Mario Aguilar
- Cognitive Neuroscience top 5%
- Media Technology top 1%
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 5%
- Social Psychology top 10%
- Co-authors
- Allen M. WaxmanJ. K. IjspeertAlexander ToetThom CarneyClaudio M. PriviteraColin HumphriesLeonardo FernandinoJeffrey R. Binder
- Topics
- Advanced Image Fusion Techniques (10 papers)Infrared Target Detection Methodologies (8 papers)CCD and CMOS Imaging Sensors (7 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Mario Aguilar
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Cognitive Neuroscience 478
- Media Technology 360
- Computer Vision and Pattern Recognition 322
- Aerospace Engineering 253
- Social Psychology 169
Countries citing papers authored by Mario Aguilar
This map shows the geographic impact of Mario Aguilar'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 Aguilar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Aguilar more than expected).
Fields of papers citing papers by Mario Aguilar
This network shows the impact of papers produced by Mario Aguilar. 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 Aguilar. The network helps show where Mario Aguilar may publish in the future.
Co-authorship network of co-authors of Mario Aguilar
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Aguilar. A scholar is included among the top collaborators of Mario Aguilar 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 Aguilar. Mario Aguilar 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 | 40 | |
| 3 | 62 | |
| 4 | 218 | |
| 5 | 8 | |
| 6 | 23 | |
| 7 | 130 | |
| 8 | 32 | |
| 9 | 32 | |
| 10 | 2 | |
| 11 | Facilitating User Interaction with Complex Systems via Hand Gesture Recognition | 16 |
| 12 | 18 | |
| 13 | 69 | |
| 14 | 17 | |
| 15 | Opponent-Color Fusion of Multi-Sensor Imagery: Visible, IR and SAR | 23 |
| 16 | 33 | |
| 17 | 102 | |
| 18 | 69 | |
| 19 | 11 | |
| 20 | 122 |
About Mario Aguilar
Mario Aguilar is a scholar working on Media Technology, Human-Computer Interaction and Cognitive Neuroscience, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (10 papers), Infrared Target Detection Methodologies (8 papers) and CCD and CMOS Imaging Sensors (7 papers). The work is most often cited by research in Media Technology (360 citations), Cognitive Neuroscience (478 citations) and Human-Computer Interaction (108 citations). Mario Aguilar has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Allen M. Waxman, J. K. Ijspeert, Alexander Toet, Thom Carney, Claudio M. Privitera, Colin Humphries, Leonardo Fernandino, Jeffrey R. Binder, Lisa L. Conant and Stanley A. Klein. Their work appears in journals such as Journal of Neuroscience, Cerebral Cortex and IEEE Transactions on Biomedical Engineering.
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.