Mario Aldape-Pérez
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Co-authors
- Alejandro Rodríguez-MolinaMiguel Gabriel Villarreal-CervantesCornelio Yáñez-MárquézOscar Camacho-NietoEfrén Mezura‐MontesItzamá López-YáñezAmadeo-José Argüelles-CruzCarlos Rentería-Márquez
- Topics
- Evolutionary Algorithms and Applications (11 papers)Metaheuristic Optimization Algorithms Research (9 papers)Neural Networks and Applications (8 papers)
In The Last Decade
Mario Aldape-Pérez
39 papers receiving 532 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 233
- Control and Systems Engineering 156
- Computer Vision and Pattern Recognition 150
- Electrical and Electronic Engineering 60
- Information Systems 54
Countries citing papers authored by Mario Aldape-Pérez
This map shows the geographic impact of Mario Aldape-Pérez'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 Mario Aldape-Pérez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Aldape-Pérez more than expected).
Fields of papers citing papers by Mario Aldape-Pérez
This network shows the impact of papers produced by Mario Aldape-Pérez. 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 Mario Aldape-Pérez. The network helps show where Mario Aldape-Pérez may publish in the future.
Co-authorship network of co-authors of Mario Aldape-Pérez
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Aldape-Pérez. A scholar is included among the top collaborators of Mario Aldape-Pérez 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 Mario Aldape-Pérez. Mario Aldape-Pérez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 31 | |
| 8 | 16 | |
| 9 | 23 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 34 | |
| 13 | Emerging computational tools: impact on engineering education and computer science learning | 5 |
| 14 | 18 | |
| 15 | 15 | |
| 16 | 2 | |
| 17 | Selección de características utilizando el paradigma de memoria asociativa y computación paralela | 1 |
| 18 | A new tool for engineering education: hepatitis diagnosis using associative memories | 5 |
| 19 | 27 | |
| 20 | 5 |
About Mario Aldape-Pérez
Mario Aldape-Pérez is a scholar working on Computer Science Applications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 551 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (11 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (150 citations), Artificial Intelligence (233 citations) and Control and Systems Engineering (156 citations). Mario Aldape-Pérez has collaborated with scholars based in Mexico, Spain and Cuba. Frequent co-authors include Alejandro Rodríguez-Molina, Miguel Gabriel Villarreal-Cervantes, Cornelio Yáñez-Márquéz, Oscar Camacho-Nieto, Efrén Mezura‐Montes, Itzamá López-Yáñez, Amadeo-José Argüelles-Cruz, Carlos Rentería-Márquez, Yenny Villuendas-Rey and Wadee Alhalabi. Their work appears in journals such as Computers in Human Behavior, IEEE Access and Sensors.
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.