David Doermann

146 papers and 5.0k indexed citations i.

About

David Doermann is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, David Doermann has authored 146 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Computer Vision and Pattern Recognition, 47 papers in Artificial Intelligence and 17 papers in Media Technology. Recurrent topics in David Doermann’s work include Handwritten Text Recognition Techniques (53 papers), Image Retrieval and Classification Techniques (34 papers) and Advanced Image and Video Retrieval Techniques (31 papers). David Doermann is often cited by papers focused on Handwritten Text Recognition Techniques (53 papers), Image Retrieval and Classification Techniques (34 papers) and Advanced Image and Video Retrieval Techniques (31 papers). David Doermann collaborates with scholars based in United States, China and India. David Doermann's co-authors include Qixiang Ye, Le Kang, Peng Ye, Yi Li, Yefeng Zheng, Peng Ye, Baochang Zhang, Huiping Li, Jian Liang and Omid E. Kia and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Co-authorship network of co-authors of David Doermann i

Fields of papers citing papers by David Doermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by David Doermann

Since Specialization
Citations

This map shows the geographic impact of David Doermann'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 David Doermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Doermann 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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2025