B. Saavedra‐Moreno

439 total citations
10 papers, 297 citations indexed

About

B. Saavedra‐Moreno is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, B. Saavedra‐Moreno has authored 10 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Electrical and Electronic Engineering and 3 papers in Computational Theory and Mathematics. Recurrent topics in B. Saavedra‐Moreno's work include Advanced Multi-Objective Optimization Algorithms (3 papers), Wind Energy Research and Development (3 papers) and Wind and Air Flow Studies (2 papers). B. Saavedra‐Moreno is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (3 papers), Wind Energy Research and Development (3 papers) and Wind and Air Flow Studies (2 papers). B. Saavedra‐Moreno collaborates with scholars based in Spain and Australia. B. Saavedra‐Moreno's co-authors include Sancho Salcedo‐Sanz, A. Portilla-Figueras, L. Carro‐Calvo, Ravinesh C. Deo, S. Jiménez‐Fernández, C. Casanova‐Mateo, L. Durán and Emilio G. Ortiz‐García and has published in prestigious journals such as Renewable Energy, Information Sciences and Journal of Wind Engineering and Industrial Aerodynamics.

In The Last Decade

B. Saavedra‐Moreno

10 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Saavedra‐Moreno Spain 7 129 124 116 63 37 10 297
Jong-Chul Huh South Korea 8 259 2.0× 155 1.3× 161 1.4× 50 0.8× 33 0.9× 35 372
Jorge Pérez‐Aracil Spain 11 40 0.3× 113 0.9× 96 0.8× 86 1.4× 45 1.2× 48 385
Bing Kong China 12 67 0.5× 44 0.4× 72 0.6× 38 0.6× 36 1.0× 54 511
Xiao-xue Hu China 7 36 0.3× 59 0.5× 101 0.9× 93 1.5× 54 1.5× 11 332
Rıshı Prakash India 11 107 0.8× 42 0.3× 164 1.4× 63 1.0× 24 0.6× 62 380
Tonglin Fu China 10 39 0.3× 226 1.8× 58 0.5× 103 1.6× 46 1.2× 21 366
Kyungnam Ko South Korea 9 231 1.8× 124 1.0× 164 1.4× 35 0.6× 37 1.0× 39 355
Christopher N. Elkinton United States 6 274 2.1× 119 1.0× 87 0.8× 49 0.8× 12 0.3× 8 321
Lian Shen China 10 99 0.8× 117 0.9× 125 1.1× 45 0.7× 16 0.4× 35 335
Juan Pablo Murcia León Denmark 12 270 2.1× 145 1.2× 178 1.5× 30 0.5× 25 0.7× 38 435

Countries citing papers authored by B. Saavedra‐Moreno

Since Specialization
Citations

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

Fields of papers citing papers by B. Saavedra‐Moreno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. Saavedra‐Moreno. 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 B. Saavedra‐Moreno. The network helps show where B. Saavedra‐Moreno may publish in the future.

Co-authorship network of co-authors of B. Saavedra‐Moreno

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

All Works

10 of 10 papers shown
1.
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
2.
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
3.
Saavedra‐Moreno, B., et al.. (2014). Heuristic correction of wind speed mesoscale models simulations for wind farms prospecting and micrositing. Journal of Wind Engineering and Industrial Aerodynamics. 130. 1–15. 6 indexed citations
4.
Saavedra‐Moreno, B., et al.. (2013). Very fast training neural-computation techniques for real measure-correlate-predict wind operations in wind farms. Journal of Wind Engineering and Industrial Aerodynamics. 116. 49–60. 26 indexed citations
5.
Salcedo‐Sanz, Sancho, et al.. (2013). An evolutionary-based hyper-heuristic approach for optimal construction of group method of data handling networks. Information Sciences. 247. 94–108. 22 indexed citations
6.
Ortiz‐García, Emilio G., et al.. (2012). Evolutionary optimization of multi-parametric kernel $$\epsilon$$ -SVMr for forecasting problems. Soft Computing. 17(2). 213–221. 3 indexed citations
7.
Salcedo‐Sanz, Sancho, et al.. (2011). A review of recent evolutionary computation-based techniques in wind turbines layout optimization problems. Open Computer Science. 1(1). 16 indexed citations
8.
Saavedra‐Moreno, B., et al.. (2011). Seeding evolutionary algorithms with heuristics for optimal wind turbines positioning in wind farms. Renewable Energy. 36(11). 2838–2844. 119 indexed citations
9.
Salcedo‐Sanz, Sancho, et al.. (2011). A binary-encoded tabu-list genetic algorithm for fast support vector regression hyper-parameters tuning. 1253–1257. 1 indexed citations
10.
Saavedra‐Moreno, B., et al.. (2011). Capacity estimation algorithm for simultaneous support of multi-class traffic services in Mobile WiMAX. Computer Communications. 35(1). 109–119. 6 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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