Charles Dugas
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Finance
- Electrical and Electronic Engineering
- Co-authors
- Yoshua BengioClaude NadeauFrançois BélisleRené GarcíaNicolas ChapadosPascal VincentLinyan MengJoumana Ghosn
- Topics
- Ancient Mediterranean Archaeology and History (3 papers)Classical Antiquity Studies (3 papers)Neural Networks and Applications (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceManagement Science and Operations Research
- Journals
- Machine LearningJournal of Machine Learning ResearchInternational Journal of Business Intelligence and Data Mining
- Partner nations
- Canada
In The Last Decade
Charles Dugas
9 papers receiving 185 citations
Peers
Comparison fields: 5 of 78
- Artificial Intelligence 77
- Computer Vision and Pattern Recognition 54
- Management Science and Operations Research 29
- Finance 21
- Electrical and Electronic Engineering 17
Countries citing papers authored by Charles Dugas
This map shows the geographic impact of Charles Dugas'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 Charles Dugas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Dugas more than expected).
Fields of papers citing papers by Charles Dugas
This network shows the impact of papers produced by Charles Dugas. 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 Charles Dugas. The network helps show where Charles Dugas may publish in the future.
Co-authorship network of co-authors of Charles Dugas
This figure shows the co-authorship network connecting the top 25 collaborators of Charles Dugas. A scholar is included among the top collaborators of Charles Dugas 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 Charles Dugas. Charles Dugas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Incorporating Functional Knowledge in Neural Networks | 24 |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference | 12 |
| 7 | Incorporating Second-Order Functional Knowledge for Better Option Pricing | 154 |
| 8 | 2 | |
| 9 | 7. Metzger (Henri). Les représentations dans la céramique attique du IVe siècle (Bibliothèque des Écoles françaises d'Athènes et de Rome, fasc. 172). Paris, E. de Boccard, 1951 | 1 |
| 10 | Excavations at Olynthus. Part XIII : Vases found in 1934 and 1938, 1950 | 1 |
About Charles Dugas
Charles Dugas is a scholar working on Anthropology, Archeology and Software, having authored 10 papers that have together received 203 indexed citations. Recurring topics across this work include Ancient Mediterranean Archaeology and History (3 papers), Classical Antiquity Studies (3 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (54 citations), Artificial Intelligence (77 citations) and Management Science and Operations Research (29 citations). Charles Dugas has collaborated with scholars based in Canada. Frequent co-authors include Yoshua Bengio, Claude Nadeau, François Bélisle, René García, Nicolas Chapados, Pascal Vincent, Linyan Meng, Joumana Ghosn, Ichiro Takeuchi and Réjean Ducharme. Their work appears in journals such as Machine Learning, Journal of Machine Learning Research and International Journal of Business Intelligence and Data Mining.
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.