Carro‐Calvo
Citations per year, relative to L. Carro‐Calvo L. Carro‐Calvo (= 1×) peers L. Cornejo-Bueno

Countries citing papers authored by L. Carro‐Calvo

Since Specialization
Citations

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

Fields of papers citing papers by L. Carro‐Calvo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Carro‐Calvo. 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 L. Carro‐Calvo. The network helps show where L. Carro‐Calvo may publish in the future.

Co-authorship network of co-authors of L. Carro‐Calvo

This figure shows the co-authorship network connecting the top 25 collaborators of L. Carro‐Calvo. A scholar is included among the top collaborators of L. Carro‐Calvo 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 L. Carro‐Calvo. L. Carro‐Calvo 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.
Carro‐Calvo, L., et al.. (2024). Massive MIMO Channel Estimation With Convolutional Neural Network Structures. IEEE Transactions on Cognitive Communications and Networking. 11(1). 202–217. 1 indexed citations
2.
Carro‐Calvo, L., et al.. (2022). Deep Neural Network: An Alternative to Traditional Channel Estimators in Massive MIMO Systems. IEEE Transactions on Cognitive Communications and Networking. 8(2). 657–671. 15 indexed citations
3.
Carro‐Calvo, L., et al.. (2020). k-Gaps: a novel technique for clustering incomplete climatological time series. Theoretical and Applied Climatology. 143(1-2). 447–460. 5 indexed citations
4.
Salcedo‐Sanz, Sancho, et al.. (2019). Near-optimal selection of representative measuring points for robust temperature field reconstruction with the CRO-SL and analogue methods. Global and Planetary Change. 178. 15–34. 14 indexed citations
5.
Andrés, E., et al.. (2017). Obtaining minimum-drag shapes through surrogate-based global optimization: An application to the aerodynamic shape design of the landing gear master cylinder. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 232(15). 2858–2869. 1 indexed citations
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Carro‐Calvo, L., Corinna Hoose, Martin Stengel, & Sancho Salcedo‐Sanz. (2016). Cloud glaciation temperature estimation from passive remote sensing data with evolutionary computing. Journal of Geophysical Research Atmospheres. 121(22). 9 indexed citations
9.
Salcedo‐Sanz, Sancho, José Carlos Nieto Borge, L. Carro‐Calvo, et al.. (2015). Significant wave height estimation using SVR algorithms and shadowing information from simulated and real measured X-band radar images of the sea surface. Ocean Engineering. 101. 244–253. 82 indexed citations
10.
Salcedo‐Sanz, Sancho, Ravinesh C. Deo, L. Carro‐Calvo, & B. Saavedra‐Moreno. (2015). Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms. Theoretical and Applied Climatology. 125(1-2). 13–25. 95 indexed citations
11.
Salcedo‐Sanz, Sancho, et al.. (2014). Effectively Tackling Reinsurance Problems by Using Evolutionary and Swarm Intelligence Algorithms. Risks. 2(2). 132–145. 11 indexed citations
12.
Saavedra‐Moreno, B., et al.. (2014). Surface wind speed reconstruction from synoptic pressure fields: machine learning versus weather regimes classification techniques. Wind Energy. 18(9). 1531–1544. 3 indexed citations
13.
Salcedo‐Sanz, Sancho, et al.. (2013). Evolutionary computation approaches for real offshore wind farm layout: A case study in northern Europe. Expert Systems with Applications. 40(16). 6292–6297. 33 indexed citations
14.
García‐Herrera, Ricardo, et al.. (2013). Multi-decadal variability in a centennial reconstruction of daily wind. Applied Energy. 105. 30–46. 12 indexed citations
15.
Salcedo‐Sanz, Sancho, et al.. (2012). A new grouping genetic algorithm for clustering problems. Expert Systems with Applications. 39(10). 9695–9703. 103 indexed citations
16.
Salcedo‐Sanz, Sancho, Maurizio Naldi, L. Carro‐Calvo, et al.. (2011). An evolutionary algorithm for network clustering through traffic matrices. Cineca Institutional Research Information System (Tor Vergata University). 3418. 1580–1584. 1 indexed citations
17.
Carro‐Calvo, L., Sancho Salcedo‐Sanz, A. Portilla-Figueras, & Emilio G. Ortiz‐García. (2010). A genetic algorithm with switch-device encoding for optimal partition of switched industrial Ethernet networks. Journal of Network and Computer Applications. 33(4). 375–382. 11 indexed citations
18.
Carro‐Calvo, L., Sancho Salcedo‐Sanz, Emilio G. Ortiz‐García, & A. Portilla-Figueras. (2010). An incremental-encoding evolutionary algorithm for color reduction in images. Integrated Computer-Aided Engineering. 17(3). 261–269. 24 indexed citations
19.
Carro‐Calvo, L., Sancho Salcedo‐Sanz, Roberto Gil‐Pita, A. Portilla-Figueras, & Manuel Rosa-Zurera. (2009). An evolutionary multiclass algorithm for automatic classification of high range resolution radar targets. Integrated Computer-Aided Engineering. 16(1). 51–60. 9 indexed citations
20.
Ortiz‐García, Emilio G., Sancho Salcedo‐Sanz, Ángel M. Pérez‐Bellido, et al.. (2009). Improving the performance of evolutionary algorithms in grid-based puzzles resolution. Evolutionary Intelligence. 2(4). 169–181. 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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