2026 Alexander J. Smola: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	141	58	55	33	31	426	169984

Research.com Recognitions

2026 - Research.com Computer Science in United States Leader Award
2025 - Research.com Computer Science in United States Leader Award
2023 - Research.com Computer Science in United States Leader Award
2022 - Research.com Computer Science in United States Leader Award

Overview

Alexander J. Smola is a researcher affiliated with Amazon in the United States, primarily working within the field of Computer Science. Their work spans across several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Statistical and Nonlinear Physics, and Information Systems.

Their research topics include:

Machine Learning and Data Classification
Advanced Neural Network Applications
Domain Adaptation and Few-Shot Learning
Machine Learning and Algorithms
Reinforcement Learning in Robotics
Advanced Image and Video Retrieval Techniques
Text and Document Classification Technologies

Alexander J. Smola has contributed to numerous publications, frequently publishing in venues such as:

arXiv (Cornell University)
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Transactions on Information Systems

Some of their recent papers include:

ResNeSt: Split-Attention Networks, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
ResNeSt: Split-Attention Networks, 2020, arXiv (Cornell University)
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data, 2020, arXiv (Cornell University)
Improving Semantic Segmentation via Efficient Self-Training, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
Dive into Deep Learning, 2021, arXiv (Cornell University)

Frequent collaborators in their research include:

Jonas Mueller (8 publications)
Rasool Fakoor (7 publications)
Pratik Chaudhari (5 publications)
Chongruo Wu (4 publications)
Zhongyue Zhang (4 publications)

Best Publications

Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond

Bernhard Scholkopf;Alexander J. Smola

16004
Citations
A tutorial on support vector regression

Alex J. Smola;Bernhard Schölkopf

15872
Citations
Nonlinear component analysis as a kernel eigenvalue problem

Bernhard Schölkopf;Alexander Smola;Klaus-Robert Müller

10990
Citations
Estimating the Support of a High-Dimensional Distribution

Bernhard Schölkopf;John C. Platt;John C. Shawe-Taylor;Alex J. Smola

7284
Citations
Advances in kernel methods: support vector learning

Bernhard Schölkopf;Christopher J. C. Burges;Alexander J. Smola

6522
Citations
Support Vector Regression Machines

Harris Drucker;Christopher J. C. Burges;Linda Kaufman;Alex J. Smola

5771
Citations
Hierarchical Attention Networks for Document Classification

Zichao Yang;Diyi Yang;Chris Dyer;Xiaodong He

5343
Citations
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Balaji Krishnapuram;Mohak Shah;Alex Smola;Charu Aggarwal

5052
Citations
Support Vector Method for Function Approximation, Regression Estimation and Signal Processing

Vladimir Vapnik;Steven E. Golowich;Alex J. Smola

4238
Citations
New Support Vector Algorithms

Bernhard Schölkopf;Alex J. Smola;Robert C. Williamson;Peter L. Bartlett

3981
Citations
Kernel Principal Component Analysis

Bernhard Schölkopf;Alex J. Smola;Klaus-Robert Müller

3235
Citations
A kernel two-sample test

Arthur Gretton;Karsten M. Borgwardt;Malte J. Rasch;Bernhard Schölkopf

3126
Citations
Kernel methods in machine learning

Thomas Hofmann;Bernhard Schölkopf;Alexander J. Smola

2678
Citations
Online learning with kernels

J. Kivinen;A.J. Smola;R.C. Williamson

2602
Citations
Support Vector Method for Novelty Detection

Bernhard Schölkopf;Robert C Williamson;Alex J. Smola;John Shawe-Taylor

2563
Citations
Stacked Attention Networks for Image Question Answering

Zichao Yang;Xiaodong He;Jianfeng Gao;Li Deng

2193
Citations
A Kernel Method for the Two-Sample-Problem

Arthur Gretton;Karsten M. Borgwardt;Malte Rasch;Bernhard Schölkopf

2177
Citations
A Generalized Representer Theorem

Bernhard Schölkopf;Bernhard Schölkopf;Ralf Herbrich;Ralf Herbrich;Alex J. Smola

2052
Citations
Correcting Sample Selection Bias by Unlabeled Data

Jiayuan Huang;Arthur Gretton;Karsten M. Borgwardt;Bernhard Schölkopf

1947
Citations
Input space versus feature space in kernel-based methods

B. Scholkopf;S. Mika;C.J.C. Burges;P. Knirsch

1724
Citations
Scaling distributed machine learning with the parameter server

Mu Li;David G. Andersen;Jun Woo Park;Alexander J. Smola

1661
Citations
Advances in Large Margin Classifiers

Alexander J. Smola;Peter J. Bartlett

1087
Citations

Frequent Co-Authors

Bernhard Schölkopf Max Planck Institute for Intelligent Systems

Amr Ahmed University of Nottingham Malaysia Campus

S. V. N. Vishwanathan Purdue University West Lafayette

Arthur Gretton University College London

Robert C. Williamson University of Tübingen

Le Song Mohamed bin Zayed University of Artificial Intelligence

Karsten M. Borgwardt Max Planck Institute of Biochemistry

Peter L. Bartlett University of California, Berkeley

Quoc V. Le Google (United States)

Klaus-Robert Müller Technical University of Berlin

External Links

Personal website of Alexander J. Smola Google Scholar page

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