Á. Pastor-Sánchez
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Aerospace Engineering top 10%
- Renewable Energy, Sustainability and the Environment
- Control and Systems Engineering
- Co-authors
- Sancho Salcedo‐SanzC. Casanova‐MateoLuís PrietoRicardo García‐HerreraA. Portilla-FiguerasJavier Del SerL. Carro‐CalvoZong Woo Geem
- Topics
- Machine Learning and ELM (4 papers)Advanced Multi-Objective Optimization Algorithms (2 papers)Metaheuristic Optimization Algorithms Research (2 papers)
- Cited by
- Artificial IntelligenceEnergy Engineering and Power TechnologyRenewable Energy, Sustainability and the Environment
- Partner nations
- SpainSouth Korea
In The Last Decade
Á. Pastor-Sánchez
9 papers receiving 532 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 272
- Electrical and Electronic Engineering 271
- Aerospace Engineering 110
- Renewable Energy, Sustainability and the Environment 77
- Control and Systems Engineering 55
Countries citing papers authored by Á. Pastor-Sánchez
This map shows the geographic impact of Á. Pastor-Sánchez'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 Á. Pastor-Sánchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Á. Pastor-Sánchez more than expected).
Fields of papers citing papers by Á. Pastor-Sánchez
This network shows the impact of papers produced by Á. Pastor-Sánchez. 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 Á. Pastor-Sánchez. The network helps show where Á. Pastor-Sánchez may publish in the future.
Co-authorship network of co-authors of Á. Pastor-Sánchez
This figure shows the co-authorship network connecting the top 25 collaborators of Á. Pastor-Sánchez. A scholar is included among the top collaborators of Á. Pastor-Sánchez 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 Á. Pastor-Sánchez. Á. Pastor-Sánchez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 68 | |
| 4 | 47 | |
| 5 | 144 | |
| 6 | 134 | |
| 7 | 33 | |
| 8 | 69 | |
| 9 | 35 |
About Á. Pastor-Sánchez
Á. Pastor-Sánchez is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Transportation, having authored 9 papers that have together received 541 indexed citations. Recurring topics across this work include Machine Learning and ELM (4 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Artificial Intelligence (272 citations), Energy Engineering and Power Technology (21 citations) and Renewable Energy, Sustainability and the Environment (77 citations). Á. Pastor-Sánchez has collaborated with scholars based in Spain and South Korea. Frequent co-authors include Sancho Salcedo‐Sanz, C. Casanova‐Mateo, Luís Prieto, Ricardo García‐Herrera, A. Portilla-Figueras, Javier Del Ser, L. Carro‐Calvo, Zong Woo Geem, Enrique Alexandre and L. Cuadra. Their work appears in journals such as Expert Systems with Applications, Energy Conversion and Management and Renewable Energy.
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.