B. Saavedra‐Moreno
Impact in
- Environmental Engineering top 10%
- Wind and Air Flow Studies
- Hydrological Forecasting Using AI
- Aerospace Engineering top 10%
- Wind Energy Research and Development
Papers in
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- Metaheuristic Optimization Algorithms Research 2
- Neural Networks and Applications 2
- Evolutionary Algorithms and Applications 2
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- Energy Load and Power Forecasting 2
- Co-authors
- Sancho Salcedo‐Sanz (10 shared papers)A. Portilla-Figueras (7 shared papers)L. Carro‐Calvo (6 shared papers)Ravinesh C. Deo (1 shared paper)S. Jiménez‐Fernández (1 shared paper)Emilio G. Ortiz‐García (2 shared papers)L. Durán (1 shared paper)C. Casanova‐Mateo (1 shared paper)
In The Last Decade
B. Saavedra‐Moreno
10 papers receiving 295 citations
Peers
Comparison fields: 5 of 58
- Environmental Engineering 117
- Aerospace Engineering 130
- Electrical and Electronic Engineering 125
- Computational Theory and Mathematics 33
- Atmospheric Science 36
Countries citing papers authored by B. Saavedra‐Moreno
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
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-authors
The 8 scholars most cited alongside B. Saavedra‐Moreno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 120 | |
| 2 | 2015 | 97 | |
| 3 | 2013 | 26 | |
| 4 | 2013 | 22 | |
| 5 | 2011 | 16 | |
| 6 | 2014 | 6 | |
| 7 | 2011 | 6 | |
| 8 | 2012 | 3 | |
| 9 | 2014 | 3 | |
| 10 | 2011 | 1 |
About B. Saavedra‐Moreno
B. Saavedra‐Moreno is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics, Environmental Engineering and Aerospace Engineering, having authored 10 papers that have together received 300 indexed citations. Recurring topics across this work include Advanced Multi-Objective Optimization Algorithms (3 papers), Wind Energy Research and Development (3 papers), Wind and Air Flow Studies (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Neural Networks and Applications (2 papers), Energy Load and Power Forecasting (2 papers), Evolutionary Algorithms and Applications (2 papers) and Meteorological Phenomena and Simulations (2 papers). The work is most often cited by research in Environmental Engineering (117 citations), Aerospace Engineering (130 citations), Electrical and Electronic Engineering (125 citations), Computational Theory and Mathematics (33 citations) and Atmospheric Science (36 citations). B. Saavedra‐Moreno has collaborated with scholars based in Spain and Australia. Frequent co-authors include Sancho Salcedo‐Sanz, A. Portilla-Figueras, L. Carro‐Calvo, Ravinesh C. Deo, S. Jiménez‐Fernández, Emilio G. Ortiz‐García, L. Durán and C. Casanova‐Mateo. Their work appears in journals such as Journal of Wind Engineering and Industrial Aerodynamics, Computer Communications, Soft Computing, Renewable Energy and Information Sciences.
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.