Ludwig Schubert

2.5k total citations · 2 hit papers
18 papers, 1.3k citations indexed

About

Ludwig Schubert is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Automotive Engineering. According to data from OpenAlex, Ludwig Schubert has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Automotive Engineering. Recurrent topics in Ludwig Schubert's work include Adversarial Robustness in Machine Learning (6 papers), Air Quality and Health Impacts (2 papers) and Vehicle emissions and performance (2 papers). Ludwig Schubert is often cited by papers focused on Adversarial Robustness in Machine Learning (6 papers), Air Quality and Health Impacts (2 papers) and Vehicle emissions and performance (2 papers). Ludwig Schubert collaborates with scholars based in United States, Austria and Germany. Ludwig Schubert's co-authors include Chris Olah, Alexander Mordvintsev, Shan Carter, Ian Johnson, Nick Cammarata, Gabriel Goh, Arvind Satyanarayan, Michael Petrov, Chelsea Voss and Zan Armstrong and has published in prestigious journals such as Mathematics of Computation, SAE technical papers on CD-ROM/SAE technical paper series and Atmosphere.

In The Last Decade

Ludwig Schubert

16 papers receiving 1.2k citations

Hit Papers

Feature Visualization 2017 2026 2020 2023 2017 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ludwig Schubert United States 11 738 374 135 113 112 18 1.3k
Guillaume Obozinski Switzerland 15 700 0.9× 588 1.6× 70 0.5× 72 0.6× 78 0.7× 38 2.0k
Matthew Graham United Kingdom 2 930 1.3× 254 0.7× 41 0.3× 7 0.1× 110 1.0× 2 1.5k
Shotaro Akaho Japan 15 510 0.7× 204 0.5× 38 0.3× 29 0.3× 58 0.5× 100 981
Maya R. Gupta United States 22 811 1.1× 618 1.7× 76 0.6× 8 0.1× 60 0.5× 93 1.9k
Jinwen Ma China 17 568 0.8× 356 1.0× 25 0.2× 47 0.4× 38 0.3× 81 1.1k
Alessandro Rinaldo United States 20 565 0.8× 108 0.3× 35 0.3× 8 0.1× 203 1.8× 57 1.5k
Murray Browne United States 6 326 0.4× 324 0.9× 97 0.7× 34 0.3× 101 0.9× 7 1.2k
Tengyu Ma United States 16 956 1.3× 735 2.0× 43 0.3× 23 0.2× 43 0.4× 45 1.9k
Min Xiao China 33 1.0k 1.4× 162 0.4× 188 1.4× 61 0.5× 84 0.8× 291 4.0k
David López-Paz Germany 13 497 0.7× 312 0.8× 30 0.2× 2 0.0× 30 0.3× 26 867

Countries citing papers authored by Ludwig Schubert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ludwig Schubert

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

All Works

18 of 18 papers shown
1.
Schubert, Ludwig, et al.. (2025). Challenges in Quantifying Tire Wear Particle Emissions on an Outer Drum Test Bed. SAE technical papers on CD-ROM/SAE technical paper series. 1.
3.
Petrov, Michael, Chelsea Voss, Ludwig Schubert, et al.. (2021). Weight Banding. 6(4). 5 indexed citations
4.
Schubert, Ludwig, Chelsea Voss, & Chris Olah. (2021). High/Low frequency detectors. 6(1). 9 indexed citations
5.
Goh, Gabriel, Nick Cammarata, Chelsea Voss, et al.. (2021). Multimodal Neurons in Artificial Neural Networks. 6(3). 115 indexed citations
6.
Voss, Chelsea, Gabriel Goh, Nick Cammarata, et al.. (2021). Branch Specialization. 6(4). 8 indexed citations
7.
Voss, Chelsea, Nick Cammarata, Gabriel Goh, et al.. (2021). Visualizing Weights. 6(2). 8 indexed citations
8.
Olah, Chris, Nick Cammarata, Ludwig Schubert, et al.. (2020). An Overview of Early Vision in InceptionV1. 5(4). 21 indexed citations
9.
Olah, Chris, et al.. (2020). Zoom In: An Introduction to Circuits. 5(3). 92 indexed citations
10.
Cammarata, Nick, et al.. (2020). Curve Detectors. 5(6). 11 indexed citations
11.
Olah, Chris, Nick Cammarata, Chelsea Voss, Ludwig Schubert, & Gabriel Goh. (2020). Naturally Occurring Equivariance in Neural Networks. 5(12). 12 indexed citations
12.
Cammarata, Nick, et al.. (2020). Thread: Circuits. 5(3). 23 indexed citations
13.
Carter, Shan, Zan Armstrong, Ludwig Schubert, Ian Johnson, & Chris Olah. (2019). Activation Atlas. 4(3). 82 indexed citations
14.
Olah, Chris, Arvind Satyanarayan, Ian Johnson, et al.. (2018). The Building Blocks of Interpretability. 3(3). 295 indexed citations breakdown →
15.
Mordvintsev, Alexander, Nicola Pezzotti, Ludwig Schubert, & Chris Olah. (2018). Differentiable Image Parameterizations. 3(7). 44 indexed citations
16.
Olah, Chris, Alexander Mordvintsev, & Ludwig Schubert. (2017). Feature Visualization. 2(11). 457 indexed citations breakdown →
17.
Krusche, Stephan, et al.. (2011). The serious game. 109–110. 3 indexed citations
18.
Schubert, Ludwig. (1970). Modification of a quasi-Newton method for nonlinear equations with a sparse Jacobian. Mathematics of Computation. 24(109). 27–30. 152 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026