M. Espinoza

718 total citations
12 papers, 569 citations indexed

About

M. Espinoza is a scholar working on Control and Systems Engineering, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, M. Espinoza has authored 12 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Control and Systems Engineering, 6 papers in Artificial Intelligence and 4 papers in Electrical and Electronic Engineering. Recurrent topics in M. Espinoza's work include Control Systems and Identification (6 papers), Neural Networks and Applications (5 papers) and Fault Detection and Control Systems (4 papers). M. Espinoza is often cited by papers focused on Control Systems and Identification (6 papers), Neural Networks and Applications (5 papers) and Fault Detection and Control Systems (4 papers). M. Espinoza collaborates with scholars based in Belgium and United States. M. Espinoza's co-authors include Johan A. K. Suykens, Ronnie Belmans, Bart De Moor, Bart De Moor, Ivan Goethals, Bert Pluymers, Johan Driesen, Vu Van Thong, Tony Van Gestel and Jan Vanthienen and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Power Systems and IEEE Control Systems.

In The Last Decade

M. Espinoza

12 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Espinoza Belgium 11 307 188 155 63 53 12 569
Cristiano Cervellera Italy 15 102 0.3× 172 0.9× 177 1.1× 71 1.1× 21 0.4× 62 668
Paris Mastorocostas Greece 10 154 0.5× 178 0.9× 355 2.3× 99 1.6× 88 1.7× 61 627
Jesús Soto Mexico 7 96 0.3× 79 0.4× 301 1.9× 108 1.7× 36 0.7× 17 508
Shun Chen China 15 263 0.9× 274 1.5× 85 0.5× 60 1.0× 20 0.4× 39 879
Zhaoyang Qu China 13 377 1.2× 334 1.8× 193 1.2× 27 0.4× 59 1.1× 87 754
Zhizhong Mao China 17 115 0.4× 334 1.8× 459 3.0× 46 0.7× 30 0.6× 58 853
G.A. Vijayalakshmi Pai India 12 98 0.3× 48 0.3× 153 1.0× 159 2.5× 32 0.6× 34 543
Kürşat Ayan Türkiye 12 503 1.6× 245 1.3× 169 1.1× 22 0.3× 20 0.4× 24 914
Jan Holst Sweden 13 119 0.4× 237 1.3× 121 0.8× 20 0.3× 29 0.5× 57 620
Muhammad Awais Pakistan 14 400 1.3× 96 0.5× 101 0.7× 49 0.8× 10 0.2× 34 581

Countries citing papers authored by M. Espinoza

Since Specialization
Citations

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

Fields of papers citing papers by M. Espinoza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Espinoza

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

All Works

12 of 12 papers shown
1.
Espinoza, M., Johan A. K. Suykens, Ronnie Belmans, & Bart De Moor. (2007). Electric Load Forecasting: Using Kernel-Based Modeling for Nonlinear System Identification. IEEE Control Systems. 27(5). 43–57. 37 indexed citations
2.
Herpe, Tom Van, M. Espinoza, Bert Pluymers, et al.. (2006). An adaptive input–output modeling approach for predicting the glycemia of critically ill patients. Physiological Measurement. 27(11). 1057–1069. 30 indexed citations
3.
Espinoza, M., Johan A. K. Suykens, & Bart De Moor. (2006). Imposing Symmetry in Least Squares Support Vector Machines Regression. 5716–5721. 16 indexed citations
4.
Espinoza, M., Bert Pluymers, Ivan Goethals, et al.. (2005). Optimal placement and sizing of distributed generator units using genetic optimization algorithms. 11(1). 97–104. 80 indexed citations
5.
Espinoza, M., Johan A. K. Suykens, & Bart De Moor. (2005). Kernel based partially linear models and nonlinear identification. IEEE Transactions on Automatic Control. 50(10). 1602–1606. 80 indexed citations
6.
Cock, Katrien De, et al.. (2005). Clustering time series, subspace identification and cepstral distances. Communications in Information and Systems. 5(1). 69–96. 17 indexed citations
7.
Pelckmans, Kristiaan, M. Espinoza, Jos De Brabanter, Johan A. K. Suykens, & Bart De Moor. (2005). Primal-Dual Monotone Kernel Regression. Neural Processing Letters. 22(2). 171–182. 24 indexed citations
8.
Espinoza, M., et al.. (2005). Short-Term Load Forecasting, Profile Identification, and Customer Segmentation: A Methodology Based on Periodic Time Series. IEEE Transactions on Power Systems. 20(3). 1622–1630. 200 indexed citations
9.
Espinoza, M., Johan A. K. Suykens, & Bart De Moor. (2004). Partially linear models and least squares support vector machines. 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601). 3388–3393 Vol.4. 14 indexed citations
10.
Espinoza, M., Johan A. K. Suykens, & Bart De Moor. (2004). Least squares support vector machines and primal space estimation. 15. 3451–3456. 24 indexed citations
11.
Gestel, Tony Van, M. Espinoza, Johan A. K. Suykens, Catherine Brasseur, & Bart De Moor. (2003). Bayesian input selection for nonlinear regression with LS-SVMS. IFAC Proceedings Volumes. 36(16). 555–560. 4 indexed citations
12.
Gestel, Tony Van, Bart Baesens, Johan A. K. Suykens, et al.. (2003). Bankruptcy prediction with least squares support vector machine classifiers. 1–8. 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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