Charles Herrmann

70 total papers · 975 total citations
22 papers, 277 citations indexed

About

Charles Herrmann is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Charles Herrmann has authored 22 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Charles Herrmann's work include Advanced Vision and Imaging (8 papers), Advanced Image Processing Techniques (5 papers) and Image Enhancement Techniques (3 papers). Charles Herrmann is often cited by papers focused on Advanced Vision and Imaging (8 papers), Advanced Image Processing Techniques (5 papers) and Image Enhancement Techniques (3 papers). Charles Herrmann collaborates with scholars based in United States, Canada and United Kingdom. Charles Herrmann's co-authors include Ramin Zabih, Deqing Sun, Huiwen Chang, Ce Liu, Varun Jampani, William T. Freeman, Hamdy Soliman, Michael Krainin, Daniel Vlasic and Deqing Sun and has published in prestigious journals such as ACM Transactions on Graphics, Manufacturing & Service Operations Management and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Charles Herrmann

21 papers receiving 267 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Charles Herrmann 168 52 40 30 21 22 277
Wenchao Li 106 0.6× 51 1.0× 9 0.2× 18 0.6× 10 0.5× 15 297
Alfred Schmitt 155 0.9× 19 0.4× 27 0.7× 48 1.6× 23 1.1× 23 274
Jianmin Bao 214 1.3× 85 1.6× 8 0.2× 57 1.9× 8 0.4× 25 330
Xi Zhang 151 0.9× 27 0.5× 33 0.8× 20 0.7× 25 1.2× 25 217
Huan Wang 155 0.9× 26 0.5× 21 0.5× 20 0.7× 32 1.5× 27 220
Zhenzhong Kuang 179 1.1× 86 1.7× 21 0.5× 15 0.5× 13 0.6× 32 260
Zaiyang Yu 141 0.8× 63 1.2× 22 0.6× 10 0.3× 25 1.2× 20 303
Michel Sarkis 258 1.5× 16 0.3× 21 0.5× 34 1.1× 33 1.6× 26 300
Shih-Ping Liou 232 1.4× 28 0.5× 30 0.8× 12 0.4× 17 0.8× 30 271
Yipeng Qin 137 0.8× 51 1.0× 8 0.2× 51 1.7× 24 1.1× 33 257

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).

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.

Co-authorship network of co-authors of Charles Herrmann

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Herrmann. A scholar is included among the top collaborators of Charles Herrmann based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Charles Herrmann. Charles Herrmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026