Héctor Puebla

799 total citations
74 papers, 595 citations indexed

About

Héctor Puebla is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Héctor Puebla has authored 74 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Control and Systems Engineering, 18 papers in Computer Networks and Communications and 15 papers in Statistical and Nonlinear Physics. Recurrent topics in Héctor Puebla's work include Nonlinear Dynamics and Pattern Formation (17 papers), Advanced Control Systems Optimization (13 papers) and Chaos control and synchronization (12 papers). Héctor Puebla is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (17 papers), Advanced Control Systems Optimization (13 papers) and Chaos control and synchronization (12 papers). Héctor Puebla collaborates with scholars based in Mexico, United States and Canada. Héctor Puebla's co-authors include José Álvarez‐Ramírez, Eliseo Hernández‐Martínez, Ricardo Aguilar‐López, Hugo Oscar Méndez‐Acosta, Ilse Cervantes, Gilberto Espinosa-Paredes, Sergio A. Martínez‐Delgadillo, J. Alberto Ochoa‐Tapia, Francisco J. Valdés‐Parada and J. Ramírez-Muñoz and has published in prestigious journals such as Journal of Hazardous Materials, Chemical Engineering Journal and Industrial & Engineering Chemistry Research.

In The Last Decade

Héctor Puebla

72 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Héctor Puebla Mexico 14 148 134 105 98 90 74 595
Ricardo Aguilar‐López Mexico 19 282 1.9× 615 4.6× 254 2.4× 189 1.9× 222 2.5× 170 1.4k
Brahim Cherki Algeria 13 47 0.3× 384 2.9× 101 1.0× 32 0.3× 50 0.6× 48 605
Jian Wu China 20 64 0.4× 1.1k 7.9× 327 3.1× 147 1.5× 147 1.6× 91 1.5k
Dawei Zhang China 19 32 0.2× 643 4.8× 207 2.0× 149 1.5× 211 2.3× 83 1.5k
Alejandro Zacarías Mexico 15 50 0.3× 126 0.9× 41 0.4× 290 3.0× 67 0.7× 39 680
Jiang Wang China 17 53 0.4× 260 1.9× 42 0.4× 61 0.6× 27 0.3× 53 670
J. A. Ramos United States 16 47 0.3× 349 2.6× 11 0.1× 57 0.6× 174 1.9× 74 739
Gaetano Continillo Italy 15 91 0.6× 54 0.4× 26 0.2× 95 1.0× 65 0.7× 55 687
J.P. Babary France 12 30 0.2× 326 2.4× 44 0.4× 27 0.3× 18 0.2× 41 431

Countries citing papers authored by Héctor Puebla

Since Specialization
Citations

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

Fields of papers citing papers by Héctor Puebla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Héctor Puebla

This figure shows the co-authorship network connecting the top 25 collaborators of Héctor Puebla. A scholar is included among the top collaborators of Héctor Puebla 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 Puebla. Héctor Puebla 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.
Puebla, Héctor, et al.. (2025). Particle Size Effect on Biodegradability and Kinetics During Anaerobic Digestion of Fruit and Vegetable Waste. Processes. 13(4). 937–937. 1 indexed citations
2.
Avilés‐Cruz, Carlos, et al.. (2025). Deep learning model for flow regime identification in mixing tanks from pressure signals. Flow Measurement and Instrumentation. 106. 102958–102958. 1 indexed citations
3.
Puebla, Héctor, et al.. (2024). Particle Size Effect on Anaerobic Digestion of Fruit and Vegetable Waste. Fermentation. 10(9). 485–485. 6 indexed citations
4.
Puebla, Héctor, et al.. (2023). Temperature sensor location for the implementation of cascade control schemes in distillation columns: an approach based on multiscale time series analysis. International Journal of Chemical Reactor Engineering. 21(11). 1337–1349.
5.
Ricardez‐Sandoval, Luis, et al.. (2023). Robust control designs for microalgae cultivation in continuous photobioreactors. International Journal of Chemical Reactor Engineering. 21(4). 521–535. 2 indexed citations
6.
Puebla, Héctor, et al.. (2022). Robust Control Based on Modeling Error Compensation of Microalgae Anaerobic Digestion. Fermentation. 9(1). 34–34.
7.
Hernández‐Martínez, Eliseo, et al.. (2021). Indirect Monitoring of Anaerobic Digestion for Cheese Whey Treatment. Processes. 9(3). 539–539. 3 indexed citations
8.
Puebla, Héctor, et al.. (2020). A Novel Up-Flow Anaerobic Sludge Blanket Solid-State Reactor for the Treatment of Fruit and Vegetable Waste. Environmental Engineering Science. 37(5). 373–381. 5 indexed citations
9.
Méndez‐Acosta, Hugo Oscar, et al.. (2018). Fractal Analysis of pH Time-Series of an Anaerobic Digester for Cheese Whey Treatment. International Journal of Chemical Reactor Engineering. 16(11). 5 indexed citations
10.
Puebla, Héctor, et al.. (2017). Non-Isothermal Effectiveness Factor for Catalytic Particles with Non-Fickian Diffusion. International Journal of Chemical Reactor Engineering. 15(5). 8 indexed citations
11.
Puebla, Héctor, et al.. (2017). Robust Cascade Control for Chemical Reactors: An Approach based on Modelling Error Compensation. International Journal of Chemical Reactor Engineering. 15(6). 6 indexed citations
12.
Pérez, Pablo Antonio López, et al.. (2016). Comparison Tools for Parametric Identification of Kinetic Model for Ethanol Production using Evolutionary Optimization Approach. International Journal of Chemical Reactor Engineering. 14(6). 1201–1209. 13 indexed citations
13.
Méndez‐Acosta, Hugo Oscar, et al.. (2013). Monitoring anaerobic sequential batch reactors via fractal analysis of pH time series. Biotechnology and Bioengineering. 110(8). 2131–2139. 19 indexed citations
14.
Hernández‐Martínez, Eliseo, et al.. (2013). SPATIOTEMPORAL DYNAMICS OF TELEGRAPH REACTION-DIFFUSION PREDATOR-PREY MODELS. 268–281. 1 indexed citations
15.
Puebla, Héctor, et al.. (2012). Dynamic Optimization and Robust Control of Batch Crystallization. Procedia Engineering. 42. 471–481. 3 indexed citations
16.
Hernández‐Martínez, Eliseo, Héctor Puebla, & José Álvarez‐Ramírez. (2010). Cascade Control Scheme for Tubular Reactors with Multiple Temperature Measurements. International Journal of Chemical Reactor Engineering. 8(1). 3 indexed citations
17.
Puebla, Héctor, et al.. (2008). Removal of Cr(VI) from wastewaters at semi-industrial electrochemical reactors with rotating ring electrodes. Journal of Hazardous Materials. 163(2-3). 1221–1229. 36 indexed citations
18.
Puebla, Héctor & José Álvarez‐Ramírez. (2005). A Cascade Feedback Control Approach for Hypnosis. Annals of Biomedical Engineering. 33(10). 1449–1463. 11 indexed citations
19.
Sosa, E., et al.. (2004). MULTIFRACTALITY IN AN ELECTROCHEMICAL NOISE SIGNAL BY A BIOCORROSION SYSTEM. Fractals. 12(3). 347–354. 7 indexed citations
20.
Puebla, Héctor & José Álvarez‐Ramírez. (2000). Proportional–integral feedback demodulation for secure communications. Physics Letters A. 276(5-6). 245–256. 4 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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