Sergio Jurado

647 total citations
11 papers, 448 citations indexed

About

Sergio Jurado is a scholar working on Electrical and Electronic Engineering, Management Science and Operations Research and Automotive Engineering. According to data from OpenAlex, Sergio Jurado has authored 11 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 4 papers in Management Science and Operations Research and 2 papers in Automotive Engineering. Recurrent topics in Sergio Jurado's work include Smart Grid Energy Management (7 papers), Energy Load and Power Forecasting (5 papers) and Neural Networks and Applications (2 papers). Sergio Jurado is often cited by papers focused on Smart Grid Energy Management (7 papers), Energy Load and Power Forecasting (5 papers) and Neural Networks and Applications (2 papers). Sergio Jurado collaborates with scholars based in Spain, Belgium and Peru. Sergio Jurado's co-authors include Narcís Avellana, Mihail Mihaylov, Francisco Mugica, Àngela Nebot, Ann Nowé, Kristof Van Moffaert, Ildefons Magrans de Abril, Paulo Cortez, Juan E. Peralta and Roxana Rădulescu and has published in prestigious journals such as Energy, Renewable Energy and Applied Soft Computing.

In The Last Decade

Sergio Jurado

11 papers receiving 428 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergio Jurado Spain 7 325 171 127 58 52 11 448
Narcís Avellana Spain 5 305 0.9× 170 1.0× 122 1.0× 54 0.9× 44 0.8× 10 418
Amr Munshi Saudi Arabia 10 223 0.7× 80 0.5× 70 0.6× 58 1.0× 30 0.6× 25 402
C. Vyjayanthi India 12 287 0.9× 110 0.6× 120 0.9× 36 0.6× 15 0.3× 41 395
Dabeeruddin Syed United States 11 343 1.1× 70 0.4× 118 0.9× 52 0.9× 35 0.7× 26 501
Saima Aman United States 8 203 0.6× 97 0.6× 116 0.9× 107 1.8× 22 0.4× 14 439
Junwei Cao China 8 202 0.6× 160 0.9× 97 0.8× 101 1.7× 16 0.3× 24 376
Katie McConky United States 11 122 0.4× 65 0.4× 59 0.5× 83 1.4× 35 0.7× 22 336
Omaji Samuel Pakistan 16 346 1.1× 261 1.5× 185 1.5× 145 2.5× 12 0.2× 29 601
Kianoosh G. Boroojeni United States 13 490 1.5× 53 0.3× 256 2.0× 60 1.0× 66 1.3× 22 655
Evangelos Kotsakis Italy 11 374 1.2× 65 0.4× 166 1.3× 52 0.9× 21 0.4× 36 489

Countries citing papers authored by Sergio Jurado

Since Specialization
Citations

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

Fields of papers citing papers by Sergio Jurado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergio Jurado

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

All Works

11 of 11 papers shown
2.
Jurado, Sergio, Àngela Nebot, & Francisco Mugica. (2020). The Importance of Robust and Reliable Energy Prediction Models: Next Generation of Smart Meters. 248–254. 1 indexed citations
3.
Mihaylov, Mihail, et al.. (2018). Comparing stakeholder incentives across state-of-the-art renewable support mechanisms. Renewable Energy. 131. 689–699. 17 indexed citations
4.
Jurado, Sergio, Àngela Nebot, Francisco Mugica, & Mihail Mihaylov. (2016). Fuzzy inductive reasoning forecasting strategies able to cope with missing data: A smart grid application. Applied Soft Computing. 51. 225–238. 20 indexed citations
5.
Mihaylov, Mihail, Sergio Jurado, Narcís Avellana, et al.. (2015). SCANERGY: a Scalable and Modular System for Energy Trading Between Prosumers. Adaptive Agents and Multi-Agents Systems. 1917–1918. 13 indexed citations
6.
Jurado, Sergio, Àngela Nebot, Francisco Mugica, & Narcís Avellana. (2015). Hybrid methodologies for electricity load forecasting: Entropy-based feature selection with machine learning and soft computing techniques. Energy. 86. 276–291. 152 indexed citations
7.
Jurado, Sergio, Àngela Nebot, & Francisco Mugica. (2015). A Flexible Fuzzy Inductive Reasoning Approach for Load Modelling Able to Cope With Missing Data. QRU Quaderns de Recerca en Urbanisme. 1 indexed citations
8.
Mihaylov, Mihail, Sergio Jurado, Narcís Avellana, et al.. (2015). SCANERGY: a Scalable and Modular System for Energy Trading Between Prosumers (Demonstration). 2 indexed citations
9.
Mihaylov, Mihail, Sergio Jurado, Narcís Avellana, et al.. (2014). NRGcoin: Virtual currency for trading of renewable energy in smart grids. 1–6. 181 indexed citations
10.
Mihaylov, Mihail, Sergio Jurado, Kristof Van Moffaert, Narcís Avellana, & Ann Nowé. (2014). NRG-X-Change - A Novel Mechanism for Trading of Renewable Energy in Smart Grids. 101–106. 46 indexed citations
11.
Jurado, Sergio, Juan E. Peralta, Àngela Nebot, Francisco Mugica, & Paulo Cortez. (2013). Short-term electric load forecasting using computational intelligence methods. 1–8. 13 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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