Gabriel Hermosilla

971 total citations
41 papers, 688 citations indexed

About

Gabriel Hermosilla is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Gabriel Hermosilla has authored 41 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 6 papers in Mechanical Engineering. Recurrent topics in Gabriel Hermosilla's work include Face recognition and analysis (11 papers), Face and Expression Recognition (9 papers) and Mineral Processing and Grinding (4 papers). Gabriel Hermosilla is often cited by papers focused on Face recognition and analysis (11 papers), Face and Expression Recognition (9 papers) and Mineral Processing and Grinding (4 papers). Gabriel Hermosilla collaborates with scholars based in Chile, Spain and France. Gabriel Hermosilla's co-authors include Francisco Pizarro, Rodrigo Verschae, Javier Ruiz‐del‐Solar, Gonzalo Farías, Mauricio Correa, Víctor Cifuentes, Esteban Vera, Salvador Barahona, Irene Morales‐Bozo and Blanca Urzúa and has published in prestigious journals such as IEEE Access, Sensors and Pattern Recognition.

In The Last Decade

Gabriel Hermosilla

36 papers receiving 653 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gabriel Hermosilla Chile 16 243 109 102 89 81 41 688
Sachin Goyal India 17 121 0.5× 65 0.6× 104 1.0× 125 1.4× 22 0.3× 99 1.0k
Rishav Singh India 12 165 0.7× 11 0.1× 66 0.6× 57 0.6× 12 0.1× 35 575
Luis Miguel Soria Morillo Spain 10 401 1.7× 19 0.2× 79 0.8× 59 0.7× 3 0.0× 31 678
Amandeep Kaur India 14 527 2.2× 18 0.2× 28 0.3× 42 0.5× 4 0.0× 90 883
S. Karthikeyan India 12 108 0.4× 35 0.3× 125 1.2× 78 0.9× 3 0.0× 74 431
SM Apoorva India 7 115 0.5× 11 0.1× 27 0.3× 30 0.3× 64 0.8× 17 442
Jiawen Chen China 11 213 0.9× 15 0.1× 80 0.8× 57 0.6× 3 0.0× 21 759
Lijun Zhao China 19 465 1.9× 277 2.5× 108 1.1× 92 1.0× 98 1.1k
Aqilah Baseri Huddin Malaysia 11 146 0.6× 65 0.6× 69 0.7× 79 0.9× 1 0.0× 38 557
Qiang Bai China 11 215 0.9× 51 0.5× 57 0.6× 93 1.0× 3 0.0× 42 851

Countries citing papers authored by Gabriel Hermosilla

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Hermosilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Hermosilla

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Hermosilla. A scholar is included among the top collaborators of Gabriel Hermosilla 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 Gabriel Hermosilla. Gabriel Hermosilla 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.
Hermosilla, Gabriel, et al.. (2025). Deep Reinforcement Learning for Sim-to-Real Robot Navigation with a Minimal Sensor Suite for Beach-Cleaning Applications. Applied Sciences. 15(19). 10719–10719.
3.
Hermosilla, Gabriel, et al.. (2024). RL-Based Sim2Real Enhancements for Autonomous Beach-Cleaning Agents. Applied Sciences. 14(11). 4602–4602. 2 indexed citations
4.
Hermosilla, Gabriel, et al.. (2023). Automated Detection and Analysis of Massive Mining Waste Deposits Using Sentinel-2 Satellite Imagery and Artificial Intelligence. Remote Sensing. 15(20). 4949–4949. 5 indexed citations
5.
Hermosilla, Gabriel, et al.. (2023). High-Frequency Parametric Study of Electroplated Conductive Filaments in 3D Printed Microwave Topologies. 3D Printing and Additive Manufacturing. 11(6). 1939–1948. 1 indexed citations
6.
Hermosilla, Gabriel, et al.. (2023). Resource Allocation in Multicore Elastic Optical Networks: A Deep Reinforcement Learning Approach. Complexity. 2023. 1–13. 9 indexed citations
7.
Hermosilla, Gabriel, et al.. (2023). Advanced Deep Learning Techniques for High-Quality Synthetic Thermal Image Generation. Mathematics. 11(21). 4446–4446. 1 indexed citations
8.
Farías, Gonzalo, et al.. (2022). Detection of Human Gait Phases Using Textile Pressure Sensors: A Low Cost and Pervasive Approach. Sensors. 22(8). 2825–2825. 6 indexed citations
9.
Hermosilla, Gabriel, et al.. (2022). Position Control of a Mobile Robot through Deep Reinforcement Learning. Applied Sciences. 12(14). 7194–7194. 15 indexed citations
10.
Pacheco, Fernando António Leal, Gabriel Hermosilla, Gabriel Villavicencio, et al.. (2022). Generation of Synthetic Data for the Analysis of the Physical Stability of Tailing Dams through Artificial Intelligence. Mathematics. 10(23). 4396–4396. 6 indexed citations
11.
Villavicencio, Gabriel, et al.. (2021). Estimation of Moisture Content in Thickened Tailings Dams: Machine Learning Techniques Applied to Remote Sensing Images. IEEE Access. 9. 16988–16998. 8 indexed citations
12.
Pizarro, Francisco, et al.. (2019). Parametric Study of 3D Additive Printing Parameters Using Conductive Filaments on Microwave Topologies. IEEE Access. 7. 106814–106823. 55 indexed citations
13.
Farías, Gonzalo, Ernesto Fábregas, Héctor Vargas, et al.. (2018). A Neural Network Approach for Building An Obstacle Detection Model by Fusion of Proximity Sensors Data. Sensors. 18(3). 683–683. 19 indexed citations
14.
Farías, Gonzalo, et al.. (2018). Clasificador de Noticias usando Autoencoders. 1–6.
15.
Farías, Gonzalo, S. Dormido-Canto, J. Vega, et al.. (2016). Automatic feature extraction in large fusion databases by using deep learning approach. Fusion Engineering and Design. 112. 979–983. 30 indexed citations
16.
Hermosilla, Gabriel, Francisco Gallardo, Gonzalo Farías, & César Martı́n. (2015). Fusion of Visible and Thermal Descriptors Using Genetic Algorithms for Face Recognition Systems. Sensors. 15(8). 17944–17962. 25 indexed citations
17.
Correa, Mauricio, Gabriel Hermosilla, Rodrigo Verschae, & Javier Ruiz‐del‐Solar. (2011). Human Detection and Identification by Robots Using Thermal and Visual Information in Domestic Environments. Journal of Intelligent & Robotic Systems. 66(1-2). 223–243. 50 indexed citations
18.
Urzúa, Blanca, Gabriel Hermosilla, Jorge Gamonal, et al.. (2008). Yeast diversity in the oral microbiota of subjects with periodontitis:Candida albicansandCandida dubliniensiscolonize the periodontal pockets. Medical Mycology. 46(8). 783–793. 96 indexed citations
19.
Martı́nez, Claudio, et al.. (1998). Genetic transformation of astaxanthin mutants of Phaffia rhodozyma. Antonie van Leeuwenhoek. 73(2). 147–153. 9 indexed citations
20.
León, Rubén, et al.. (1998). Complementation analysis with new genetic markers in Phaffia rhodozyma. Antonie van Leeuwenhoek. 73(3). 229–236. 15 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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