Sancho Salcedo‐Sanz

13.1k total citations · 4 hit papers
371 papers, 9.5k citations indexed

About

Sancho Salcedo‐Sanz is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Sancho Salcedo‐Sanz has authored 371 papers receiving a total of 9.5k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Electrical and Electronic Engineering, 133 papers in Artificial Intelligence and 58 papers in Environmental Engineering. Recurrent topics in Sancho Salcedo‐Sanz's work include Energy Load and Power Forecasting (81 papers), Metaheuristic Optimization Algorithms Research (54 papers) and Solar Radiation and Photovoltaics (32 papers). Sancho Salcedo‐Sanz is often cited by papers focused on Energy Load and Power Forecasting (81 papers), Metaheuristic Optimization Algorithms Research (54 papers) and Solar Radiation and Photovoltaics (32 papers). Sancho Salcedo‐Sanz collaborates with scholars based in Spain, Australia and United Kingdom. Sancho Salcedo‐Sanz's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

Sancho Salcedo‐Sanz

357 papers receiving 9.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bio-inspired computation: Where we stand and what's next

2019 438 citations Sancho Salcedo‐Sanz et al. profile →
Predicting compressive strength of lightweight foamed concrete using extreme learning machine model

2017 340 citations Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Ravinesh C. Deo et al. profile →
A survey on applications of the harmony search algorithm

2013 274 citations Sancho Salcedo‐Sanz et al. Engineering Applications of Artificial Intelligence profile →
Heat Waves: Physical Understanding and Scientific Challenges

2023 179 citations David Barriopedro, Ricardo García‐Herrera et al. Reviews of Geophysics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sancho Salcedo‐Sanz Spain	50	3.6k	3.5k	1.4k	1.0k	767	371	9.5k
Jie Zhang China	54	4.9k 1.4×	2.3k 0.6×	1.1k 0.8×	1.5k 1.4×	1.5k 1.9×	539	9.8k
Mohammad Bagher Menhaj Iran	31	1.9k 0.5×	2.5k 0.7×	794 0.6×	873 0.8×	2.6k 3.4×	348	9.5k
Sue Ellen Haupt United States	37	1.8k 0.5×	1.9k 0.5×	1.3k 1.0×	718 0.7×	602 0.8×	143	7.0k
Shahaboddin Shamshirband Iran	75	4.1k 1.1×	4.4k 1.3×	3.5k 2.6×	838 0.8×	985 1.3×	327	17.1k
Jianfei Cai Singapore	49	1.3k 0.4×	3.4k 1.0×	415 0.3×	510 0.5×	725 0.9×	309	13.3k
Qinyu Zhu China	6	3.0k 0.8×	7.2k 2.1×	844 0.6×	282 0.3×	1.2k 1.6×	13	10.9k
Leandro dos Santos Coelho Brazil	69	5.3k 1.5×	5.9k 1.7×	691 0.5×	768 0.7×	3.0k 4.0×	413	16.1k
James Bergstra Canada	18	1.2k 0.3×	4.2k 1.2×	537 0.4×	261 0.3×	544 0.7×	25	10.1k
Amir H. Alavi United States	64	1.9k 0.5×	5.5k 1.6×	683 0.5×	391 0.4×	1.2k 1.5×	205	16.4k
Yanning Zhang China	59	1.0k 0.3×	2.5k 0.7×	668 0.5×	1.3k 1.2×	279 0.4×	694	13.7k

Countries citing papers authored by Sancho Salcedo‐Sanz

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ghimire, Sujan, Ravinesh C. Deo, Ningxin Jiang, et al.. (2025). Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction. Atmospheric Environment. 347. 121079–121079. 2 indexed citations

Guijo-Rubio, David, et al.. (2025). Enhancing wind speed prediction in wind farms through ordinal classification. Energy and AI. 22. 100596–100596.

Salcedo‐Sanz, Sancho, et al.. (2025). Artificial Intelligence-Based Methods and Algorithms in Fog and Atmospheric Low-Visibility Forecasting. Atmosphere. 16(9). 1073–1073.

