C. Senabre

737 total citations
35 papers, 562 citations indexed

About

C. Senabre is a scholar working on Electrical and Electronic Engineering, Automotive Engineering and Environmental Engineering. According to data from OpenAlex, C. Senabre has authored 35 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 10 papers in Automotive Engineering and 7 papers in Environmental Engineering. Recurrent topics in C. Senabre's work include Energy Load and Power Forecasting (22 papers), Electric Power System Optimization (8 papers) and Hydrological Forecasting Using AI (5 papers). C. Senabre is often cited by papers focused on Energy Load and Power Forecasting (22 papers), Electric Power System Optimization (8 papers) and Hydrological Forecasting Using AI (5 papers). C. Senabre collaborates with scholars based in Spain. C. Senabre's co-authors include S. Valero, F.J.G. Franco, Antonio Gabaldón, Mario Ortíz, Carlos Álvarez-Bel, Juan Aparicio, Antonio Guillamón and Áurea Martínez and has published in prestigious journals such as IEEE Transactions on Power Systems, Sustainability and Energies.

In The Last Decade

C. Senabre

32 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Senabre Spain 9 471 99 76 67 65 35 562
Debopriya Roy Dipta United States 7 332 0.7× 70 0.7× 110 1.4× 56 0.8× 46 0.7× 11 516
Mohammad Navid Fekri Canada 6 396 0.8× 203 2.1× 71 0.9× 138 2.1× 53 0.8× 8 601
Seungwon Jung South Korea 11 255 0.5× 167 1.7× 36 0.5× 87 1.3× 61 0.9× 16 472
Dahua Gan China 7 557 1.2× 152 1.5× 97 1.3× 122 1.8× 116 1.8× 8 660
Franklin L. Quilumba Ecuador 11 612 1.3× 88 0.9× 193 2.5× 108 1.6× 60 0.9× 34 659
Xifeng Guo China 10 318 0.7× 158 1.6× 75 1.0× 37 0.6× 71 1.1× 41 510
Stylianos Sp. Pappas Greece 8 438 0.9× 116 1.2× 63 0.8× 52 0.8× 203 3.1× 19 541
Joaquim Massana Spain 5 544 1.2× 115 1.2× 119 1.6× 217 3.2× 81 1.2× 11 643
Noman Shabbir Estonia 15 541 1.1× 141 1.4× 134 1.8× 56 0.8× 35 0.5× 65 688

Countries citing papers authored by C. Senabre

Since Specialization
Citations

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

Fields of papers citing papers by C. Senabre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Senabre. 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 C. Senabre. The network helps show where C. Senabre may publish in the future.

Co-authorship network of co-authors of C. Senabre

This figure shows the co-authorship network connecting the top 25 collaborators of C. Senabre. A scholar is included among the top collaborators of C. Senabre 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 C. Senabre. C. Senabre 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.
Valero, S., et al.. (2025). Impact of COVID-19 lockdown in short-term load forecasting. Mathematics and Computers in Simulation. 237. 344–354.
2.
Valero, S., et al.. (2022). Reduction of Computational Burden and Accuracy Maximization in Short-Term Load Forecasting. Energies. 15(10). 3670–3670. 3 indexed citations
3.
Valero, S., et al.. (2022). Automatic Selection of Temperature Variables for Short-Term Load Forecasting. Sustainability. 14(20). 13339–13339. 4 indexed citations
4.
Valero, S., et al.. (2020). Use of Available Daylight to Improve Short-Term Load Forecasting Accuracy. Energies. 14(1). 95–95. 4 indexed citations
5.
Valero, S., et al.. (2019). Classification of Special Days in Short-Term Load Forecasting: The Spanish Case Study. Energies. 12(7). 1253–1253. 28 indexed citations
7.
Valero, S., et al.. (2018). Empirical Comparison of Neural Network and Auto-Regressive Models in Short-Term Load Forecasting. Energies. 11(8). 2080–2080. 14 indexed citations
8.
Valero, S., et al.. (2017). Short-term load forecasting of multiregion systems using mixed effects models. 23. 1–5. 4 indexed citations
10.
Valero, S., et al.. (2017). New online load forecasting system for the Spanish Transport System Operator. Electric Power Systems Research. 154. 401–412. 24 indexed citations
12.
Senabre, C., et al.. (2016). Comparative Analysis of VTEC Bank of Rollers Brake Testers versus Maha, Ryme and Dynamometric Platform Testers Used at Ministry of Transport Facilities. 3(8). 1 indexed citations
13.
Senabre, C., et al.. (2016). Wheel Diameter And Width Influence In Variability Of Brake Data Measurement At Ministry Of Transport Facilities. Zenodo (CERN European Organization for Nuclear Research). 10(4). 819–823. 1 indexed citations
14.
Valero, S., et al.. (2013). Feasibility of Recharging Electric Vehicles With Photovoltaic Solar Panels. 6(2). 24–30. 1 indexed citations
15.
Valero, S., et al.. (2012). Standardization of short-term load forecasting models. 1–7. 6 indexed citations
17.
Valero, S., et al.. (2010). Analysis of different testing parameters in Self-Organizing Maps for short-term load demand forecasting in Spain. 1–6. 3 indexed citations
18.
Valero, S., et al.. (2010). Comparative analysis of self organizing maps vs. multilayer perceptron neural networks for short-term load forecasting. 1–5. 12 indexed citations
19.
Gabaldón, Antonio, Antonio Guillamón, S. Valero, et al.. (2008). Development of a methodology for improving the effectiveness of customer response policies through electricity-price patterns. 1–8. 5 indexed citations
20.
Valero, S., Mario Ortíz, C. Senabre, et al.. (2007). Methods for customer and demand response policies selection in new electricity markets. IET Generation Transmission & Distribution. 1(1). 104–110. 111 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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