Claus Bahlmann

32 total papers · 1.9k total citations
23 papers, 1.2k citations indexed

About

Claus Bahlmann is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Claus Bahlmann has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Claus Bahlmann's work include AI in cancer detection (5 papers), Handwritten Text Recognition Techniques (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Claus Bahlmann is often cited by papers focused on AI in cancer detection (5 papers), Handwritten Text Recognition Techniques (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Claus Bahlmann collaborates with scholars based in United States and Germany. Claus Bahlmann's co-authors include H. Bürkhardt, Bernard Haasdonk, Visvanathan Ramesh, M. Pellkofer, Yingying Zhu, Thomas Kœhler, Maneesh Kumar Singh, J. Giebel, Gregory Baratoff and Gunther Heidemann and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Pattern Recognition.

In The Last Decade

Claus Bahlmann

23 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Claus Bahlmann 725 361 252 160 139 23 1.2k
Gareth Loy 795 1.1× 124 0.3× 237 0.9× 132 0.8× 127 0.9× 25 1.2k
Nadia Kanwal 681 0.9× 183 0.5× 87 0.3× 69 0.4× 107 0.8× 56 1.3k
Qi She 761 1.0× 444 1.2× 117 0.5× 55 0.3× 95 0.7× 33 1.3k
Raymond Ptucha 617 0.9× 329 0.9× 141 0.6× 100 0.6× 140 1.0× 76 1.1k
Bappaditya Mandal 624 0.9× 175 0.5× 80 0.3× 72 0.5× 185 1.3× 56 1.2k
Heechul Jung 972 1.3× 377 1.0× 93 0.4× 74 0.5× 119 0.9× 50 1.4k
Ashish Jaiswal 404 0.6× 521 1.4× 70 0.3× 119 0.7× 76 0.5× 17 1.2k
Gunther Heidemann 917 1.3× 270 0.7× 93 0.4× 113 0.7× 107 0.8× 83 1.3k
Yizeng Han 538 0.7× 352 1.0× 109 0.4× 58 0.4× 60 0.4× 21 968
Anbang Yao 1.2k 1.7× 285 0.8× 125 0.5× 54 0.3× 68 0.5× 28 1.4k

Countries citing papers authored by Claus Bahlmann

Since Specialization
Citations

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

Fields of papers citing papers by Claus Bahlmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claus Bahlmann

This figure shows the co-authorship network connecting the top 25 collaborators of Claus Bahlmann. A scholar is included among the top collaborators of Claus Bahlmann 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 Claus Bahlmann. Claus Bahlmann 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