Víctor Ayala-Ramírez

950 total citations
50 papers, 683 citations indexed

About

Víctor Ayala-Ramírez is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Víctor Ayala-Ramírez has authored 50 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 14 papers in Aerospace Engineering and 8 papers in Control and Systems Engineering. Recurrent topics in Víctor Ayala-Ramírez's work include Robotics and Sensor-Based Localization (13 papers), Robotic Path Planning Algorithms (11 papers) and Advanced Vision and Imaging (9 papers). Víctor Ayala-Ramírez is often cited by papers focused on Robotics and Sensor-Based Localization (13 papers), Robotic Path Planning Algorithms (11 papers) and Advanced Vision and Imaging (9 papers). Víctor Ayala-Ramírez collaborates with scholars based in Mexico, France and Spain. Víctor Ayala-Ramírez's co-authors include Uriel H. Hernandez-Belmonte, Marco A. Contreras-Cruz, Raúl E. Sánchez-Yáñez, Carlos H. García-Capulín, P.J. Hogg, William W. Sampson, A. Gallegos-Muñoz, J. Arturo Alfaro-Ayala, A. M. Pérez García and Agustín Ramón Uribe Ramírez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Composites Science and Technology.

In The Last Decade

Víctor Ayala-Ramírez

45 papers receiving 656 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Víctor Ayala-Ramírez Mexico 11 426 141 130 126 93 50 683
Guangxin Li China 13 168 0.4× 118 0.8× 43 0.3× 83 0.7× 85 0.9× 43 509
Haoxiang Lang Canada 13 240 0.6× 176 1.2× 184 1.4× 273 2.2× 51 0.5× 73 845
Dong‐Joong Kang South Korea 17 458 1.1× 57 0.4× 158 1.2× 47 0.4× 88 0.9× 70 904
Devendra P. Garg United States 14 160 0.4× 103 0.7× 142 1.1× 356 2.8× 152 1.6× 92 786
Mingyu Gao China 16 438 1.0× 42 0.3× 63 0.5× 167 1.3× 180 1.9× 70 1.3k
Pavol Božek Slovakia 18 171 0.4× 98 0.7× 311 2.4× 287 2.3× 39 0.4× 85 859
Esmaeel Khanmirza Iran 12 306 0.7× 153 1.1× 116 0.9× 248 2.0× 95 1.0× 39 694
Michael Heizmann Germany 12 244 0.6× 42 0.3× 138 1.1× 42 0.3× 74 0.8× 133 616
Hongbin Deng China 16 211 0.5× 152 1.1× 127 1.0× 255 2.0× 82 0.9× 49 604
Jiyou Fei China 12 116 0.3× 94 0.7× 295 2.3× 100 0.8× 42 0.5× 53 639

Countries citing papers authored by Víctor Ayala-Ramírez

Since Specialization
Citations

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

Fields of papers citing papers by Víctor Ayala-Ramírez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Víctor Ayala-Ramírez. 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 Víctor Ayala-Ramírez. The network helps show where Víctor Ayala-Ramírez may publish in the future.

Co-authorship network of co-authors of Víctor Ayala-Ramírez

This figure shows the co-authorship network connecting the top 25 collaborators of Víctor Ayala-Ramírez. A scholar is included among the top collaborators of Víctor Ayala-Ramírez 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 Víctor Ayala-Ramírez. Víctor Ayala-Ramírez 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.
Carvajal, Luis A., et al.. (2019). Constructivism and learning by projects: environmental prospective strategies in the classroom of higher education. Revista ESPACIOS. 40(5).
2.
Contreras-Cruz, Marco A., et al.. (2019). Vision-Based Novelty Detection Using Deep Features and Evolved Novelty Filters for Specific Robotic Exploration and Inspection Tasks. Sensors. 19(13). 2965–2965. 7 indexed citations
3.
Contreras-Cruz, Marco A., et al.. (2019). A genetic programming framework in the automatic design of combination models for salient object detection. Genetic Programming and Evolvable Machines. 20(3). 285–325. 1 indexed citations
4.
Hernandez-Belmonte, Uriel H., et al.. (2018). Distributed Multirobot Exploration Based on Scene Partitioning and Frontier Selection. Mathematical Problems in Engineering. 2018. 1–17. 11 indexed citations
5.
Doucette, Emily A., et al.. (2018). Sensor Compromise Detection in Multiple-Target Tracking Systems. Sensors. 18(2). 638–638. 2 indexed citations
6.
Marı́n-Hernández, Antonio, et al.. (2018). Realistic and Automatic Map Generator for Mobile Robots. 50–55. 2 indexed citations
7.
Hernandez-Belmonte, Uriel H. & Víctor Ayala-Ramírez. (2016). Real-Time Hand Posture Recognition for Human-Robot Interaction Tasks. Sensors. 16(1). 36–36. 14 indexed citations
8.
Sánchez-Yáñez, Raúl E., et al.. (2014). Integration of color and texture cues in a rough set–based segmentation method. Journal of Electronic Imaging. 23(2). 23003–23003. 3 indexed citations
9.
Sánchez-Yáñez, Raúl E., et al.. (2012). Measuring empirical discrepancy in image segmentation results. IET Computer Vision. 6(3). 224–230. 2 indexed citations
10.
Ayala-Ramírez, Víctor, et al.. (2011). Quadrilateral Detection Using Genetic Algorithms. Computación y Sistemas. 15(2). 181–193. 7 indexed citations
11.
Ayala-Ramírez, Víctor, et al.. (2011). Periodicity and Texel Size Estimation of Visual Texture Using Entropy Cues. Computación y Sistemas. 14(3). 303–319. 5 indexed citations
12.
Gallegos-Muñoz, A., et al.. (2011). Optimization of the transition piece applying genetic algorithms. Applied Thermal Engineering. 31(16). 3214–3225. 20 indexed citations
13.
Ayala-Ramírez, Víctor, et al.. (2011). Noisy signal parameter identification using Particle Swarm Optimization. 142–146. 2 indexed citations
14.
Hernandez-Belmonte, Uriel H., Víctor Ayala-Ramírez, & Raúl E. Sánchez-Yáñez. (2011). A Comparative Review of Two-Pass Connected Component Labeling Algorithms. Lecture notes in computer science. 452–462. 11 indexed citations
15.
Valentín-Coronado, Luis M., Víctor Ayala-Ramírez, & Raúl E. Sánchez-Yáñez. (2009). Error modeling of mapping approaches using mobile robots. 29–32.
16.
Moreno-Hernández, D., et al.. (2008). 3D positioning of micro-spherical particles by using genetic algorithms. 21–22. 2 indexed citations
17.
Ayala-Ramírez, Víctor, et al.. (2006). Probability density function approximation using fuzzy rules. 220–222. 1 indexed citations
18.
García, A. M. Pérez, et al.. (2005). Bin-Packing Using Genetic Algorithms. 311–314. 7 indexed citations
19.
Ayala-Ramírez, Víctor, et al.. (2004). Modality control of an active camera for an object recognition task. 732. 14–17. 2 indexed citations
20.
Ayala-Ramírez, Víctor, et al.. (2003). Fuzzy Visual Servoing for an Active Camera.. Applied Informatics. 292–296. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026