Dante Mújica‐Vargas
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- Adaptive Control of Nonlinear Systems 5
- Media Technology top 5%
- Advanced Image Fusion Techniques 6
- Remote-Sensing Image Classification 6
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- Image Retrieval and Classification Techniques 8
- Image and Signal Denoising Methods 8
- Medical Image Segmentation Techniques 5
- Advanced Neural Network Applications 4
- Artificial Intelligence top 10%
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- Autonomous Vehicle Technology and Safety 4
- Co-authors
- José de Jesús RubioFrancisco J. Gallegos‐FunesJaime PachecoAlberto RosalesJesús Alberto Meda-CampañaG. GutiérrezGenaro OchoaRicardo Balcázar
- Partner nations
- MexicoUnited KingdomJapan
In The Last Decade
Dante Mújica‐Vargas
45 papers receiving 590 citations
Peers
Comparison fields: 5 of 105
- Control and Systems Engineering 231
- Media Technology 69
- Computer Vision and Pattern Recognition 156
- Artificial Intelligence 139
- Automotive Engineering 36
Countries citing papers authored by Dante Mújica‐Vargas
This map shows the geographic impact of Dante Mújica‐Vargas'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 Dante Mújica‐Vargas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dante Mújica‐Vargas more than expected).
Fields of papers citing papers by Dante Mújica‐Vargas
This network shows the impact of papers produced by Dante Mújica‐Vargas. 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 Dante Mújica‐Vargas. The network helps show where Dante Mújica‐Vargas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dante Mújica‐Vargas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 19 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 45 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 1 | |
| 14 | 2020 | 26 | |
| 15 | 2020 | 16 | |
| 16 | 2020 | 6 | |
| 17 | 2020 | 2 | |
| 18 | 2019 | 7 | |
| 19 | 2019 | 1 | |
| 20 | 2015 | 1 |
About Dante Mújica‐Vargas
Dante Mújica‐Vargas is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 53 papers that have together received 618 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (8 papers), Image and Signal Denoising Methods (8 papers), Advanced Image Fusion Techniques (6 papers), Remote-Sensing Image Classification (6 papers), Adaptive Control of Nonlinear Systems (5 papers), Medical Image Segmentation Techniques (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Control and Systems Engineering (231 citations), Media Technology (69 citations) and Computer Vision and Pattern Recognition (156 citations). Dante Mújica‐Vargas has collaborated with scholars based in Mexico, United Kingdom and Japan. Frequent co-authors include José de Jesús Rubio, Francisco J. Gallegos‐Funes, Jaime Pacheco, Alberto Rosales, Jesús Alberto Meda-Campaña, G. Gutiérrez, Genaro Ochoa, Ricardo Balcázar, Alejandro Zacarías and Enrique García. Their work appears in journals such as PLoS ONE, IEEE Access and Energy.
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.