Vincent Canals
Impact in
- Artificial Intelligence top 5%
- Neural Networks and Reservoir Computing
- Neural Networks and Applications
- Quantum Computing Algorithms and Architecture
- Evolutionary Algorithms and Applications
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
Papers in
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- Advanced Memory and Neural Computing 25
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- Neural Networks and Applications 23
- Neural Networks and Reservoir Computing 13
- Evolutionary Algorithms and Applications 7
- Stochastic Gradient Optimization Techniques 4
- Co-authors
- Josep L. Rosselló (41 shared papers)Antoni Morro (17 shared papers)Miquel L. Alomar (14 shared papers)Antonio Oliver (12 shared papers)Víctor Martínez-Moll (13 shared papers)M. Roca (16 shared papers)J. Verd (2 shared papers)E. Isern (7 shared papers)
- Journals
- International Journal of Neural Systems (4 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2 papers)Electronics (2 papers)PLoS ONE (1 paper)
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Vincent Canals
51 papers receiving 619 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 362
- Cognitive Neuroscience 180
- Electrical and Electronic Engineering 404
- Computer Networks and Communications 159
- Hardware and Architecture 21
Countries citing papers authored by Vincent Canals
This map shows the geographic impact of Vincent Canals'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 Vincent Canals with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vincent Canals more than expected).
Fields of papers citing papers by Vincent Canals
This network shows the impact of papers produced by Vincent Canals. 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 Vincent Canals. The network helps show where Vincent Canals may publish in the future.
Co-authors
The 25 scholars most cited alongside Vincent Canals, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 90 | |
| 2 | 2015 | 45 | |
| 3 | 2013 | 45 | |
| 4 | 2017 | 42 | |
| 5 | 2012 | 37 | |
| 6 | 2009 | 36 | |
| 7 | 2022 | 30 | |
| 8 | 2015 | 27 | |
| 9 | 2018 | 25 | |
| 10 | 2021 | 23 | |
| 11 | 2015 | 19 | |
| 12 | 2010 | 19 | |
| 13 | 2012 | 17 | |
| 14 | 2015 | 15 | |
| 15 | 2008 | 15 | |
| 16 | 2021 | 15 | |
| 17 | 2025 | 15 | |
| 18 | 2014 | 14 | |
| 19 | 2010 | 12 | |
| 20 | 2022 | 10 |
About Vincent Canals
Vincent Canals is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Cognitive Neuroscience and Renewable Energy, Sustainability and the Environment, having authored 56 papers that have together received 632 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (25 papers), Neural Networks and Applications (23 papers), Neural Networks and Reservoir Computing (13 papers), Neural dynamics and brain function (12 papers), Error Correcting Code Techniques (11 papers), Evolutionary Algorithms and Applications (7 papers), Solar Thermal and Photovoltaic Systems (4 papers) and Stochastic Gradient Optimization Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (362 citations), Cognitive Neuroscience (180 citations), Electrical and Electronic Engineering (404 citations), Computer Networks and Communications (159 citations) and Hardware and Architecture (21 citations). Vincent Canals has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Josep L. Rosselló, Antoni Morro, Miquel L. Alomar, Antonio Oliver, Víctor Martínez-Moll, M. Roca, J. Verd, E. Isern, J. Font and Pedro J. Ballester. Their work appears in journals such as International Journal of Neural Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Electronics and PLoS ONE.
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.