Ghimire, Sujan, Ravinesh C. Deo, David Casillas-Pérez, & Sancho Salcedo‐Sanz. (2024). Electricity demand error corrections with attention bi-directional neural networks. Energy. 291. 129938–129938. 15 indexed citations

Deo, Ravinesh C., et al.. (2024). Wavelet-fusion image super-resolution model with deep learning for downscaling remotely-sensed, multi-band spectral albedo imagery. Remote Sensing Applications Society and Environment. 36. 101333–101333.

Sharma, Ekta, et al.. (2024). Towards next-generation federated learning: A case study on privacy attacks in artificial intelligence systems. 1446–1453. 2 indexed citations

Sharma, Ekta, et al.. (2024). Poster: Cloud Computing with AI-empowered Trends in Software-Defined Radios: Challenges and Opportunities. 2 indexed citations

Joseph, Lionel, Ravinesh C. Deo, David Casillas-Pérez, et al.. (2024). Multi-Step-Ahead Wind Speed Forecast System: Hybrid Multivariate Decomposition and Feature Selection-Based Gated Additive Tree Ensemble Model. IEEE Access. 12. 58750–58777. 3 indexed citations

Deo, Ravinesh C., et al.. (2024). End-to-end learning of adaptive coded modulation schemes for resilient wireless communications. Applied Soft Computing. 159. 111672–111672. 2 indexed citations

10.

Salcedo‐Sanz, Sancho, et al.. (2023). Efficient evolution of decision trees via fully matrix-based fitness evaluation. Applied Soft Computing. 150. 111045–111045. 9 indexed citations

11.

Barriopedro, David, Ricardo García‐Herrera, Carlos Ordóñez, Diego G. Miralles, & Sancho Salcedo‐Sanz. (2023). Heat Waves: Physical Understanding and Scientific Challenges. Reviews of Geophysics. 61(2). 179 indexed citations breakdown →

12.

Sharma, Ekta, et al.. (2023). A Comparative Study of Artificial Intelligence-Based Algorithms for Bitwise Decoding of Error Correction Codes. 37–42. 2 indexed citations

13.

Cuadra, L., Sancho Salcedo‐Sanz, & José Carlos Nieto Borge. (2023). Carrier Transport in Colloidal Quantum Dot Intermediate Band Solar Cell Materials Using Network Science. International Journal of Molecular Sciences. 24(4). 3797–3797. 2 indexed citations

14.

Ghimire, Sujan, Ravinesh C. Deo, David Casillas-Pérez, et al.. (2022). Deep learning CNN-LSTM-MLP hybrid fusion model for feature optimizations and daily solar radiation prediction. Measurement. 202. 111759–111759. 76 indexed citations

15.

Marcelino, Carolina G., et al.. (2022). Evaluating the use of a Net-Metering mechanism in microgrids to reduce power generation costs with a swarm-intelligent algorithm. Energy. 266. 126317–126317. 25 indexed citations

16.

Marcelino, Carolina G., et al.. (2021). Dynamic Electric Dispatch for Wind Power Plants: A New Automatic Controller System Using Evolutionary Algorithms. Sustainability. 13(21). 11924–11924. 7 indexed citations

17.

Camacho-Gómez, Carlos, et al.. (2020). Design of a Multi-Band Microstrip Textile Patch Antenna for LTE and 5G Services with the CRO-SL Ensemble. Applied Sciences. 10(3). 1168–1168. 20 indexed citations

18.

Fernández, Juan Carlos Fernández, Sancho Salcedo‐Sanz, Pedro Antonio Gutiérrez, Enrique Alexandre, & César Hervás‐Martínez. (2015). Significant wave height and energy flux range forecast with machine learning classifiers. Engineering Applications of Artificial Intelligence. 43. 44–53. 58 indexed citations

19.

Portilla-Figueras, A., et al.. (2006). A genetic algorithm for solving the first price sealed bid auction in communication networks. 1–6.

20.

Salcedo‐Sanz, Sancho, et al.. (2006). A hybrid greedy-simulated annealing algorithm for the optimal location of controllers in wireless networks. International Conference on Artificial Intelligence. 159–164. 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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