The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Léon Bottou sits on this spectrum.
This scientist: 195 publications — 44th percentile
44% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Léon Bottou sits on this spectrum.
This scientist: 82 D-Index — 94th percentile
94% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Léon Bottou is affiliated with Facebook in the United States and works primarily in the field of Computer Science. Their research focuses significantly on Artificial Intelligence, with contributions spanning subfields such as Computer Vision and Pattern Recognition, Management Science and Operations Research, Molecular Biology, and Literature and Literary Theory.
Their work centers around key topics including Machine Learning and Algorithms, Domain Adaptation and Few-Shot Learning, Neural Networks and Applications, Machine Learning and Data Classification, Advanced Neural Network Applications, Risk and Portfolio Optimization, and Stochastic Gradient Optimization Techniques.
Léon Bottou has authored several influential papers published over recent years. Selected recent papers include:
The scientist frequently publishes in venues such as arXiv (Cornell University), where they have contributed 17 publications, Nature Communications, Proceedings of the AAAI Conference on Artificial Intelligence, and Neural Computing and Applications.
Léon Bottou collaborates with several researchers consistently. Frequent co-authors include Jianyu Zhang, David Lopez-Paz, Agnieszka Słowik, and Randall Balestriero.
Yann Lecun;Leon Bottou;Leon Bottou;Yoshua Bengio;Yoshua Bengio;Yoshua Bengio;Patrick Haffner;Patrick Haffner
Martin Arjovsky;Soumith Chintala;Léon Bottou
Ronan Collobert;Jason Weston;Léon Bottou;Michael Karlen
Léon Bottou
Yann LeCun;Léon Bottou;Genevieve B. Orr;Klaus-Robert Müller
Jane Bromley;James W. Bentz;James W. Bentz;Léon Bottou;Léon Bottou;Isabelle Guyon
Maxime Oquab;Maxime Oquab;Leon Bottou;Ivan Laptev;Josef Sivic
Unknown
Léon Bottou;Frank E. Curtis;Jorge Nocedal
Léon Bottou
Olivier Bousquet;Léon Bottou
Y. LeCun;Fu Jie Huang;L. Bottou
Martín Arjovsky;Léon Bottou
Yann LeCun;Patrick Haffner;Léon Bottou;Yoshua Bengio
Maxime Oquab;Leon Bottou;Ivan Laptev;Josef Sivic
L. Bottou;C. Cortes;C. Cortes;J.S. Denker;J.S. Denker;H. Drucker;H. Drucker
Yann Lecun;L.D. Jackel;Leon Bottou;Leon Bottou;Corinna Cortes;Corinna Cortes
Yann Lecun;L.D. Jackel;Leon Bottou;Leon Bottou;A. Brunot
Antoine Bordes;Seyda Ertekin;Jason Weston;Léon Bottou
Martin Arjovsky;Soumith Chintala;Léon Bottou
C. J. C. Burges;L. Bottou;M. Welling;Z. Ghahramani
Martin Arjovsky;Léon Bottou;Ishaan Gulrajani;David Lopez-Paz
If you think any of the details on this page are incorrect, let us know.
Exploring computer science in the USA opens the door to a wide range of online degree options and future career paths. Many students are interested in quick online degrees that pay well, allowing for faster entry into in-demand tech jobs such as data analyst, network administrator, or software developer.
Others may be drawn to advanced specializations. For those passionate about artificial intelligence, several of the best AI masters programs online provide accessible pathways for building expertise in machine learning, robotics, and data science from home.
Students who want to ensure a future-proof investment in their education should consider the top degrees for the future. These majors—such as cybersecurity, information technology, and computer engineering—are consistently in high demand with strong growth projections.
If you are looking for an efficient academic journey, it’s worth exploring an easy online masters degree that can provide a solid qualification without an overwhelming workload. These flexible options make it easier to balance your studies with work or personal commitments while advancing your career.
Institute for Computer Science, Artificial Intelligence and Technology (INSAIT)
Publications: 76
Zhejiang University
University of Buenos Aires
RMIT University
Purdue University West Lafayette
Sapienza University of Rome
University of Pittsburgh School of Medicine
University of Innsbruck
Cardiff University
Ministry of Health
Indiana University
Hewlett-Packard (United States)
Universität Hamburg
University of Michigan–Ann Arbor
Texas A&M University
Chinese University of Hong Kong
Delft University of Technology
