Chris Olah
Impact in
- Health Informatics top 2%
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- Advanced Image Processing Techniques
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Image Enhancement Techniques
Papers in
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- Adversarial Robustness in Machine Learning 6
- Neural Networks and Applications 3
- Anomaly Detection Techniques and Applications 2
- Domain Adaptation and Few-Shot Learning 2
- Reinforcement Learning in Robotics 2
- Explainable Artificial Intelligence (XAI) 2
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- Advanced Vision and Imaging 3
- Advanced Neural Network Applications 2
- Co-authors
- Augustus Odena (1 shared paper)Vincent Dumoulin (1 shared paper)Ludwig Schubert (14 shared papers)Alexander Mordvintsev (3 shared papers)Shan Carter (11 shared papers)Ian Johnson (3 shared papers)Nick Cammarata (10 shared papers)Gabriel Goh (10 shared papers)
- Partner nations
- United StatesCanada
In The Last Decade
Chris Olah
20 papers receiving 2.2k citations
Chris Olah's Hit Papers
Peers
Comparison fields: 5 of 142
- Health Informatics 70
- Computer Vision and Pattern Recognition 1.0k
- Artificial Intelligence 926
- Media Technology 218
- Computer Graphics and Computer-Aided Design 79
Countries citing papers authored by Chris Olah
This map shows the geographic impact of Chris Olah'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 Chris Olah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Olah more than expected).
Fields of papers citing papers by Chris Olah
This network shows the impact of papers produced by Chris Olah. 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 Chris Olah. The network helps show where Chris Olah may publish in the future.
Co-authors
The 18 scholars most cited alongside Chris Olah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deconvolution and Checkerboard Artifacts Hit paper breakdown → | 2016 | 1001 |
| 2 | Feature Visualization Hit paper breakdown → | 2017 | 468 |
| 3 | The Building Blocks of Interpretability Hit paper breakdown → | 2018 | 303 |
| 4 | 2021 | 121 | |
| 5 | 2020 | 109 | |
| 6 | 2019 | 84 | |
| 7 | 2018 | 44 | |
| 8 | 2016 | 31 | |
| 9 | 2020 | 23 | |
| 10 | 2020 | 21 | |
| 11 | 2020 | 12 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 12 | |
| 14 | 2017 | 9 | |
| 15 | 2021 | 9 | |
| 16 | 2021 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2016 | 6 | |
| 19 | 2021 | 5 | |
| 20 | 2019 | 3 |
About Chris Olah
Chris Olah is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, General Health Professions and Statistical and Nonlinear Physics, having authored 20 papers that have together received 2.3k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (6 papers), Advanced Vision and Imaging (3 papers), Neural Networks and Applications (3 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Reinforcement Learning in Robotics (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Health Informatics (70 citations), Computer Vision and Pattern Recognition (1.0k citations), Artificial Intelligence (926 citations), Media Technology (218 citations) and Computer Graphics and Computer-Aided Design (79 citations). Chris Olah has collaborated with scholars based in United States and Canada. Frequent co-authors include Augustus Odena, Vincent Dumoulin, Ludwig Schubert, Alexander Mordvintsev, Shan Carter, Ian Johnson, Nick Cammarata, Gabriel Goh, Michael Petrov and Arvind Satyanarayan.
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.