Ludwig Schmidt

79 total papers · 5.5k total citations
36 papers, 961 citations indexed

About

Ludwig Schmidt is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Ludwig Schmidt has authored 36 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Computational Mechanics. Recurrent topics in Ludwig Schmidt's work include Sparse and Compressive Sensing Techniques (8 papers), Machine Learning and Algorithms (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Ludwig Schmidt is often cited by papers focused on Sparse and Compressive Sensing Techniques (8 papers), Machine Learning and Algorithms (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Ludwig Schmidt collaborates with scholars based in United States, Netherlands and United Kingdom. Ludwig Schmidt's co-authors include Piotr Indyk, Chinmay Hegde, Rebecca Roelofs, Aleksander Mądry, Dimitris Tsipras, Mark Iwen, Anna C. Gilbert, Vaishaal Shankar, Benjamin Recht and Ilya Razenshteyn and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Signal Processing Magazine and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Ludwig Schmidt

33 papers receiving 909 citations

Hit Papers

Robust fine-tuning of zer... 2022 2026 2023 2024 2022 50 100 150
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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Robust fine-tuning of zero-shot models
    2022 197 citations Mitchell Wortsman, Gabriel Ilharco et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ludwig Schmidt 546 399 130 125 81 36 961
Don Hush 573 1.0× 236 0.6× 132 1.0× 78 0.6× 103 1.3× 44 964
Yi-Ren Yeh 640 1.2× 548 1.4× 93 0.7× 146 1.2× 117 1.4× 38 1.1k
Tamir Hazan 525 1.0× 535 1.3× 135 1.0× 134 1.1× 87 1.1× 51 1.2k
Dong Xu 614 1.1× 856 2.1× 115 0.9× 91 0.7× 53 0.7× 18 1.2k
Mahdi Soltanolkotabi 429 0.8× 274 0.7× 297 2.3× 104 0.8× 123 1.5× 34 905
Miguel Lázaro-Gredilla 589 1.1× 180 0.5× 149 1.1× 187 1.5× 62 0.8× 39 1.2k
Chuan Guo 566 1.0× 533 1.3× 73 0.6× 95 0.8× 31 0.4× 29 1.1k
Changyou Chen 506 0.9× 526 1.3× 94 0.7× 78 0.6× 31 0.4× 55 987
Dorina Thanou 769 1.4× 217 0.5× 138 1.1× 68 0.5× 147 1.8× 33 1.2k
Purushottam Kar 642 1.2× 311 0.8× 144 1.1× 90 0.7× 69 0.9× 32 1.0k

Countries citing papers authored by Ludwig Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Ludwig Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ludwig Schmidt

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

All Works

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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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2026