Alex Krizhevsky

146.3k total citations · 3 hit papers
7 papers, 70.5k citations indexed

About

Alex Krizhevsky is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Alex Krizhevsky has authored 7 papers receiving a total of 70.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Automotive Engineering. Recurrent topics in Alex Krizhevsky's work include Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Alex Krizhevsky is often cited by papers focused on Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). Alex Krizhevsky collaborates with scholars based in Canada and United States. Alex Krizhevsky's co-authors include Geoffrey E. Hinton, Ilya Sutskever, Nitish Srivastava, Ruslan Salakhutdinov, Anelia Angelova, Vincent Vanhoucke, Abhijit S. Ogale, Marc’Aurelio Ranzato, Dave Ferguson and Mayank Bansal and has published in prestigious journals such as Communications of the ACM, Journal of Machine Learning Research and arXiv (Cornell University).

In The Last Decade

Alex Krizhevsky

7 papers receiving 67.8k citations

Hit Papers

align trajectories

What are hit papers?

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.

ImageNet classification with deep convolutional neural networks

2017 47.3k citations Alex Krizhevsky, Ilya Sutskever et al. Communications of the ACM profile →
Dropout: a simple way to prevent neural networks from overfitting

2014 22.6k citations Nitish Srivastava, Geoffrey E. Hinton et al. Journal of Machine Learning Research profile →
Using very deep autoencoders for content-based image retrieval.

2011 238 citations Alex Krizhevsky, Geoffrey E. Hinton The European Symposium on Artificial Neural Networks profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Alex Krizhevsky Canada	7	31.3k	24.9k	6.1k	5.7k	5.3k	7	70.5k
Vincent Vanhoucke United States	19	30.8k 1.0×	23.2k 0.9×	7.3k 1.2×	4.1k 0.7×	4.8k 0.9×	37	62.8k
Karen Simonyan United States	23	34.0k 1.1×	21.1k 0.8×	5.6k 0.9×	4.6k 0.8×	5.6k 1.0×	49	63.3k
Ilya Sutskever Canada	22	36.1k 1.2×	41.1k 1.6×	6.6k 1.1×	7.8k 1.3×	5.5k 1.0×	39	95.2k
Christian Szegedy United States	12	30.6k 1.0×	18.2k 0.7×	7.2k 1.2×	3.2k 0.6×	4.8k 0.9×	25	56.1k
Trevor Darrell United States	84	54.3k 1.7×	24.0k 1.0×	5.2k 0.8×	3.7k 0.7×	7.5k 1.4×	389	78.9k
Jia Deng United States	32	40.9k 1.3×	25.2k 1.0×	6.2k 1.0×	3.3k 0.6×	5.3k 1.0×	61	65.0k
Li Fei-Fei United States	93	69.3k 2.2×	43.3k 1.7×	7.3k 1.2×	4.2k 0.7×	7.1k 1.3×	368	106.7k
Léon Bottou United States	40	21.9k 0.7×	23.9k 1.0×	3.0k 0.5×	5.5k 1.0×	3.8k 0.7×	84	53.8k
Bernhard Schölkopf Germany	96	23.7k 0.8×	31.3k 1.3×	3.2k 0.5×	4.6k 0.8×	5.1k 1.0×	583	79.6k
Ruslan Salakhutdinov United States	55	19.9k 0.6×	26.1k 1.0×	2.9k 0.5×	3.9k 0.7×	2.5k 0.5×	147	56.5k

Countries citing papers authored by Alex Krizhevsky

Since Specialization

Citations

This map shows the geographic impact of Alex Krizhevsky'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 Alex Krizhevsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Krizhevsky more than expected).

Fields of papers citing papers by Alex Krizhevsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alex Krizhevsky. 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 Alex Krizhevsky. The network helps show where Alex Krizhevsky may publish in the future.

Co-authorship network of co-authors of Alex Krizhevsky

This figure shows the co-authorship network connecting the top 25 collaborators of Alex Krizhevsky. A scholar is included among the top collaborators of Alex Krizhevsky 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 Alex Krizhevsky. Alex Krizhevsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Bansal, Mayank, Alex Krizhevsky, & Abhijit S. Ogale. (2018). ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst. arXiv (Cornell University). 45 indexed citations

2.

Krizhevsky, Alex, Ilya Sutskever, & Geoffrey E. Hinton. (2017). ImageNet classification with deep convolutional neural networks. Communications of the ACM. 60(6). 84–90. 47267 indexed citations breakdown →

3.

Angelova, Anelia, Alex Krizhevsky, Vincent Vanhoucke, Abhijit S. Ogale, & Dave Ferguson. (2015). Real-Time Pedestrian Detection with Deep Network Cascades. 32.1–32.12. 155 indexed citations

4.

Angelova, Anelia, Alex Krizhevsky, & Vincent Vanhoucke. (2015). Pedestrian detection with a Large-Field-Of-View deep network. 704–711. 58 indexed citations

5.

Srivastava, Nitish, Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever, & Ruslan Salakhutdinov. (2014). Dropout: a simple way to prevent neural networks from overfitting. Journal of Machine Learning Research. 15(1). 1929–1958. 22645 indexed citations breakdown →

6.

Krizhevsky, Alex & Geoffrey E. Hinton. (2011). Using very deep autoencoders for content-based image retrieval.. The European Symposium on Artificial Neural Networks. 238 indexed citations breakdown →

7.

Ranzato, Marc’Aurelio, Alex Krizhevsky, & Geoffrey E. Hinton. (2010). Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images. International Conference on Artificial Intelligence and Statistics. 621–628. 118 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.

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