S. Jiménez‐Fernández

2.2k total citations
67 papers, 1.6k citations indexed

About

S. Jiménez‐Fernández is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, S. Jiménez‐Fernández has authored 67 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 15 papers in Control and Systems Engineering and 14 papers in Artificial Intelligence. Recurrent topics in S. Jiménez‐Fernández's work include Microgrid Control and Optimization (14 papers), Smart Grid Energy Management (11 papers) and Energy Load and Power Forecasting (10 papers). S. Jiménez‐Fernández is often cited by papers focused on Microgrid Control and Optimization (14 papers), Smart Grid Energy Management (11 papers) and Energy Load and Power Forecasting (10 papers). S. Jiménez‐Fernández collaborates with scholars based in Spain, Brazil and United States. S. Jiménez‐Fernández's co-authors include Sancho Salcedo‐Sanz, Javier Del Ser, A. Portilla-Figueras, L. Cuadra, Paula de Toledo, Francisco del Pozo, Zong Woo Geem, Aina Borrás, Óscar Miró and José Javier Pérez Milla and has published in prestigious journals such as Journal of Cleaner Production, Applied Energy and Expert Systems with Applications.

In The Last Decade

S. Jiménez‐Fernández

66 papers receiving 1.6k 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. Jiménez‐Fernández Spain 21 568 370 261 208 148 67 1.6k
Susana M. Vieira Portugal 26 536 0.9× 947 2.6× 305 1.2× 162 0.8× 94 0.6× 130 2.7k
João M. C. Sousa Portugal 32 788 1.4× 1.2k 3.3× 811 3.1× 108 0.5× 154 1.0× 222 4.0k
Victoria C. P. Chen United States 23 257 0.5× 213 0.6× 237 0.9× 26 0.1× 54 0.4× 87 1.6k
Jay Michael Rosenberger United States 25 470 0.8× 59 0.2× 279 1.1× 40 0.2× 65 0.4× 144 2.0k
Abdelkader Dairi Algeria 19 269 0.5× 569 1.5× 172 0.7× 47 0.2× 64 0.4× 44 1.5k
Santu Rana Australia 20 107 0.2× 549 1.5× 86 0.3× 52 0.3× 33 0.2× 85 2.1k
Laura A. Albert United States 27 55 0.1× 75 0.2× 262 1.0× 209 1.0× 170 1.1× 87 2.1k
Muhammad Fahim Pakistan 17 273 0.5× 312 0.8× 105 0.4× 22 0.1× 335 2.3× 77 1.2k
Robert P. Treviño United States 11 78 0.1× 833 2.3× 72 0.3× 604 2.9× 130 0.9× 19 2.6k
Mark Hoogendoorn Netherlands 19 80 0.1× 828 2.2× 76 0.3× 42 0.2× 87 0.6× 138 1.9k

Countries citing papers authored by S. Jiménez‐Fernández

Since Specialization
Citations

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

Fields of papers citing papers by S. Jiménez‐Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Jiménez‐Fernández. 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. Jiménez‐Fernández. The network helps show where S. Jiménez‐Fernández may publish in the future.

Co-authorship network of co-authors of S. Jiménez‐Fernández

This figure shows the co-authorship network connecting the top 25 collaborators of S. Jiménez‐Fernández. A scholar is included among the top collaborators of S. Jiménez‐Fernández 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. Jiménez‐Fernández. S. Jiménez‐Fernández 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.
Jiménez‐Fernández, S., et al.. (2025). Evolutionary optimization of spatially-distributed multi-sensors placement for indoor surveillance environments with security levels. Future Generation Computer Systems. 166. 107727–107727. 1 indexed citations
2.
Perry, J. N., Alberto de la Calle, Timothy W. Jones, et al.. (2025). Discovery of materials for solar thermochemical hydrogen combining machine learning, computational chemistry, experiments and system simulations. npj Computational Materials. 11(1). 1 indexed citations
3.
Jiménez‐Fernández, S., et al.. (2023). Solving an energy resource management problem with a novel multi-objective evolutionary reinforcement learning method. Knowledge-Based Systems. 280. 111027–111027. 13 indexed citations
4.
Marcelino, Carolina G., et al.. (2023). Evaluating the risk of uncertainty in smart grids with electric vehicles using an evolutionary swarm-intelligent algorithm. Journal of Cleaner Production. 401. 136775–136775. 8 indexed citations
5.
Marcelino, Carolina G., et al.. (2023). Cross-entropy boosted CRO-SL for optimal power flow in smart grids. Soft Computing. 27(10). 6549–6572. 9 indexed citations
6.
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
7.
Casillas-Pérez, David, et al.. (2022). Extended Weighted ABG: A Robust Non-Linear ABG-Based Approach for Optimal Combination of ABG Path-Loss Propagation Models. IEEE Access. 10. 75219–75233. 1 indexed citations
8.
Marcelino, Carolina G., et al.. (2021). An efficient multi-objective evolutionary approach for solving the operation of multi-reservoir system scheduling in hydro-power plants. Expert Systems with Applications. 185. 115638–115638. 34 indexed citations
9.
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
10.
11.
Cornejo-Bueno, L., et al.. (2017). Wind Power Ramp Events Prediction with Hybrid Machine Learning Regression Techniques and Reanalysis Data. Energies. 10(11). 1784–1784. 25 indexed citations
12.
13.
Salcedo‐Sanz, Sancho, et al.. (2013). A coral‐reef optimization algorithm for the optimal service distribution problem in mobile radio access networks. Transactions on Emerging Telecommunications Technologies. 25(11). 1057–1069. 15 indexed citations
14.
Ruiz, Ignacio Martínez, et al.. (2007). Implementation Experience of a Patient Monitoring Solution based on End-to-End Standards. Conference proceedings. 121. 6425–6428. 9 indexed citations
15.
Ruiz, Ignacio Martínez, et al.. (2007). Proposal of an ISO/IEEE11073 Platform for Healthcare Telemonitoring: Plug-and-Play Solution with new Use Cases. Conference proceedings. 121. 6709–6712. 8 indexed citations
16.
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
17.
Toledo, Paula de, et al.. (2006). Interoperability of a Mobile Health Care Solution with Electronic Healthcare Record Systems. PubMed. 2006. 5214–5217. 9 indexed citations
18.
Toledo, Paula de, S. Jiménez‐Fernández, Francisco del Pozo, et al.. (2006). Telemedicine Experience for Chronic Care in COPD. IEEE Transactions on Information Technology in Biomedicine. 10(3). 567–573. 151 indexed citations
19.
Jiménez‐Fernández, S., et al.. (2006). PERSEIA: a Biomedical Wireless Sensor Network to Support Healthcare Delivery for the Elderly and Chronically Ill. PubMed. 21. 2064–2066. 8 indexed citations
20.
Miró, Óscar, et al.. (1999). Decreased health care quality associated with emergency department overcrowding. European Journal of Emergency Medicine. 6(2). 105–107. 214 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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