C. Senabre

737 citations
35 papers · 562 · h-index 9

Impact in

Papers in

C. Senabre

32 papers receiving 540 citations

Peers

C. Senabre
Comparison fields: 5 of 60
  • Electrical and Electronic Engineering 471
  • Management Science and Operations Research 65
  • Building and Construction 67
  • Signal Processing 39
  • Control and Systems Engineering 76
Replace Xifeng Guo with:
Xifeng Guo China
Debopriya Roy Dipta United States
Mohammad Navid Fekri Canada
Dahua Gan China
Narjes Fallah Ireland
Dimitrios Bargiotas Greece
Franklin L. Quilumba Ecuador
Seungwon Jung South Korea
Joaquim Massana Spain
C. Senabre relative to Xifeng Guo China Xifeng Guo's profile →
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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-authors

The 8 scholars most cited alongside C. Senabre, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. Senabre Line = papers co-authored together C. Senabre links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006180
2 2007111
3 201283
4 201928
5 201724
6 201022
7 201317
8 201814
9
Comparative analysis of self organizing maps vs. multilayer perceptron neural networks for short-term load forecasting
201012
10 20128
11 20177
12 20126
13 20085
14 20224
15 20204
16 20174
17 20114
18 20114
19 20223
20
Analysis of different testing parameters in Self-Organizing Maps for short-term load demand forecasting in Spain
20103

About C. Senabre

C. Senabre is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Environmental Engineering, Civil and Structural Engineering and Management Science and Operations Research, having authored 35 papers that have together received 562 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (22 papers), Electric Power System Optimization (8 papers), Vehicle Dynamics and Control Systems (5 papers), Hydrological Forecasting Using AI (5 papers), Smart Grid Energy Management (5 papers), Brake Systems and Friction Analysis (5 papers), Grey System Theory Applications (4 papers) and Soil Mechanics and Vehicle Dynamics (4 papers). The work is most often cited by research in Electrical and Electronic Engineering (471 citations), Management Science and Operations Research (65 citations), Building and Construction (67 citations), Signal Processing (39 citations) and Control and Systems Engineering (76 citations). C. Senabre has collaborated with scholars based in Spain. Frequent co-authors include S. Valero, F.J.G. Franco, Antonio Gabaldón, Mario Ortíz, Carlos Álvarez-Bel, Juan Aparicio, Antonio Guillamón and Áurea Martínez. Their work appears in journals such as Energies, IET Generation Transmission & Distribution, IEEE Transactions on Power Systems, Electric Power Systems Research and Journal of Solar Energy Engineering.

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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