Olivier Chapelle
- Artificial Intelligence top 0.05%
- Computer Vision and Pattern Recognition top 0.1%
- Information Systems top 0.2%
- Signal Processing top 0.5%
- Management Science and Operations Research top 0.5%
- Co-authors
- Vladimir VapnikAlexander ZienBernhard SchölkopfSayan MukherjeeOlivier BousquetPatrick HaffnerYa ZhangJason Weston
- Topics
- Face and Expression Recognition (24 papers)Machine Learning and Algorithms (19 papers)Neural Networks and Applications (18 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Olivier Chapelle
89 papers receiving 13.2k citations
Hit Papers
Peers
Comparison fields: 5 of 205
- Artificial Intelligence 7.7k
- Computer Vision and Pattern Recognition 5.5k
- Information Systems 2.1k
- Signal Processing 1.1k
- Management Science and Operations Research 1.0k
Countries citing papers authored by Olivier Chapelle
This map shows the geographic impact of Olivier Chapelle'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 Olivier Chapelle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivier Chapelle more than expected).
Fields of papers citing papers by Olivier Chapelle
This network shows the impact of papers produced by Olivier Chapelle. 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 Olivier Chapelle. The network helps show where Olivier Chapelle may publish in the future.
Co-authorship network of co-authors of Olivier Chapelle
This figure shows the co-authorship network connecting the top 25 collaborators of Olivier Chapelle. A scholar is included among the top collaborators of Olivier Chapelle 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 Olivier Chapelle. Olivier Chapelle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Classifier Cascade for Minimizing Feature Evaluation Cost | 34 |
| 2 | An Empirical Evaluation of Thompson Samplingbreakdown → | 492 |
| 3 | Tighter Bounds for Structured Estimation | 33 |
| 4 | Large Margin Taxonomy Embedding for Document Categorization | 39 |
| 5 | Deterministic Annealing for Multiple-Instance Learning | 61 |
| 6 | A General Boosting Method and its Application to Learning Ranking Functions for Web Search | 129 |
| 7 | Learning with Transformation Invariant Kernels | 8 |
| 8 | Semi-Supervised Learning (Adaptive Computation and Machine Learning) | 118 |
| 9 | Some thoughts about Gaussian Processes | 1 |
| 10 | A Machine Learning Approach to Conjoint Analysis | 31 |
| 11 | Measure Based Regularization | 62 |
| 12 | Semi-Supervised Learning through Principal Directions Estimation | 2 |
| 13 | Estimating the Leave-One-Out Error for Classification Learning with SVMs | 3 |
| 14 | Incorporating invariances in nonlinear Support Vector Machines | 13 |
| 15 | KDD Cup 2001 data analysis: prediction of molecular bioactivity for drug Design-Binding to Thrombin | 9 |
| 16 | Feature Selection for SVMsbreakdown → | 692 |
| 17 | Vicinal Risk Minimization | 120 |
| 18 | Transductive Inference for Estimating Values of Functions | 40 |
| 19 | Model Selection for Support Vector Machines | 237 |
| 20 | SVMs for Histogram Based Image Classification | 132 |
About Olivier Chapelle
Olivier Chapelle is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 89 papers that have together received 14.1k indexed citations. Recurring topics across this work include Face and Expression Recognition (24 papers), Machine Learning and Algorithms (19 papers) and Neural Networks and Applications (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.5k citations), Artificial Intelligence (7.7k citations) and Signal Processing (1.1k citations). Olivier Chapelle has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Vladimir Vapnik, Alexander Zien, Bernhard Schölkopf, Sayan Mukherjee, Olivier Bousquet, Patrick Haffner, Ya Zhang, Jason Weston, S. Sathiya Keerthi and Lihong Li. Their work appears in journals such as Bioinformatics, Neural Computation and European Journal of Medicinal Chemistry.
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.