Mariel Alfaro-Ponce

691 total citations
56 papers, 430 citations indexed

About

Mariel Alfaro-Ponce is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mariel Alfaro-Ponce has authored 56 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 14 papers in Biomedical Engineering and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mariel Alfaro-Ponce's work include EEG and Brain-Computer Interfaces (13 papers), Neuroscience and Neural Engineering (9 papers) and Neural Networks and Applications (7 papers). Mariel Alfaro-Ponce is often cited by papers focused on EEG and Brain-Computer Interfaces (13 papers), Neuroscience and Neural Engineering (9 papers) and Neural Networks and Applications (7 papers). Mariel Alfaro-Ponce collaborates with scholars based in Mexico, United States and France. Mariel Alfaro-Ponce's co-authors include Isaac Chaírez, Moisés Jiménez-Martínez, Luis Montesinos, Amadeo-José Argüelles-Cruz, Leandro Pecchia, Ralph Etienne‐Cummings, Rita Q. Fuentes‐Aguilar, Rogelio Lozano, Sergio Salazar and Miguel González-Mendoza and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Mariel Alfaro-Ponce

47 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mariel Alfaro-Ponce Mexico 11 118 82 75 73 59 56 430
Daniel Simões Lopes Portugal 18 214 1.8× 42 0.5× 74 1.0× 47 0.6× 31 0.5× 71 940
Auzuir Ripardo de Alexandria Brazil 12 232 2.0× 154 1.9× 133 1.8× 59 0.8× 53 0.9× 55 695
Sara Santos Portugal 5 59 0.5× 48 0.6× 32 0.4× 54 0.7× 105 1.8× 6 398
Johann Wannenburg South Africa 7 145 1.2× 63 0.8× 80 1.1× 20 0.3× 31 0.5× 14 392
Biswarup Ganguly India 11 34 0.3× 67 0.8× 27 0.4× 75 1.0× 43 0.7× 45 381
Parijat Deshpande India 10 78 0.7× 67 0.8× 99 1.3× 31 0.4× 25 0.4× 31 433
Xincheng Cao China 11 78 0.7× 141 1.7× 265 3.5× 111 1.5× 57 1.0× 11 599
Mariana Abreu Portugal 8 60 0.5× 37 0.5× 42 0.6× 57 0.8× 78 1.3× 13 402
Zhiyuan Li China 17 80 0.7× 234 2.9× 119 1.6× 134 1.8× 46 0.8× 54 764
Anam Abid Pakistan 12 71 0.6× 29 0.4× 118 1.6× 29 0.4× 95 1.6× 24 570

Countries citing papers authored by Mariel Alfaro-Ponce

Since Specialization
Citations

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

Fields of papers citing papers by Mariel Alfaro-Ponce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mariel Alfaro-Ponce. 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 Mariel Alfaro-Ponce. The network helps show where Mariel Alfaro-Ponce may publish in the future.

Co-authorship network of co-authors of Mariel Alfaro-Ponce

This figure shows the co-authorship network connecting the top 25 collaborators of Mariel Alfaro-Ponce. A scholar is included among the top collaborators of Mariel Alfaro-Ponce 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 Mariel Alfaro-Ponce. Mariel Alfaro-Ponce 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.
Alfaro-Ponce, Mariel, et al.. (2025). Printability prediction of food formulations for 3D printing using a Gaussian process regression model. Journal of Food Engineering. 395. 112534–112534. 3 indexed citations
2.
Serrano, Luís, Grissel Trujillo‐de Santiago, Mario Moisés Álvarez, et al.. (2025). Collaborative Heterogeneous Mini-Robotic 3D Printer for Manufacturing Complex Food Structures with Multiple Inks and Curved Deposition Surfaces. Micromachines. 16(3). 264–264.
3.
Jiménez-Martínez, Moisés, et al.. (2025). Enhancing energy absorption in printed PLA components through post-processing and topological optimization. Results in Engineering. 26. 104972–104972. 2 indexed citations
4.
Alfaro-Ponce, Mariel, et al.. (2024). Percepción en la atención de los servicios sanitarios del Centro de Salud Tipo C “El Paraíso”. LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades. 5(5).
5.
Jiménez-Martínez, Moisés, et al.. (2024). Long short-term memory based modeling of heat treatment and trigger mechanism effect on thin-walled aluminum 6063 T5 for crashworthiness. International Journal of Sustainable Engineering. 17(1). 97–108. 6 indexed citations
6.
7.
Chaírez, Isaac, et al.. (2023). Machine Learning Algorithms Applied to Predict Autism Spectrum Disorder Based on Gut Microbiome Composition. Biomedicines. 11(10). 2633–2633. 9 indexed citations
8.
Fuentes‐Aguilar, Rita Q., et al.. (2023). BiLSTM and SqueezeNet With Transfer Learning for EEG Motor Imagery Classification: Validation With Own Dataset. IEEE Access. 11. 136422–136436. 1 indexed citations
9.
Alfaro-Ponce, Mariel, et al.. (2023). Education in Mexico and technological public policy for developing complex thinking in the digital era: A model for technology management. Journal of Innovation & Knowledge. 8(4). 100439–100439. 9 indexed citations
10.
Iñíguez-Moreno, Maricarmen, Reyna Berenice González-González, Elda A. Flores-Contreras, et al.. (2023). Nano and Technological Frontiers as a Sustainable Platform for Postharvest Preservation of Berry Fruits. Foods. 12(17). 3159–3159. 15 indexed citations
11.
Montesinos, Luis, et al.. (2022). A machine learning approach for hypertension detection based on photoplethysmography and clinical data. Computers in Biology and Medicine. 145. 105479–105479. 26 indexed citations
12.
Fuentes‐Aguilar, Rita Q., et al.. (2022). Review on BCI Virtual Rehabilitation and Remote Technology Based on EEG for Assistive Devices. Applied Sciences. 12(23). 12253–12253. 13 indexed citations
13.
14.
Hernández‐Gilsoul, Thierry, et al.. (2022). Design and Additive Construction of a Video-Laryngoscope for Endotracheal Intubation of Adult Patients. Frontiers in Materials. 9. 2 indexed citations
15.
Alfaro-Ponce, Mariel, et al.. (2021). Full-face mask adapter as COVID-19 Personal Protective Equipment: design, tests and validation. IEEE Latin America Transactions. 19(6). 986–993. 3 indexed citations
16.
Montesinos, Luis, et al.. (2021). A review of machine learning in hypertension detection and blood pressure estimation based on clinical and physiological data. Biomedical Signal Processing and Control. 68. 102813–102813. 78 indexed citations
17.
Alfaro-Ponce, Mariel, et al.. (2019). Hierarchical artificial neural network modelling of aluminum alloy properties used in die casting. The International Journal of Advanced Manufacturing Technology. 104(1-4). 1541–1550. 5 indexed citations
18.
Alfaro-Ponce, Mariel, Amadeo-José Argüelles-Cruz, & Isaac Chaírez. (2014). Continuous neural identifier for uncertain nonlinear systems with time delays in the input signal. Neural Networks. 60. 53–66. 7 indexed citations
19.
20.
Alfaro-Ponce, Mariel, et al.. (2006). Evaluación y selección participativa de nuevas líneas de tomate (Lycopersicon esculentum Mill.) en la Provincia La Habana. SHILAP Revista de lepidopterología. 27(2). 81–85. 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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