S. de la Torre

2.4k total citations
39 papers, 1.9k citations indexed

About

S. de la Torre is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, S. de la Torre has authored 39 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 12 papers in Automotive Engineering and 8 papers in Control and Systems Engineering. Recurrent topics in S. de la Torre's work include Smart Grid Energy Management (17 papers), Electric Power System Optimization (17 papers) and Optimal Power Flow Distribution (14 papers). S. de la Torre is often cited by papers focused on Smart Grid Energy Management (17 papers), Electric Power System Optimization (17 papers) and Optimal Power Flow Distribution (14 papers). S. de la Torre collaborates with scholars based in Spain, Chile and France. S. de la Torre's co-authors include José A. Aguado, Antonio J. Conejo, Javier Contreras, Sebastián Martín, Enzo Sauma, José M. Arroyo, Alicia Triviño, Miguel Cañas‐Carretón, Manuel R. Reyes and José Antonio Gómez‐Ruiz and has published in prestigious journals such as Applied Energy, IEEE Transactions on Power Systems and Energy.

In The Last Decade

S. de la Torre

38 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. de la Torre Spain 23 1.6k 544 445 261 203 39 1.9k
Xiuli Wang China 22 1.6k 1.0× 364 0.7× 501 1.1× 243 0.9× 127 0.6× 87 2.1k
R. Lamedica Italy 20 1.3k 0.8× 390 0.7× 370 0.8× 429 1.6× 77 0.4× 117 1.9k
Maria Carmen Falvo Italy 19 1.2k 0.7× 622 1.1× 423 1.0× 199 0.8× 59 0.3× 105 1.5k
Pablo Arboleyá Spain 20 1.0k 0.6× 227 0.4× 619 1.4× 344 1.3× 64 0.3× 117 1.4k
Federica Foiadelli Italy 25 1.8k 1.2× 840 1.5× 659 1.5× 637 2.4× 52 0.3× 161 2.5k
Zbigniew A. Styczynski Germany 22 1.3k 0.8× 229 0.4× 738 1.7× 61 0.2× 89 0.4× 137 1.6k
A. Prudenzi Italy 14 920 0.6× 123 0.2× 256 0.6× 121 0.5× 55 0.3× 79 1.2k
Sanjib Ganguly India 25 1.7k 1.1× 207 0.4× 1.0k 2.3× 50 0.2× 217 1.1× 100 2.0k
Ali Esmaeel Nezhad Iran 31 2.5k 1.6× 322 0.6× 1.1k 2.5× 44 0.2× 135 0.7× 80 2.8k
Jiawei Liu China 13 648 0.4× 378 0.7× 237 0.5× 65 0.2× 51 0.3× 56 937

Countries citing papers authored by S. de la Torre

Since Specialization
Citations

This map shows the geographic impact of S. de la Torre'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 S. de la Torre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. de la Torre more than expected).

Fields of papers citing papers by S. de la Torre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. de la Torre. 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 S. de la Torre. The network helps show where S. de la Torre may publish in the future.

Co-authorship network of co-authors of S. de la Torre

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

All Works

20 of 20 papers shown
1.
Torre, S. de la, et al.. (2024). Optimal routing for electric vehicle macro-groups in urban areas: Application to the city of Santiago, Chile. Energy. 313. 133996–133996. 4 indexed citations
2.
Arboleyá, Pablo, C. Mayet, Bassam Mohamed, José A. Aguado, & S. de la Torre. (2020). A review of railway feeding infrastructures: Mathematical models for planning and operation. eTransportation. 5. 100063–100063. 25 indexed citations
3.
Torre, S. de la, José M. González‐González, José A. Aguado, & Sebastián Martín. (2018). Optimal battery sizing considering degradation for renewable energy integration. IET Renewable Power Generation. 13(4). 572–577. 30 indexed citations
4.
Pérez‐Ruiz, Juan, et al.. (2016). Probabilistic congestion management using EVs in a smart grid with intermittent renewable generation. Electric Power Systems Research. 137. 155–162. 28 indexed citations
5.
Torre, S. de la, et al.. (2014). Demand-side management in smart grid operation considering electric vehicles load shifting and vehicle-to-grid support. International Journal of Electrical Power & Energy Systems. 64. 689–698. 172 indexed citations
6.
Torre, S. de la & Charles Yousif. (2014). Evaluation of Chimney Stack Effect in a New Brewery Using DesignBuilder-energyPlus Software. Energy Procedia. 62. 230–235. 13 indexed citations
7.
Torre, S. de la, et al.. (2014). Optimal Sizing of Energy Storage for Regenerative Braking in Electric Railway Systems. IEEE Transactions on Power Systems. 30(3). 1492–1500. 141 indexed citations
8.
Martín, Sebastián, et al.. (2013). V2G strategies for congestion management in microgrids with high penetration of electric vehicles. Electric Power Systems Research. 104. 28–34. 72 indexed citations
9.
Pérez‐Ruiz, Juan, et al.. (2013). Unit commitment with load uncertainty by joint chance-constrained programming. 1–6. 6 indexed citations
10.
Muñoz, Carlos, et al.. (2012). Impact of high wind power penetration on transmission network expansion planning. IET Generation Transmission & Distribution. 6(12). 1281–1291. 78 indexed citations
11.
Aguado, José A., S. de la Torre, Javier Contreras, Antonio J. Conejo, & A. Martínez. (2011). Market-driven dynamic transmission expansion planning. Electric Power Systems Research. 82(1). 88–94. 40 indexed citations
12.
Martín, Sebastián, et al.. (2011). Optimal microgrid operation with electric vehicles. 1–8. 12 indexed citations
13.
Gabriel, Steven A., et al.. (2009). A Benders decomposition method for discretely-constrained mathematical programs with equilibrium constraints. Journal of the Operational Research Society. 61(9). 1404–1419. 24 indexed citations
14.
Torre, S. de la & Antonio J. Conejo. (2005). Optimal Self-Scheduling of a Tidal Power Plant. Journal of Energy Engineering. 131(1). 26–51. 10 indexed citations
15.
Torre, S. de la, et al.. (2005). Inverse dynamics of humanoid robot by balanced mass distribution method. 1. 834–839. 4 indexed citations
16.
Contreras, Javier, et al.. (2003). Power engineering lab: electricity market simulator. 1475–1475.
17.
Contreras, Javier, Antonio J. Conejo, & S. de la Torre. (2003). Experience with an electricity market simulation tool. Production Planning & Control. 14(2). 135–145. 5 indexed citations
18.
Contreras, Javier, et al.. (2002). Power engineering lab: electricity market simulator. IEEE Transactions on Power Systems. 17(2). 223–228. 40 indexed citations
19.
Conejo, Antonio J., Javier Contreras, José M. Arroyo, & S. de la Torre. (2002). Optimal Response of an Oligopolistic Generating Company to a Competitive Electric Power Market. IEEE Power Engineering Review. 22(3). 60–60. 4 indexed citations
20.
Contreras, Javier, et al.. (2002). Power Engineering Lab: Electricity Market Simulator. IEEE Power Engineering Review. 22(2). 60–60. 43 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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