Marcelo Espinoza

521 total citations
14 papers, 345 citations indexed

About

Marcelo Espinoza is a scholar working on Control and Systems Engineering, Artificial Intelligence and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Marcelo Espinoza has authored 14 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 5 papers in Artificial Intelligence and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Marcelo Espinoza's work include Neural Networks and Applications (5 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (4 papers) and Energy Load and Power Forecasting (4 papers). Marcelo Espinoza is often cited by papers focused on Neural Networks and Applications (5 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (4 papers) and Energy Load and Power Forecasting (4 papers). Marcelo Espinoza collaborates with scholars based in Belgium and United Kingdom. Marcelo Espinoza's co-authors include Bart De Moor, Johan A. K. Suykens, Ronnie Belmans, Bart De Moor, Greet Van den Berghe, Tom Van Herpe, Bert Pluymers, Niels Haverbeke, Kristiaan Pelckmans and Frank De Smet and has published in prestigious journals such as IEEE Control Systems, Journal of Diabetes Science and Technology and Journal of Forecasting.

In The Last Decade

Marcelo Espinoza

14 papers receiving 318 citations

Peers

Countries citing papers authored by Marcelo Espinoza

Since Specialization

Citations

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

Fields of papers citing papers by Marcelo Espinoza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcelo Espinoza

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Decomposition-Residuals Neural Networks: Hybrid System Identification Applied to Electricity Demand Forecasting 2022 ·IEEE Open Access Journal of Power and Energy ·(unknown), (unknown), Marcelo Espinoza, Bart De Moor	11
2	Vinculando el Repositorio Institucional Dspace con la Plataforma Virtual Moodle 2015 ·Marcelo Espinoza, (unknown), (unknown), (unknown), (unknown), (unknown)	1
3	Time Series Prediction using LS-SVMs 2008 ·Marcelo Espinoza, Tillmann Falck, Johan A. K. Suykens, Bart De Moor	4
4	Electric Load Forecasting 2007 ·IEEE Control Systems ·Marcelo Espinoza, Johan A. K. Suykens, Ronnie Belmans, Bart De Moor	114
5	Glycemia Prediction in Critically Ill Patients Using an Adaptive Modeling Approach 2007 ·Journal of Diabetes Science and Technology ·Tom Van Herpe, Marcelo Espinoza, Niels Haverbeke, Bart De Moor, Greet Van den Berghe	36
6	ADAPTIVE MODELING FOR CONTROL OF GLYCEMIA IN CRITICALLY ILL PATIENTS 2007 ·IFAC Proceedings Volumes ·Tom Van Herpe, Niels Haverbeke, Marcelo Espinoza, Greet Van den Berghe, Bart De Moor	2
7	USING KERNEL-BASED MODELING FOR NONLINEAR SYSTEM IDENTIFICATION 2007 ·Marcelo Espinoza, Ronnie Belmans, Bart De Moor	1
8	A minimal model for glycemia control in critically ill patients 2006 ·PubMed ·Tom Van Herpe, Bert Pluymers, Marcelo Espinoza, Greet Van den Berghe, Bart De Moor	30
9	LS-SVM REGRESSION WITH AUTOCORRELATED ERRORS 2006 ·IFAC Proceedings Volumes ·Marcelo Espinoza, Johan A. K. Suykens, Bart De Moor	13
10	Fixed-size Least Squares Support Vector Machines: A Large Scale Application in Electrical Load Forecasting 2006 ·Computational Management Science ·Marcelo Espinoza, Johan A. K. Suykens, Bart De Moor	73
11	DEVELOPMENT OF A CRITICALLY ILL PATIENT INPUT-OUTPUT MODEL 2006 ·IFAC Proceedings Volumes ·Tom Van Herpe, Marcelo Espinoza, Bert Pluymers, Pieter Wouters, Frank De Smet, Greet Van den Berghe, Bart De Moor	11
12	A Bayesian nonlinear support vector machine error correction model 2006 ·Journal of Forecasting ·Tony Van Gestel, Marcelo Espinoza, Bart Baesens, Johan A. K. Suykens, (unknown), Bart De Moor	9
13	Short Term Chaotic Time Series Prediction using Symmetric LS-SVM Regression 2005 ·Marcelo Espinoza, Johan A. K. Suykens, Bart De Moor	15
14	A comparative study of ls-svm’s applied to the silver box identification problem 2004 ·IFAC Proceedings Volumes ·Marcelo Espinoza, Kristiaan Pelckmans, (unknown), Johan A. K. Suykens, Bart De Moor	25

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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