Ludwig Schubert
Impact in
- Health Informatics top 2%
- Artificial Intelligence top 2%
- Explainable Artificial Intelligence (XAI)
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Topic Modeling
Papers in
-
- Adversarial Robustness in Machine Learning 6
- Anomaly Detection Techniques and Applications 2
- Domain Adaptation and Few-Shot Learning 2
- Neural Networks and Applications 2
- Explainable Artificial Intelligence (XAI) 2
-
- Advanced Neural Network Applications 2
- Co-authors
- Chris Olah (14 shared papers)Alexander Mordvintsev (3 shared papers)Shan Carter (7 shared papers)Ian Johnson (2 shared papers)Nick Cammarata (9 shared papers)Gabriel Goh (9 shared papers)Michael Petrov (8 shared papers)Arvind Satyanarayan (1 shared paper)
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series (1 paper)Mathematics of Computation (1 paper)Atmosphere (1 paper)
- Partner nations
- United StatesAustriaGermany
In The Last Decade
Ludwig Schubert
16 papers receiving 1.3k citations
Ludwig Schubert's Hit Papers
Peers
Comparison fields: 5 of 132
- Health Informatics 67
- Artificial Intelligence 751
- Numerical Analysis 113
- Computer Vision and Pattern Recognition 380
- Biophysics 98
Countries citing papers authored by Ludwig Schubert
This map shows the geographic impact of Ludwig Schubert'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 Ludwig Schubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ludwig Schubert more than expected).
Fields of papers citing papers by Ludwig Schubert
This network shows the impact of papers produced by Ludwig Schubert. 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 Ludwig Schubert. The network helps show where Ludwig Schubert may publish in the future.
Co-authors
The 18 scholars most cited alongside Ludwig Schubert, 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 | Feature Visualization Hit paper breakdown → | 2017 | 468 |
| 2 | The Building Blocks of Interpretability Hit paper breakdown → | 2018 | 303 |
| 3 | 1970 | 153 | |
| 4 | 2021 | 121 | |
| 5 | 2020 | 109 | |
| 6 | 2019 | 84 | |
| 7 | 2018 | 44 | |
| 8 | 2020 | 23 | |
| 9 | 2020 | 21 | |
| 10 | 2020 | 12 | |
| 11 | 2020 | 12 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2021 | 5 | |
| 16 | 2011 | 3 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 |
About Ludwig Schubert
Ludwig Schubert is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Automotive Engineering, Health, Toxicology and Mutagenesis and Electrical and Electronic Engineering, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (6 papers), Vehicle emissions and performance (2 papers), Anomaly Detection Techniques and Applications (2 papers), Air Quality and Health Impacts (2 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Neural Networks and Applications (2 papers) and Explainable Artificial Intelligence (XAI) (2 papers). The work is most often cited by research in Health Informatics (67 citations), Artificial Intelligence (751 citations), Numerical Analysis (113 citations), Computer Vision and Pattern Recognition (380 citations) and Biophysics (98 citations). Ludwig Schubert has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Chris Olah, Alexander Mordvintsev, Shan Carter, Ian Johnson, Nick Cammarata, Gabriel Goh, Michael Petrov, Arvind Satyanarayan, Chelsea Voss and Zan Armstrong. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Mathematics of Computation and Atmosphere.
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.