Felipe Núñez

1.2k total citations
77 papers, 857 citations indexed

About

Felipe Núñez is a scholar working on Computer Networks and Communications, Control and Systems Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Felipe Núñez has authored 77 papers receiving a total of 857 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 27 papers in Control and Systems Engineering and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Felipe Núñez's work include Fault Detection and Control Systems (12 papers), Advanced Control Systems Optimization (10 papers) and IoT and Edge/Fog Computing (8 papers). Felipe Núñez is often cited by papers focused on Fault Detection and Control Systems (12 papers), Advanced Control Systems Optimization (10 papers) and IoT and Edge/Fog Computing (8 papers). Felipe Núñez collaborates with scholars based in Chile, United States and United Kingdom. Felipe Núñez's co-authors include Aldo Cipriano, Yongqiang Wang, Francis J. Doyle, Mario Torres, Javier Pereda, Francis J. Doyle, Andrew R. Teel, José Rodríguez, María Rodriguez-Fernández and María Isabel Barriga and has published in prestigious journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

Felipe Núñez

70 papers receiving 831 citations

Peers

Felipe Núñez
Eugene Y. Song United States
George Moiş Romania
Salah Zidi Tunisia
Noman Haider Saudi Arabia
Shan Lu China
Uthman Baroudi Saudi Arabia
Felipe Núñez
Citations per year, relative to Felipe Núñez Felipe Núñez (= 1×) peers Орест Кочан

Countries citing papers authored by Felipe Núñez

Since Specialization
Citations

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

Fields of papers citing papers by Felipe Núñez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felipe Núñez

This figure shows the co-authorship network connecting the top 25 collaborators of Felipe Núñez. A scholar is included among the top collaborators of Felipe Núñez 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 Felipe Núñez. Felipe Núñez 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.
Gallegos, Javier A., Norelys Aguila‐Camacho, & Felipe Núñez. (2024). High-Gain Adaptive Control With Switching Derivation Order and Its Application to a Class of Multiagent Systems. IEEE Transactions on Systems Man and Cybernetics Systems. 54(7). 3960–3971.
2.
Torres, Mario, et al.. (2024). A Cyber–Physical System for Real-Time Physiological Data Monitoring and Analysis. IEEE Internet of Things Journal. 11(17). 28918–28930. 1 indexed citations
3.
Núñez, Felipe, et al.. (2024). Modeling Information in Industrial Cyber-Physical Systems Using Multilayer Graphs. 2. 108–117. 1 indexed citations
4.
Gallegos, Javier A., et al.. (2024). Stability Guarantees for a Class of Networked Control Systems Subject to Stochastic Delays. IEEE Transactions on Automatic Control. 69(12). 8884–8891. 2 indexed citations
5.
Gallegos, Javier A., et al.. (2024). Robust Adaptive Average Consensus Over a Time-Varying and Nonbalanced Environment. IEEE Transactions on Automatic Control. 69(8). 5577–5583. 2 indexed citations
6.
Andrade, David C., et al.. (2024). Deep Learning-Based Glucose Prediction Models: A Guide for Practitioners and a Curated Dataset for Improved Diabetes Management. IEEE Open Journal of Engineering in Medicine and Biology. 5. 467–475. 6 indexed citations
7.
Rodriguez-Fernández, María, et al.. (2023). A Probabilistic Approach to Blood Glucose Prediction in Type 1 Diabetes Under Meal Uncertainties. IEEE Journal of Biomedical and Health Informatics. 27(10). 5054–5065. 7 indexed citations
8.
Núñez, Felipe, et al.. (2023). A Reinforcement Learning-Based Distributed Control Scheme for Cooperative Intersection Traffic Control. IEEE Access. 11. 57037–57045. 11 indexed citations
9.
Gómez, Juan S., Freddy Flores‐Bahamonde, Luca Tarisciotti, et al.. (2023). Predictive Control for Current Distortion Mitigation in Mining Power Grids. Applied Sciences. 13(6). 3523–3523. 3 indexed citations
10.
Núñez, Felipe, et al.. (2023). Contrastive blind denoising autoencoder for real time denoising of industrial IoT sensor data. Engineering Applications of Artificial Intelligence. 120. 105838–105838. 19 indexed citations
11.
Morris, Brendan, et al.. (2022). A Cyberphysical System for Data-Driven Real-Time Traffic Prediction on the Las Vegas I-15 Freeway. IEEE Intelligent Transportation Systems Magazine. 15(1). 23–35. 5 indexed citations
12.
Pereda, Javier, et al.. (2022). Extended Kalman Filtering for Full-State Estimation and Sensor Reduction in Modular Multilevel Converters. IEEE Transactions on Industrial Electronics. 70(2). 1927–1938. 22 indexed citations
13.
Torres, Mario, et al.. (2022). Automatic Synthesis of Containerized Industrial Cyber-Physical Systems: A Case Study. IEEE Transactions on Industrial Informatics. 19(7). 8262–8273. 5 indexed citations
14.
Núñez, Felipe, et al.. (2022). Distributed Neural Network Observer for Submodule Capacitor Voltage Estimation in Modular Multilevel Converters. IEEE Transactions on Power Electronics. 37(9). 10306–10318. 20 indexed citations
15.
Cipriano, Aldo, et al.. (2021). Forecasting Copper Electrorefining Cathode Rejection by Means of Recurrent Neural Networks With Attention Mechanism. IEEE Access. 9. 79080–79088. 5 indexed citations
16.
Núñez, Felipe, et al.. (2021). On the Relation Between Peak Age and Stability in Control Loops Over Non-Beacon Enabled CSMA/CA. IEEE Communications Letters. 25(9). 3139–3143. 4 indexed citations
17.
Pereda, Javier, et al.. (2020). Denoising and Voltage Estimation in Modular Multilevel Converters Using Deep Neural-Networks. IEEE Access. 8. 207973–207981. 11 indexed citations
18.
Núñez, Felipe, et al.. (2020). Neuroevolutive Control of Industrial Processes Through Mapping Elites. IEEE Transactions on Industrial Informatics. 17(5). 3703–3713. 8 indexed citations
19.
Gómez, Juan S., José Rodríguez, Cristian García, et al.. (2020). An Overview of Microgrids Challenges in the Mining Industry. IEEE Access. 8. 191378–191393. 15 indexed citations
20.
Núñez, Felipe, et al.. (2019). An Industrial Internet Application for Real-Time Fault Diagnosis in Industrial Motors. IEEE Transactions on Automation Science and Engineering. 17(1). 284–295. 61 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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