J. Cloutier
Impact in
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Neural Networks and Applications
- Machine Learning and Data Classification
- Evolutionary Algorithms and Applications
- Topic Modeling
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
Papers in
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- Neural Networks and Applications 5
- Metaheuristic Optimization Algorithms Research 2
- Fuzzy Logic and Control Systems 1
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- Advanced Memory and Neural Computing 2
- VLSI and FPGA Design Techniques 1
- Co-authors
- Samy Bengio (4 shared papers)Yoshua Bengio (1 shared paper)Yoshua Bengio (3 shared papers)P. Simard (2 shared papers)Eric Cosatto (1 shared paper)E. Cerny (2 shared papers)E.M. Aboulhamid (1 shared paper)Guy Bois (1 shared paper)
- Journals
- Neural Processing Letters (1 paper)PubMed (1 paper)Simulation Practice and Theory (1 paper)IEEE Design & Test of Computers (1 paper)PolyPublie (École Polytechnique de Montréal) (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
J. Cloutier
8 papers receiving 247 citations
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 182
- Computer Vision and Pattern Recognition 105
- Hardware and Architecture 16
- Media Technology 12
- Signal Processing 14
Countries citing papers authored by J. Cloutier
This map shows the geographic impact of J. Cloutier'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 J. Cloutier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Cloutier more than expected).
Fields of papers citing papers by J. Cloutier
This network shows the impact of papers produced by J. Cloutier. 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 J. Cloutier. The network helps show where J. Cloutier may publish in the future.
Co-authors
The 8 scholars most cited alongside J. Cloutier, 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 | 1991 | 106 | |
| 2 | 2013 | 72 | |
| 3 | 2002 | 36 | |
| 4 | 2002 | 24 | |
| 5 | 1995 | 19 | |
| 6 | 2002 | 7 | |
| 7 | 1988 | 5 | |
| 8 | 1997 | 5 | |
| 9 | 1990 | 0 |
About J. Cloutier
J. Cloutier is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 274 indexed citations. Recurring topics across this work include Neural Networks and Applications (5 papers), Metaheuristic Optimization Algorithms Research (2 papers), Advanced Memory and Neural Computing (2 papers), Fuzzy Logic and Control Systems (1 paper), VLSI and FPGA Design Techniques (1 paper), VLSI and Analog Circuit Testing (1 paper), Neural Networks Stability and Synchronization (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (182 citations), Computer Vision and Pattern Recognition (105 citations), Hardware and Architecture (16 citations), Media Technology (12 citations) and Signal Processing (14 citations). J. Cloutier has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Samy Bengio, Yoshua Bengio, Yoshua Bengio, P. Simard, Eric Cosatto, E. Cerny, E.M. Aboulhamid and Guy Bois. Their work appears in journals such as Neural Processing Letters, PubMed, Simulation Practice and Theory, IEEE Design & Test of Computers and PolyPublie (École Polytechnique de Montréal).
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.