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.
Gradient-based learning applied to document recognition
199834.5k citationsYann LeCun, Léon Bottou et al.Proceedings of the IEEEprofile →
This map shows the geographic impact of Léon Bottou'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 Léon Bottou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Léon Bottou more than expected).
This network shows the impact of papers produced by Léon Bottou. 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 Léon Bottou. The network helps show where Léon Bottou may publish in the future.
Co-authorship network of co-authors of Léon Bottou
This figure shows the co-authorship network connecting the top 25 collaborators of Léon Bottou.
A scholar is included among the top collaborators of Léon Bottou 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 Léon Bottou. Léon Bottou is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bottou, Léon, et al.. (2019). Cold Case: The Lost MNIST Digits. arXiv (Cornell University). 32. 13443–13452.11 indexed citations
3.
Sagun, Levent, Utku Evci, V. Uğur Güney, Yann Dauphin, & Léon Bottou. (2018). Empirical Analysis of the Hessian of Over-Parametrized Neural Networks. International Conference on Learning Representations.8 indexed citations
Bottou, Léon, Jonas Peters, Joaquin Quiñonero-Candela, et al.. (2013). Counterfactual reasoning and learning systems: the example of computational advertising. Journal of Machine Learning Research. 14(1). 3207–3260.208 indexed citations
Bottou, Léon, Olivier Chapelle, Dennis DeCoste, & Jason Weston. (2007). Large-Scale Kernel Machines (Neural Information Processing). The MIT Press eBooks.10 indexed citations
11.
Collobert, Ronan, Fabian H. Sinz, Jason Weston, & Léon Bottou. (2006). Large Scale Transductive SVMs. Journal of Machine Learning Research. 7(62). 1687–1712.355 indexed citations
12.
Saul, Lawrence K., Yair Weiss, & Léon Bottou. (2005). Advances in Neural Information Processing Systems 17: Proceedings of the 2004 Conference (Bradford Books). The MIT Press eBooks.4 indexed citations
13.
Still, Susanne, William Bialek, & Léon Bottou. (2003). Geometric Clustering Using the Information Bottleneck Method. neural information processing systems. 16. 1165–1172.17 indexed citations
14.
Bottou, Léon, et al.. (2001). DjVu document browsing with on-demand loading and rendering of image components.1 indexed citations
Simard, Patrice, Léon Bottou, Patrick Haffner, & Yann LeCun. (1998). Boxlets: A Fast Convolution Algorithm for Signal Processing and Neural Networks. neural information processing systems. 11. 571–577.81 indexed citations
17.
LeCun, Yann, Léon Bottou, Yoshua Bengio, & Patrick Haffner. (1998). Gradient-based learning applied to document recognition. Proceedings of the IEEE. 86(11). 2278–2324.34531 indexed citations breakdown →
18.
Guyon, Isabelle, Vladimir Vapnik, Bernhard E. Boser, Léon Bottou, & Sara A. Solla. (1991). Structural Risk Minimization for Character Recognition. Neural Information Processing Systems. 4. 471–479.59 indexed citations
19.
Bottou, Léon & Patrick Gallinari. (1990). A Framework for the Cooperation of Learning Algorithms. Neural Information Processing Systems. 3. 781–788.29 indexed citations
20.
Bottou, Léon, et al.. (1989). Comparison of neural and conventional classifiers on a speech recognition problem. 86–89.5 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.