Nicolas Chapados

2.1k total citations · 1 hit paper
22 papers, 637 citations indexed

About

Nicolas Chapados is a scholar working on Artificial Intelligence, Management Science and Operations Research and Oncology. According to data from OpenAlex, Nicolas Chapados has authored 22 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 5 papers in Management Science and Operations Research and 3 papers in Oncology. Recurrent topics in Nicolas Chapados's work include Neural Networks and Applications (4 papers), Time Series Analysis and Forecasting (3 papers) and Colorectal Cancer Screening and Detection (3 papers). Nicolas Chapados is often cited by papers focused on Neural Networks and Applications (4 papers), Time Series Analysis and Forecasting (3 papers) and Colorectal Cancer Screening and Detection (3 papers). Nicolas Chapados collaborates with scholars based in Canada, United States and Ireland. Nicolas Chapados's co-authors include Yoshua Bengio, Michael F. Byrne, Florian Soudan, Douglas K. Rex, Nadeem Iqbal, Florent Chandelier, Raymond Kelly, Stan Matwin, Gabriel Chartrand and Mohammad Havaei and has published in prestigious journals such as Gut, European Journal of Operational Research and Physics in Medicine and Biology.

In The Last Decade

Nicolas Chapados

21 papers receiving 603 citations

Hit Papers

Real-time differentiation of adenomatous and hyperplastic... 2017 2026 2020 2023 2017 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model
    2017 423 citations Michael F. Byrne, Nicolas Chapados et al. Gut profile →

Peers

Nicolas Chapados
Sabeur Aridhi France
Anna Jerebko United States
Hisashi Handa Japan
Jared Katzman United States
Tao Gan China
Jian Zou United States
Peter de With Netherlands
Marina Gorunescu Romania
Valentina Giannini Italy
Sabeur Aridhi France
Nicolas Chapados
Citations per year, relative to Nicolas Chapados Nicolas Chapados (= 1×) peers Sabeur Aridhi

Countries citing papers authored by Nicolas Chapados

Since Specialization
Citations

This map shows the geographic impact of Nicolas Chapados'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 Chapados with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Chapados more than expected).

Fields of papers citing papers by Nicolas Chapados

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas Chapados. 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 Chapados. The network helps show where Nicolas Chapados may publish in the future.

Co-authorship network of co-authors of Nicolas Chapados

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Chapados. A scholar is included among the top collaborators of Nicolas Chapados 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 Nicolas Chapados. Nicolas Chapados is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chapados, Nicolas, João Monteiro, Pierre‐André Noël, et al.. (2024). RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. 24242–24276.
2.
Cappart, Quentin, et al.. (2021). Graph neural networks and deep reinforcement learning for simultaneous beam orientation and trajectory optimization of Cyberknife. Physics in Medicine and Biology. 66(21). 215002–215002. 2 indexed citations
3.
Havaei, Mohammad, et al.. (2018). Learning to Learn with Conditional Class Dependencies. International Conference on Learning Representations. 27 indexed citations
4.
Byrne, Michael F., Florian Soudan, Nicolas Chapados, et al.. (2018). Mo1679 REAL-TIME ARTIFICIAL INTELLIGENCE “FULL COLONOSCOPY WORKFLOW” FOR AUTOMATIC DETECTION FOLLOWED BY OPTICAL BIOPSY OF COLORECTAL POLYPS. Gastrointestinal Endoscopy. 87(6). AB475–AB475. 3 indexed citations
5.
Havaei, Mohammad, Gabriel Chartrand, Thomas L. Vincent, et al.. (2018). Attentive Task-Agnostic Meta-Learning for Few-Shot Text Classification. 15 indexed citations
6.
Byrne, Michael F., Nicolas Chapados, Florian Soudan, et al.. (2017). Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model. Gut. 68(1). 94–100. 423 indexed citations breakdown →
7.
Byrne, Michael F., Nicolas Chapados, Florian Soudan, et al.. (2017). Su1614 Artificial Intelligence (AI) in Endoscopy--Deep Learning for Optical Biopsy of Colorectal Polyps in Real-Time on Unaltered Endoscopic Videos. Gastrointestinal Endoscopy. 85(5). AB364–AB365. 9 indexed citations
8.
Chapados, Nicolas, et al.. (2014). Retail store scheduling for profit. European Journal of Operational Research. 239(3). 609–624. 21 indexed citations
9.
Chapados, Nicolas, et al.. (2011). Portfolio Choice Problems. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 6 indexed citations
10.
Chapados, Nicolas. (2011). Portfolio Choice Problems: An Introductory Survey of Single and Multiperiod Models. 6 indexed citations
11.
Dugas, Charles, et al.. (2011). A high-order feature synthesis and selection algorithm applied to insurance risk modelling. International Journal of Business Intelligence and Data Mining. 6(3). 237–237. 5 indexed citations
12.
Tenney, S.M., et al.. (2009). Statistical Machine Learning Algorithms for Target Classification from Acoustic Signature. 9 indexed citations
13.
Chapados, Nicolas, Charles Dugas, Pascal Vincent, & Réjean Ducharme. (2008). Scoring Models for Insurance Risk Sharing Pool Opimization. 97–105. 1 indexed citations
14.
Chapados, Nicolas & Yoshua Bengio. (2007). Augmented Functional Time Series Representation and Forecasting with Gaussian Processes. Neural Information Processing Systems. 20. 265–272. 10 indexed citations
15.
Chapados, Nicolas & Yoshua Bengio. (2007). Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization. Journal of Computers. 2(1). 3 indexed citations
16.
Chapados, Nicolas & Yoshua Bengio. (2007). Forecasting and Trading Commodity Contract Spreads with Gaussian Processes. 3 indexed citations
17.
Bengio, Yoshua & Nicolas Chapados. (2003). Extensions to metric based model selection. Journal of Machine Learning Research. 3. 1209–1227. 28 indexed citations
18.
Chapados, Nicolas & Yoshua Bengio. (2002). Input decay: simple and effective soft variable selection. 2. 1233–1237. 6 indexed citations
19.
Chapados, Nicolas, Yoshua Bengio, Pascal Vincent, et al.. (2001). Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference. Neural Information Processing Systems. 14. 1369–1376. 12 indexed citations
20.
Chapados, Nicolas & Yoshua Bengio. (2001). Cost functions and model combination for VaR-based asset allocation using neural networks. IEEE Transactions on Neural Networks. 12(4). 890–906. 42 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Sabeur Aridhi Breakdown of academic impact, for papers by Anna Jerebko Breakdown of academic impact, for papers by Hisashi Handa Breakdown of academic impact, for papers by Jared Katzman Breakdown of academic impact, for papers by Tao Gan Breakdown of academic impact, for papers by Jian Zou Breakdown of academic impact, for papers by Peter de With Breakdown of academic impact, for papers by Marina Gorunescu Breakdown of academic impact, for papers by Valentina Giannini
Rankless by CCL
2026