Timo Milbich

About

Timo Milbich is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Timo Milbich has authored 11 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 1 paper in Biomedical Engineering. Recurrent topics in Timo Milbich’s work include Generative Adversarial Networks and Image Synthesis (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Vision and Imaging (4 papers). Timo Milbich is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Vision and Imaging (4 papers). Timo Milbich collaborates with scholars based in Germany, United States and Canada. Timo Milbich's co-authors include Björn Ommer, Dominik Lorenz, Karsten Roth, Andreas Blattmann, Uwe Franke, David Pfeiffer, Robin Rombach, Biagio Brattoli, Konstantinos G. Derpanis and Miguel Ángel Bautista and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Timo Milbich i

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Fields of papers citing papers by Timo Milbich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Timo Milbich

Since Specialization

Citations

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