Ludwig Schmidt

31 papers and 1.8k indexed citations i.

About

Ludwig Schmidt is a scholar working on Artificial Intelligence, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ludwig Schmidt has authored 31 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 9 papers in Computational Mechanics and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ludwig Schmidt’s work include Sparse and Compressive Sensing Techniques (8 papers), Machine Learning and Algorithms (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Ludwig Schmidt is often cited by papers focused on Sparse and Compressive Sensing Techniques (8 papers), Machine Learning and Algorithms (8 papers) and Domain Adaptation and Few-Shot Learning (7 papers). Ludwig Schmidt collaborates with scholars based in United States, The Netherlands and Germany. Ludwig Schmidt's co-authors include Aleksander Mądry, Dimitris Tsipras, Adrian Vladu, Piotr Indyk, Chinmay Hegde, Rebecca Roelofs, Vaishaal Shankar, Mark Iwen, Anna C. Gilbert and Moritz Hardt and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Signal Processing Magazine and DSpace@MIT (Massachusetts Institute of Technology).

In The Last Decade

Co-authorship network of co-authors of Ludwig Schmidt i

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.

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).

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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