Sancho Salcedo‐Sanz
- Electrical and Electronic Engineering top 1%
- Artificial Intelligence top 0.2%
- Environmental Engineering top 0.5%
- Aerospace Engineering top 1%
- Control and Systems Engineering top 1%
- Co-authors
- A. Portilla-FiguerasJavier Del SerRavinesh C. DeoC. Casanova‐MateoS. Jiménez‐FernándezDavid Casillas-PérezEmilio G. Ortiz‐GarcíaÁngel M. Pérez‐Bellido
- Topics
- Energy Load and Power Forecasting (81 papers)Metaheuristic Optimization Algorithms Research (54 papers)Solar Radiation and Photovoltaics (32 papers)
- Journals
- SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsJournal of Cleaner Production
- Partner nations
- SpainAustraliaUnited Kingdom
In The Last Decade
Sancho Salcedo‐Sanz
357 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Electrical and Electronic Engineering 3.6k
- Artificial Intelligence 3.5k
- Environmental Engineering 1.4k
- Aerospace Engineering 1.0k
- Control and Systems Engineering 767
Countries citing papers authored by Sancho Salcedo‐Sanz
This map shows the geographic impact of Sancho Salcedo‐Sanz'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 Sancho Salcedo‐Sanz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sancho Salcedo‐Sanz more than expected).
Fields of papers citing papers by Sancho Salcedo‐Sanz
This network shows the impact of papers produced by Sancho Salcedo‐Sanz. 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 Sancho Salcedo‐Sanz. The network helps show where Sancho Salcedo‐Sanz may publish in the future.
Co-authorship network of co-authors of Sancho Salcedo‐Sanz
This figure shows the co-authorship network connecting the top 25 collaborators of Sancho Salcedo‐Sanz. A scholar is included among the top collaborators of Sancho Salcedo‐Sanz 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 Sancho Salcedo‐Sanz. Sancho Salcedo‐Sanz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 15 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 2 | |
| 15 | 25 | |
| 16 | 7 | |
| 17 | 34 | |
| 18 | 29 | |
| 19 | 24 | |
| 20 | 58 |
About Sancho Salcedo‐Sanz
Sancho Salcedo‐Sanz is a scholar working on Artificial Intelligence, Environmental Engineering and Electrical and Electronic Engineering, having authored 371 papers that have together received 9.5k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (81 papers), Metaheuristic Optimization Algorithms Research (54 papers) and Solar Radiation and Photovoltaics (32 papers). The work is most often cited by research in Artificial Intelligence (3.5k citations), Environmental Engineering (1.4k citations) and Energy Engineering and Power Technology (211 citations). Sancho Salcedo‐Sanz has collaborated with scholars based in Spain, Australia and United Kingdom. Frequent co-authors include A. Portilla-Figueras, Javier Del Ser, Ravinesh C. Deo, C. Casanova‐Mateo, S. Jiménez‐Fernández, David Casillas-Pérez, Emilio G. Ortiz‐García, Ángel M. Pérez‐Bellido, L. Cornejo-Bueno and Sujan Ghimire. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.
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.