Jochen Maydt
Impact in
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- Video Surveillance and Tracking Methods
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Face recognition and analysis
- Advanced Neural Network Applications
- Human-Computer Interaction top 1%
- Gaze Tracking and Assistive Technology
- Hand Gesture Recognition Systems
Papers in
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- Genomics and Phylogenetic Studies 1
- Gene expression and cancer classification 1
- Gene Regulatory Network Analysis 1
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- Advanced Image and Video Retrieval Techniques 2
- Face and Expression Recognition 2
- Face recognition and analysis 1
- Co-authors
- Rainer Lienhart (2 shared papers)Thomas Lengauer (4 shared papers)Jörg Rahnenführer (1 shared paper)Francisco S. Domingues (1 shared paper)Martin Welker (1 shared paper)Axel J. Scheidig (1 shared paper)Mario Albrecht (1 shared paper)Stefan Zeuzem (1 shared paper)
- Journals
- Bioinformatics (1 paper)Journal of Molecular Graphics and Modelling (1 paper)Retrovirology (1 paper)Statistical Applications in Genetics and Molecular Biology (1 paper)Max Planck Digital Library (1 paper)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Jochen Maydt
6 papers receiving 2.0k citations
Jochen Maydt's Hit Papers
Peers
Comparison fields: 5 of 141
- Computer Vision and Pattern Recognition 1.5k
- Human-Computer Interaction 262
- Media Technology 180
- Signal Processing 199
- Experimental and Cognitive Psychology 101
Countries citing papers authored by Jochen Maydt
This map shows the geographic impact of Jochen Maydt'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 Jochen Maydt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jochen Maydt more than expected).
Fields of papers citing papers by Jochen Maydt
This network shows the impact of papers produced by Jochen Maydt. 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 Jochen Maydt. The network helps show where Jochen Maydt may publish in the future.
Co-authors
The 19 scholars most cited alongside Jochen Maydt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | An extended set of Haar-like features for rapid object detection Hit paper breakdown → | 2003 | 1967 |
| 2 | 2006 | 92 | |
| 3 | 2004 | 92 | |
| 4 | 2007 | 30 | |
| 5 | 2007 | 20 | |
| 6 | 2003 | 4 |
About Jochen Maydt
Jochen Maydt is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Infectious Diseases, Virology and Public Health, Environmental and Occupational Health, having authored 6 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (2 papers), Face and Expression Recognition (2 papers), Genomics and Phylogenetic Studies (1 paper), Face recognition and analysis (1 paper), HIV Research and Treatment (1 paper), Gene expression and cancer classification (1 paper), Gene Regulatory Network Analysis (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Human-Computer Interaction (262 citations), Media Technology (180 citations), Signal Processing (199 citations) and Experimental and Cognitive Psychology (101 citations). Jochen Maydt has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Rainer Lienhart, Thomas Lengauer, Jörg Rahnenführer, Francisco S. Domingues, Martin Welker, Axel J. Scheidig, Mario Albrecht, Stefan Zeuzem, Christoph Welsch and Eva Herrmann. Their work appears in journals such as Bioinformatics, Journal of Molecular Graphics and Modelling, Retrovirology, Statistical Applications in Genetics and Molecular Biology and Max Planck Digital Library.
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.