Jonas Geiping

14 papers and 165 indexed citations i.

About

Jonas Geiping is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Jonas Geiping has authored 14 papers receiving a total of 165 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 3 papers in Computational Mechanics. Recurrent topics in Jonas Geiping’s work include Adversarial Robustness in Machine Learning (8 papers), Advanced Neural Network Applications (4 papers) and Privacy-Preserving Technologies in Data (3 papers). Jonas Geiping is often cited by papers focused on Adversarial Robustness in Machine Learning (8 papers), Advanced Neural Network Applications (4 papers) and Privacy-Preserving Technologies in Data (3 papers). Jonas Geiping collaborates with scholars based in United States and Germany. Jonas Geiping's co-authors include Tom Goldstein, Micah Goldblum, Michael Moeller, Liam Fowl, Avi Schwarzschild, Valeriia Cherepanova, Amin Ghiasi, Arpit Bansal, Arjun K. Gupta and Hongmin Chu and has published in prestigious journals such as SIAM Journal on Imaging Sciences, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and arXiv (Cornell University).

In The Last Decade

Co-authorship network of co-authors of Jonas Geiping i

Fields of papers citing papers by Jonas Geiping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jonas Geiping

Since Specialization
Citations

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