Charles Herrmann

About

Charles Herrmann is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Charles Herrmann has authored 18 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Cognitive Neuroscience. Recurrent topics in Charles Herrmann’s work include Advanced Vision and Imaging (8 papers), Advanced Image Processing Techniques (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Charles Herrmann is often cited by papers focused on Advanced Vision and Imaging (8 papers), Advanced Image Processing Techniques (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Charles Herrmann collaborates with scholars based in United States, Canada and China. Charles Herrmann's co-authors include Ramin Zabih, Ce Liu, Huiwen Chang, Deqing Sun, Varun Jampani, Daniel Vlasic, Michael Krainin, William T. Freeman, Marie‐Paule Daniel and Rahul Garg and has published in prestigious journals such as Manufacturing & Service Operations Management, Digital Access to Scholarship at Harvard (DASH) (Harvard University) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Co-authorship network of co-authors of Charles Herrmann i

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Fields of papers citing papers by Charles Herrmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Charles Herrmann

Since Specialization

Citations

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