Andreas Veit

17 papers and 1.0k indexed citations i.

About

Andreas Veit is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Andreas Veit has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Andreas Veit’s work include Advanced Neural Network Applications (7 papers), Adversarial Robustness in Machine Learning (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Andreas Veit is often cited by papers focused on Advanced Neural Network Applications (7 papers), Adversarial Robustness in Machine Learning (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Andreas Veit collaborates with scholars based in United States, Germany and United Kingdom. Andreas Veit's co-authors include Serge Belongie, Michael J. Wilber, Ivan Krasin, Abhinav Gupta, Neil Alldrin, Gal Chechik, Ayan Chakrabarti, Daniel Gläsner, Daliang Li and Kavita Bala and has published in prestigious journals such as International Journal of Computer Vision, Neuroradiology and International Conference on Computer Vision.

In The Last Decade

Co-authorship network of co-authors of Andreas Veit i

Fields of papers citing papers by Andreas Veit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andreas Veit

Since Specialization
Citations

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