Héctor Allende

1.2k total citations
59 papers, 474 citations indexed

About

Héctor Allende is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Héctor Allende has authored 59 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 10 papers in Management Science and Operations Research. Recurrent topics in Héctor Allende's work include Neural Networks and Applications (10 papers), Face and Expression Recognition (7 papers) and Energy Load and Power Forecasting (6 papers). Héctor Allende is often cited by papers focused on Neural Networks and Applications (10 papers), Face and Expression Recognition (7 papers) and Energy Load and Power Forecasting (6 papers). Héctor Allende collaborates with scholars based in Chile, Germany and Spain. Héctor Allende's co-authors include Carlos Valle, Rodrigo Salas, Claudio Moraga, Esteban Gil, Henrik Madsen, Héctor Allende‐Cid, Alejandro C. Frery, Ignacio Araya, Luis Pizarro and Marcelo Mendoza and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Information Sciences.

In The Last Decade

Héctor Allende

52 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Héctor Allende Chile	11	186	130	83	59	53	59	474
Jiarong Shi China	12	215 1.2×	273 2.1×	95 1.1×	129 2.2×	47 0.9×	37	638
S. Askari Iran	11	254 1.4×	71 0.5×	114 1.4×	121 2.1×	28 0.5×	22	589
Georgy Shevlyakov Russia	13	112 0.6×	74 0.6×	51 0.6×	29 0.5×	17 0.3×	51	506
Talari Ganesh India	7	430 2.3×	66 0.5×	99 1.2×	32 0.5×	18 0.3×	37	696
Majid Bagheri Iran	13	54 0.3×	142 1.1×	62 0.7×	51 0.9×	27 0.5×	22	638
Claudio Moraga Germany	13	366 2.0×	127 1.0×	80 1.0×	62 1.1×	25 0.5×	111	717
Yongquan Zhang China	12	177 1.0×	56 0.4×	90 1.1×	39 0.7×	15 0.3×	40	415
Rasha M. Abd El-Aziz Saudi Arabia	15	166 0.9×	75 0.6×	54 0.7×	20 0.3×	36 0.7×	37	548
Xingwang Zhao China	12	393 2.1×	56 0.4×	159 1.9×	23 0.4×	42 0.8×	23	776

Countries citing papers authored by Héctor Allende

Since Specialization

Citations

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

Fields of papers citing papers by Héctor Allende

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Héctor Allende

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

All Works

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20 of 20 papers shown

Sánchez, Sergio, et al.. (2025). MRI Boundary-Aware Segmentation of Multiple Sclerosis Lesions Using a Novel Mahalanobis Distance Map. Applied Sciences. 15(19). 10629–10629.

Allende, Héctor, et al.. (2025). Zero-Day Threat Mitigation via Deep Learning in Cloud Environments. Applied Sciences. 15(14). 7885–7885.

Allende, Héctor, et al.. (2025). Use of Explainable Artificial Intelligence for Analyzing and Explaining Intrusion Detection Systems. Computers. 14(5). 160–160.

Valle, Carlos, et al.. (2024). SAG’s Overload Forecasting Using a CNN Physical Informed Approach. Applied Sciences. 14(24). 11686–11686. 3 indexed citations

Pavez, Juan & Héctor Allende. (2024). A Hybrid System Based on Bayesian Networks and Deep Learning for Explainable Mental Health Diagnosis. Applied Sciences. 14(18). 8283–8283. 6 indexed citations

Valle, Carlos, et al.. (2023). Machine learning applications for urban photovoltaic potential estimation: A survey. Neurocomputing. 526. 80–95. 3 indexed citations

Allende‐Cid, Héctor, et al.. (2023). Multilabel Text Classification with Label-Dependent Representation. Applied Sciences. 13(6). 3594–3594. 6 indexed citations

Valle, Carlos, et al.. (2023). Multi-step probabilistic forecasting model using deep learning parametrized distributions. Soft Computing. 27(14). 9479–9500. 2 indexed citations

Mendoza, Marcelo, et al.. (2016). Hashing-based clustering in high dimensional data. Expert Systems with Applications. 62. 202–211. 17 indexed citations

10.

Allende‐Cid, Héctor, et al.. (2016). SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System. International Journal of Computational Intelligence Systems. 9(3). 416–416. 6 indexed citations

11.

Allende, Héctor, et al.. (2016). Recurrent networks for wind speed forecasting. 12 (6 .)–12 (6 .). 1 indexed citations

12.

Mendoza, Marcelo, et al.. (2014). Query Intent Detection Based on Query Log Mining.. Journal of Web Engineering. 13. 24–52. 5 indexed citations

13.

Allende, Héctor, et al.. (2014). Robust Design in Multiobjective Systems using Taguchi’s Parameter Design Approach and a Pareto Genetic Algorithm. Revista Facultad de Ingeniería Universidad de Antioquia. 73–86. 6 indexed citations

14.

Sartori, Claudio, et al.. (2014). A novel Frank–Wolfe algorithm. Analysis and applications to large-scale SVM training. Information Sciences. 285. 66–99. 18 indexed citations

15.

Allende, Héctor, et al.. (2013). Novel Frank-Wolfe Methods for SVM Learning. arXiv (Cornell University). 1 indexed citations

16.

Allende‐Cid, Héctor, et al.. (2011). An Improved Fuzzy Rule-Based Automated Trading Agent. Studies in Informatics and Control. 20(2). 1 indexed citations

17.

Allende, Héctor, et al.. (2008). Proceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008. 18 indexed citations

18.

Allende, Héctor, et al.. (2004). A non-parametric filter for digital image restoration, using cluster analysis. Pattern Recognition Letters. 25(8). 841–847. 15 indexed citations

19.

Salas, Rodrigo, Romina Torres, Héctor Allende, & Claudio Moraga. (2003). Robust estimation of confidence interval in neural networks applied to time series. Lecture notes in computer science. 2687. 441–448. 1 indexed citations

20.

Allende, Héctor, Claudio Moraga, & Rodrigo Salas. (2002). Artificial neural networks in time series forecasting: a comparative analysis. Kybernetika. 38(6). 685–707. 48 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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