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.
Semi-Supervised Learning
20062.8k citationsOlivier Chapelle, Alexander Zien et al.The MIT Press eBooksprofile →
Choosing Multiple Parameters for Support Vector Machines
20021.6k citationsOlivier Chapelle, Vladimir Vapnik et al.profile →
Support vector machines for histogram-based image classification
19991.1k citationsOlivier Chapelle, Patrick Haffner et al.profile →
Countries citing papers authored by Olivier Chapelle
Since
Specialization
Citations
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.
Chen, Minmin, et al.. (2012). Classifier Cascade for Minimizing Feature Evaluation Cost. International Conference on Artificial Intelligence and Statistics. 218–226.34 indexed citations
3.
Dhillon, Paramveer S., S. Sathiya Keerthi, Kedar Bellare, Olivier Chapelle, & Sundararajan Sellamanickam. (2012). Deterministic Annealing for Semi-Supervised Structured Output Learning. International Conference on Artificial Intelligence and Statistics. 22. 299–307.5 indexed citations
Weinberger, Kilian Q. & Olivier Chapelle. (2008). Large Margin Taxonomy Embedding for Document Categorization. Neural Information Processing Systems. 21. 1737–1744.39 indexed citations
7.
Weinberger, Kilian Q. & Olivier Chapelle. (2008). Large margin taxonomy embedding with an application to document categorization. neural information processing systems. 1737–1744.11 indexed citations
8.
Chapelle, Olivier, Joshua Shulman, Choon Hui Teo, Quoc V. Le, & Alex Smola. (2008). Tighter Bounds for Structured Estimation. ANU Open Research (Australian National University). 21. 281–288.33 indexed citations
9.
Bottou, Léon, Olivier Chapelle, Dennis DeCoste, & Jason Weston. (2007). Large-Scale Kernel Machines (Neural Information Processing). The MIT Press eBooks.10 indexed citations
10.
Zheng, Zhaohui, Hongyuan Zha, Tong Zhang, et al.. (2007). A General Boosting Method and its Application to Learning Ranking Functions for Web Search. Journal of Bioresource Management. 20. 1697–1704.129 indexed citations
11.
Chapelle, Olivier. (2005). Some thoughts about Gaussian Processes. MPG.PuRe (Max Planck Society).1 indexed citations
Chapelle, Olivier. (2005). Active Learning for Parzen Window Classifier. Max Planck Institute for Plasma Physics. 49–56.22 indexed citations
14.
Chapelle, Olivier, Bernhard Schölkopf, & Jason Weston. (2003). Semi-Supervised Learning through Principal Directions Estimation. International Conference on Machine Learning. 14(11). 1–7.2 indexed citations
15.
Chapelle, Olivier, Jason Weston, & Bernhard Schölkopf. (2002). Cluster Kernels for Semi-Supervised Learning. MPG.PuRe (Max Planck Society). 15. 601–608.319 indexed citations
16.
Chapelle, Olivier & Bernhard Schölkopf. (2001). Incorporating invariances in nonlinear Support Vector Machines. MPG.PuRe (Max Planck Society). 609–616.13 indexed citations
17.
Weston, Jason, et al.. (2001). KDD Cup 2001 data analysis: prediction of molecular bioactivity for drug Design-Binding to Thrombin. MPG.PuRe (Max Planck Society).9 indexed citations
18.
Weston, Jason, Sayan Mukherjee, Olivier Chapelle, et al.. (2000). Feature Selection for SVMs. UCL Discovery (University College London). 13. 668–674.692 indexed citations breakdown →
19.
Chapelle, Olivier, et al.. (1999). SVMs for Histogram Based Image Classification. MPG.PuRe (Max Planck Society).132 indexed citations
20.
Chapelle, Olivier & Vladimir Vapnik. (1999). Model Selection for Support Vector Machines. MPG.PuRe (Max Planck Society). 12. 230–236.237 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.