Claus Bahlmann

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, Thomas Kœhler, Yingying Zhu, Maneesh Kumar Singh, Gregory Baratoff, J. Giebel and Christoph Sprunk 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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Claus Bahlmann United States 13 724 360 251 159 139 23 1.2k
Hyeran Byun South Korea 20 861 1.2× 444 1.2× 136 0.5× 131 0.8× 141 1.0× 137 1.6k
Yuanlong Yu China 18 652 0.9× 514 1.4× 164 0.7× 107 0.7× 84 0.6× 103 1.4k
Byung Cheol Song South Korea 19 825 1.1× 246 0.7× 149 0.6× 72 0.5× 256 1.8× 147 1.2k
Min Sun United States 21 1.6k 2.2× 565 1.6× 129 0.5× 208 1.3× 70 0.5× 86 2.0k
Raymond Ptucha United States 18 624 0.9× 333 0.9× 143 0.6× 101 0.6× 141 1.0× 76 1.1k
Weidong Min China 24 1.2k 1.7× 374 1.0× 332 1.3× 178 1.1× 92 0.7× 126 1.8k
Sen-ching S. Cheung United States 25 1.9k 2.7× 448 1.2× 142 0.6× 129 0.8× 239 1.7× 105 2.6k
Honggang Zhang China 21 1.8k 2.5× 457 1.3× 202 0.8× 70 0.4× 159 1.1× 136 2.4k
Andreas Savakis United States 17 931 1.3× 274 0.8× 196 0.8× 91 0.6× 92 0.7× 135 1.3k
Qi She Hong Kong 15 779 1.1× 458 1.3× 118 0.5× 57 0.4× 96 0.7× 33 1.3k

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

20 of 20 papers shown
1.
Zeller, Marc, et al.. (2024). Toward a safe MLOps process for the continuous development and safety assurance of ML-based systems in the railway domain. AI and Ethics. 4(1). 123–130. 8 indexed citations
2.
Kohlberger, Timo, et al.. (2012). Evaluating Segmentation Error without Ground Truth. Lecture notes in computer science. 15(Pt 1). 528–536. 48 indexed citations
3.
Chekkoury, Andrei, Parmeshwar Khurd, Jie Ni, et al.. (2012). Automated malignancy detection in breast histopathological images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8315. 831515–831515. 33 indexed citations
4.
Bahlmann, Claus, Jeffrey P. Johnson, Jie Ni, et al.. (2012). Automated detection of diagnostically relevant regions in H&E stained digital pathology slides. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8315. 831504–831504. 23 indexed citations
5.
Ni, Jie, Maneesh Kumar Singh, & Claus Bahlmann. (2012). Fast radial symmetry detection under affine transformations. 932–939. 22 indexed citations
6.
Li, Wei, et al.. (2012). Luggage visualization and virtual unpacking. 161–168. 2 indexed citations
7.
Parag, Toufiq, Claus Bahlmann, Vinay Shet, & Maneesh Singh. (2012). A grammar for hierarchical object descriptions in logic programs. 33–38. 1 indexed citations
8.
Khurd, Parmeshwar, Claus Bahlmann, Ali Kamen, et al.. (2010). Computer-aided gleason grading of prostate cancer histopathological images using texton forests. PubMed. 14-17 April 2010. 636–639. 51 indexed citations
9.
Bahlmann, Claus, et al.. (2009). Freeform shape clustering for customized design automation. 3. 1590–1597. 1 indexed citations
10.
Shet, Vinay, Maneesh Singh, Claus Bahlmann, & Visvanathan Ramesh. (2009). Predicate logic based image grammars for complex pattern recognition. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2 indexed citations
11.
Shet, Vinay, Maneesh Singh, Claus Bahlmann, & Visvanathan Ramesh. (2009). Predicate logic based image grammars for complex pattern recognition. 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 7–7. 5 indexed citations
12.
Bahlmann, Claus, M. Pellkofer, J. Giebel, & Gregory Baratoff. (2008). Multi-modal speed limit assistants: Combining camera and GPS maps. 132–137. 9 indexed citations
13.
Keller, Christoph G., Christoph Sprunk, Claus Bahlmann, J. Giebel, & Gregory Baratoff. (2008). Real-time recognition of U.S. speed signs. 518–523. 74 indexed citations
14.
Bahlmann, Claus, Yingying Zhu, Visvanathan Ramesh, M. Pellkofer, & Thomas Kœhler. (2005). A system for traffic sign detection, tracking, and recognition using color, shape, and motion information. 255–260. 313 indexed citations
15.
Bahlmann, Claus. (2005). Directional features in online handwriting recognition. Pattern Recognition. 39(1). 115–125. 58 indexed citations
16.
Bahlmann, Claus. (2005). Advanced Sequence Classification Techniques Applied to Online Handwriting Recognition. 2 indexed citations
17.
Bahlmann, Claus & H. Bürkhardt. (2004). The writer independent online handwriting recognition system frog on hand and cluster generative statistical dynamic time warping. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26(3). 299–310. 125 indexed citations
18.
Bahlmann, Claus, Bernard Haasdonk, & H. Bürkhardt. (2003). Online handwriting recognition with support vector machines - a kernel approach. 49–54. 200 indexed citations
19.
20.
Bahlmann, Claus, Gunther Heidemann, & Helge Ritter. (1999). Artificial neural networks for automated quality control of textile seams. Pattern Recognition. 32(6). 1049–1060. 44 indexed citations

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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