Aníbal Bregón

1.1k total citations
55 papers, 632 citations indexed

About

Aníbal Bregón is a scholar working on Control and Systems Engineering, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Aníbal Bregón has authored 55 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Control and Systems Engineering, 27 papers in Artificial Intelligence and 7 papers in Aerospace Engineering. Recurrent topics in Aníbal Bregón's work include Fault Detection and Control Systems (38 papers), AI-based Problem Solving and Planning (21 papers) and Air Traffic Management and Optimization (7 papers). Aníbal Bregón is often cited by papers focused on Fault Detection and Control Systems (38 papers), AI-based Problem Solving and Planning (21 papers) and Air Traffic Management and Optimization (7 papers). Aníbal Bregón collaborates with scholars based in Spain, United States and Sweden. Aníbal Bregón's co-authors include Belarmino Pulido, Matthew Daigle, Indranil Roychoudhury, Miguel A. Martínez‐Prieto, Gautam Biswas, Carlos J. Alonso, Xenofon Koutsoukos, Jesús M. Zamarreño, Alejandro Merino and Mattias Krysander and has published in prestigious journals such as IEEE Access, Artificial Intelligence and Computers & Industrial Engineering.

In The Last Decade

Aníbal Bregón

54 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aníbal Bregón Spain 14 450 176 81 76 65 55 632
Yindong Ji China 12 263 0.6× 45 0.3× 75 0.9× 74 1.0× 139 2.1× 57 491
Mohamed-Salah Ouali Canada 13 302 0.7× 87 0.5× 129 1.6× 83 1.1× 151 2.3× 38 726
Hamed Khorasgani United States 12 254 0.6× 90 0.5× 44 0.5× 53 0.7× 47 0.7× 30 369
K. Verbert Netherlands 8 279 0.6× 91 0.5× 48 0.6× 65 0.9× 167 2.6× 9 505
Beike Zhang China 11 528 1.2× 120 0.7× 87 1.1× 58 0.8× 288 4.4× 35 737
Emília Villani Brazil 12 139 0.3× 44 0.3× 45 0.6× 135 1.8× 99 1.5× 74 515
Kenichi Ida Japan 15 306 0.7× 126 0.7× 67 0.8× 250 3.3× 10 0.2× 51 705
Rob Vingerhoeds France 11 256 0.6× 108 0.6× 24 0.3× 101 1.3× 81 1.2× 65 523
You Cao China 16 316 0.7× 361 2.1× 110 1.4× 10 0.1× 37 0.6× 52 882
Hong-Zhong Huang China 7 126 0.3× 54 0.3× 241 3.0× 38 0.5× 123 1.9× 12 560

Countries citing papers authored by Aníbal Bregón

Since Specialization
Citations

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

Fields of papers citing papers by Aníbal Bregón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aníbal Bregón

