Carlos Maté

591 total citations
10 papers, 408 citations indexed

About

Carlos Maté is a scholar working on Management Science and Operations Research, Artificial Intelligence and Economics and Econometrics. According to data from OpenAlex, Carlos Maté has authored 10 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Science and Operations Research, 3 papers in Artificial Intelligence and 3 papers in Economics and Econometrics. Recurrent topics in Carlos Maté's work include Stock Market Forecasting Methods (7 papers), Forecasting Techniques and Applications (5 papers) and Energy Load and Power Forecasting (3 papers). Carlos Maté is often cited by papers focused on Stock Market Forecasting Methods (7 papers), Forecasting Techniques and Applications (5 papers) and Energy Load and Power Forecasting (3 papers). Carlos Maté collaborates with scholars based in Spain and United States. Carlos Maté's co-authors include Javier Arroyo, Rosa Espínola, Antonio Muñoz San Roque and Gloria González‐Rivera and has published in prestigious journals such as Energy Policy, Knowledge-Based Systems and International Journal of Forecasting.

In The Last Decade

Carlos Maté

10 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carlos Maté Spain	7	205	152	125	119	46	10	408
André Luis Santiago Maia Brazil	5	161 0.8×	92 0.6×	86 0.7×	66 0.6×	28 0.6×	10	296
Gholam Ali Raissi Ardali Iran	7	207 1.0×	133 0.9×	99 0.8×	52 0.4×	17 0.4×	9	362
Dadabada Pradeepkumar India	4	196 1.0×	101 0.7×	102 0.8×	94 0.8×	33 0.7×	6	317
A.N. Refenes United Kingdom	12	239 1.2×	61 0.4×	178 1.4×	205 1.7×	152 3.3×	27	503
Jarley P. Nóbrega Brazil	6	330 1.6×	131 0.9×	139 1.1×	154 1.3×	105 2.3×	7	473
Manrui Jiang China	9	255 1.2×	162 1.1×	104 0.8×	125 1.1×	81 1.8×	11	428
Tai-Liang Chen Taiwan	10	538 2.6×	127 0.8×	154 1.2×	284 2.4×	75 1.6×	36	685
Silvano Bordignon Italy	12	84 0.4×	139 0.9×	19 0.2×	181 1.5×	116 2.5×	26	407
Subanar Subanar Indonesia	12	184 0.9×	143 0.9×	97 0.8×	74 0.6×	10 0.2×	84	461

Countries citing papers authored by Carlos Maté

Since Specialization

Citations

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

Fields of papers citing papers by Carlos Maté

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlos Maté

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

All Works

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10 of 10 papers shown

Maté, Carlos. (2022). Forecasting in FOREX the spot price interval of tomorrow with the same information of today. An analysis of the seven majors using a linear regression model based on interval arithmetic. Knowledge-Based Systems. 258. 109923–109923. 7 indexed citations

Maté, Carlos. (2021). Combining Interval Time Series Forecasts. A First Step in a Long Way (Research Agenda). Revista Colombiana de Estadística. 44(1). 123–157. 2 indexed citations

Maté, Carlos, et al.. (2021). Forecasting exchange rates with the iMLP: New empirical insight on one multi-layer perceptron for interval time series (ITS). Engineering Applications of Artificial Intelligence. 104. 104358–104358. 23 indexed citations

Maté, Carlos. (2011). A Multivariate Analysis Approach to Forecasts Combination. Application to Foreign Exchange (FX) Markets. Revista Colombiana de Estadística. 34(2). 347–375. 6 indexed citations

Arroyo, Javier, Gloria González‐Rivera, Carlos Maté, & Antonio Muñoz San Roque. (2011). Smoothing methods for histogram‐valued time series: an application to value‐at‐risk. Statistical Analysis and Data Mining The ASA Data Science Journal. 4(2). 216–228. 11 indexed citations

Arroyo, Javier, Rosa Espínola, & Carlos Maté. (2010). Different Approaches to Forecast Interval Time Series: A Comparison in Finance. Computational Economics. 37(2). 169–191. 78 indexed citations

Maté, Carlos, et al.. (2009). Electric power demand forecasting using interval time series: A comparison between VAR and iMLP. Energy Policy. 38(2). 715–725. 125 indexed citations

Arroyo, Javier & Carlos Maté. (2008). Forecasting histogram time series with k-nearest neighbours methods. International Journal of Forecasting. 25(1). 192–207. 81 indexed citations

Roque, Antonio Muñoz San, et al.. (2007). iMLP: Applying Multi-Layer Perceptrons to Interval-Valued Data. Neural Processing Letters. 25(2). 157–169. 73 indexed citations

10.

Maté, Carlos, et al.. (2000). Exploring the characteristics of rotating electric machines with factor analysis. Journal of Applied Statistics. 27(8). 991–1006. 2 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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