Nicolas Pinto
Impact in
-
- Face and Expression Recognition
- Face recognition and analysis
- Advanced Image and Video Retrieval Techniques
- Visual Attention and Saliency Detection
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Face Recognition and Perception
Papers in
-
- Face and Expression Recognition 8
- Advanced Image and Video Retrieval Techniques 6
- Face recognition and analysis 6
- Co-authors
- David Cox (13 shared papers)James J. DiCarlo (7 shared papers)Andreas Klöckner (2 shared papers)Yunsup Lee (2 shared papers)Ahmed R. Fasih (2 shared papers)Bryan Catanzaro (2 shared papers)Paul Ivanov (2 shared papers)Najib J. Majaj (2 shared papers)
- Journals
- PLoS Computational Biology (3 papers)Image and Vision Computing (1 paper)Parallel Computing (1 paper)IEEE Transactions on Information Forensics and Security (1 paper)Digital Access to Scholarship at Harvard (DASH) (Harvard University) (1 paper)
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
Nicolas Pinto
18 papers receiving 1.9k citations
Nicolas Pinto's Hit Papers
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 883
- Cognitive Neuroscience 522
- Hardware and Architecture 152
- Signal Processing 170
- Artificial Intelligence 445
Countries citing papers authored by Nicolas Pinto
This map shows the geographic impact of Nicolas Pinto'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 Nicolas Pinto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Pinto more than expected).
Fields of papers citing papers by Nicolas Pinto
This network shows the impact of papers produced by Nicolas Pinto. 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 Nicolas Pinto. The network helps show where Nicolas Pinto may publish in the future.
Co-authors
The 21 scholars most cited alongside Nicolas Pinto, 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 | 2014 | 397 | |
| 2 | 2008 | 359 | |
| 3 | PyCUDA and PyOpenCL: A scripting-based approach to GPU run-time code generation Hit paper breakdown → | 2011 | 356 |
| 4 | 2009 | 162 | |
| 5 | 2009 | 135 | |
| 6 | 2011 | 132 | |
| 7 | 2011 | 78 | |
| 8 | 2013 | 74 | |
| 9 | PyCUDA: GPU Run-Time Code Generation for High-Performance Computing | 2009 | 54 |
| 10 | 2011 | 47 | |
| 11 | 2012 | 42 | |
| 12 | Establishing Good Benchmarks and Baselines for Face Recognition | 2008 | 32 |
| 13 | 2014 | 26 | |
| 14 | 2009 | 9 | |
| 15 | 2012 | 7 | |
| 16 | 2012 | 2 | |
| 17 | 2015 | 1 | |
| 18 | 2014 | 1 |
About Nicolas Pinto
Nicolas Pinto is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Cognitive Neuroscience, Hardware and Architecture and Computer Networks and Communications, having authored 18 papers that have together received 1.9k indexed citations. Recurring topics across this work include Face and Expression Recognition (8 papers), Advanced Image and Video Retrieval Techniques (6 papers), Face recognition and analysis (6 papers), Visual perception and processing mechanisms (3 papers), Parallel Computing and Optimization Techniques (3 papers), Face Recognition and Perception (2 papers), Embedded Systems Design Techniques (2 papers) and Neural dynamics and brain function (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (883 citations), Cognitive Neuroscience (522 citations), Hardware and Architecture (152 citations), Signal Processing (170 citations) and Artificial Intelligence (445 citations). Nicolas Pinto has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include David Cox, James J. DiCarlo, Andreas Klöckner, Yunsup Lee, Ahmed R. Fasih, Bryan Catanzaro, Paul Ivanov, Najib J. Majaj, Daniel Yamins and Charles F. Cadieu. Their work appears in journals such as PLoS Computational Biology, Image and Vision Computing, Parallel Computing, IEEE Transactions on Information Forensics and Security and Digital Access to Scholarship at Harvard (DASH) (Harvard University).
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.