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

All Works

20 of 20 papers shown
1.
2.
García-Navarrete, Oscar Leonardo, Jesús Hernán Camacho-Tamayo, Aníbal Bregón, Jorge Martín‐García, & Luis Manuel Navas-Gracia. (2025). Performance Analysis of Real-Time Detection Transformer and You Only Look Once Models for Weed Detection in Maize Cultivation. Agronomy. 15(4). 796–796. 3 indexed citations
3.
Silvestre, J., et al.. (2024). Towards aircraft trajectory prediction using LSTM networks. 1059–1060. 1 indexed citations
4.
Bregón, Aníbal, et al.. (2024). Digital Twin Learning Ecosystem: A cyber–physical framework to integrate human-machine knowledge in traditional manufacturing. Internet of Things. 25. 101094–101094. 15 indexed citations
5.
Silvestre, J., et al.. (2024). Multi-Route Aircraft Trajectory Prediction Using Temporal Fusion Transformers. IEEE Access. 12. 174094–174106. 6 indexed citations
6.
Silvestre, J., Miguel A. Martínez‐Prieto, Aníbal Bregón, & Pedro C. Álvarez-Esteban. (2024). A deep learning-based approach for predicting in-flight estimated time of arrival. The Journal of Supercomputing. 80(12). 17212–17246. 7 indexed citations
7.
Bregón, Aníbal, et al.. (2022). Towards a connected Digital Twin Learning Ecosystem in manufacturing: Enablers and challenges. Computers & Industrial Engineering. 171. 108463–108463. 37 indexed citations
8.
Silvestre, J., et al.. (2021). On the Use of Deep Neural Networks to Improve Flights Estimated Time of Arrival Predictions. UVaDOC UVaDOC University of Valladolid Documentary Repository (University of Valladolid). 3–3. 2 indexed citations
9.
Bregón, Aníbal, et al.. (2021). A non-intrusive Industry 4.0 retrofitting approach for collaborative maintenance in traditional manufacturing. Computers & Industrial Engineering. 164. 107896–107896. 27 indexed citations
10.
Bregón, Aníbal, Matthew Daigle, & Indranil Roychoudhury. (2016). Qualitative Fault Isolation of Hybrid Systems: A Structural Model Decomposition-Based Approach. PHM Society European Conference. 3(1). 3 indexed citations
11.
Pulido, Belarmino, et al.. (2016). DxPCs: a toolbox for model-based diagnosis of dynamic systems using possible conflicts. Progress in Artificial Intelligence. 5(2). 111–120. 4 indexed citations
12.
Daigle, Matthew, Indranil Roychoudhury, & Aníbal Bregón. (2015). Model-based Prognostics of Hybrid Systems. Annual Conference of the PHM Society. 7(1). 9 indexed citations
13.
Daigle, Matthew, Indranil Roychoudhury, & Aníbal Bregón. (2014). Diagnosability-Based Sensor Placement through Structural Model Decomposition. PHM Society European Conference. 2(1). 7 indexed citations
14.
Bregón, Aníbal, Matthew Daigle, Indranil Roychoudhury, et al.. (2014). An event-based distributed diagnosis framework using structural model decomposition. Artificial Intelligence. 210. 1–35. 34 indexed citations
15.
Daigle, Matthew, Indranil Roychoudhury, & Aníbal Bregón. (2014). Qualitative Event-Based Fault Isolation under Uncertain Observations. Annual Conference of the PHM Society. 6(1). 4 indexed citations
16.
Bregón, Aníbal, Sriram Narasimhan, Indranil Roychoudhury, Matthew Daigle, & Belarmino Pulido. (2013). An Efficient Model-based Diagnosis Engine for Hybrid Systems using Structural Model Decomposition. Annual Conference of the PHM Society. 5(1). 2 indexed citations
17.
Pulido, Belarmino, Jesús M. Zamarreño, Alejandro Merino, & Aníbal Bregón. (2012). Using structural decomposition methods to design gray-box models for fault diagnosis of complex industrial systems: a beet sugar factory case study. PHM Society European Conference. 1(1). 5 indexed citations
18.
Daigle, Matthew, Aníbal Bregón, & Indranil Roychoudhury. (2012). A Distributed Approach to System-Level Prognostics. Annual Conference of the PHM Society. 4(1). 20 indexed citations
19.
Bregón, Aníbal, et al.. (2010). Combination of analytical and statistical models for dynamic systems fault diagnosis. Annual Conference of the PHM Society. 2(1). 1 indexed citations
20.
Frisk, Erik, Aníbal Bregón, Jan Åslund, et al.. (2010). Diagnosability Analysis Considering Causal Interpretations for Differential Constrain. Annual Conference of the PHM Society. 2(2). 6 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yindong Ji Breakdown of academic impact, for papers by Mohamed-Salah Ouali Breakdown of academic impact, for papers by Hamed Khorasgani Breakdown of academic impact, for papers by K. Verbert Breakdown of academic impact, for papers by Beike Zhang Breakdown of academic impact, for papers by Emília Villani Breakdown of academic impact, for papers by Kenichi Ida Breakdown of academic impact, for papers by Rob Vingerhoeds Breakdown of academic impact, for papers by You Cao Breakdown of academic impact, for papers by Hong-Zhong Huang
Rankless by CCL
2026