Edgar Seemann
Impact in
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- Video Surveillance and Tracking Methods
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Face and Expression Recognition
- Face recognition and analysis
- Human-Computer Interaction top 5%
Papers in
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- Video Surveillance and Tracking Methods 5
- Advanced Image and Video Retrieval Techniques 3
- Advanced Neural Network Applications 3
- Human Pose and Action Recognition 2
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- Intelligent Tutoring Systems and Adaptive Learning 2
- Co-authors
- Bernt Schiele (4 shared papers)Bastian Leibe (3 shared papers)Kai Nickel (2 shared papers)Mario Fritz (1 shared paper)Rainer Stiefelhagen (1 shared paper)Krystian Mikolajczyk (1 shared paper)Jing Yu (1 shared paper)Knut Möller (1 shared paper)
- Journals
- Repository of Futwangen University of Applied Sciences (Furtwangen University) (3 papers)Figshare (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Edgar Seemann
9 papers receiving 822 citations
Edgar Seemann's Hit Papers
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 800
- Human-Computer Interaction 77
- Artificial Intelligence 269
- Media Technology 52
- Safety, Risk, Reliability and Quality 51
Countries citing papers authored by Edgar Seemann
This map shows the geographic impact of Edgar Seemann'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 Edgar Seemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edgar Seemann more than expected).
Fields of papers citing papers by Edgar Seemann
This network shows the impact of papers produced by Edgar Seemann. 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 Edgar Seemann. The network helps show where Edgar Seemann may publish in the future.
Co-authors
The 16 scholars most cited alongside Edgar Seemann, 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 | Pedestrian Detection in Crowded Scenes Hit paper breakdown → | 2005 | 610 |
| 2 | 2004 | 90 | |
| 3 | 2006 | 55 | |
| 4 | 2007 | 39 | |
| 5 | 2005 | 37 | |
| 6 | 2004 | 27 | |
| 7 | 2003 | 14 | |
| 8 | 2013 | 13 | |
| 9 | Teaching Mathematics in Online Courses - An Interactive Feedback and Assessment Tool | 2014 | 1 |
| 10 | 2015 | 0 | |
| 11 | 2014 | 0 | |
| 12 | 2016 | 0 |
About Edgar Seemann
Edgar Seemann is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Ocean Engineering and Cognitive Neuroscience, having authored 12 papers that have together received 886 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Neural Network Applications (3 papers), Intelligent Tutoring Systems and Adaptive Learning (2 papers), Human Pose and Action Recognition (2 papers), Hand Gesture Recognition Systems (1 paper), Automated Road and Building Extraction (1 paper) and Robotics and Sensor-Based Localization (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (800 citations), Human-Computer Interaction (77 citations), Artificial Intelligence (269 citations), Media Technology (52 citations) and Safety, Risk, Reliability and Quality (51 citations). Edgar Seemann has collaborated with scholars based in Germany and United States. Frequent co-authors include Bernt Schiele, Bastian Leibe, Kai Nickel, Mario Fritz, Rainer Stiefelhagen, Krystian Mikolajczyk, Jing Yu, Knut Möller, M. Bett and Brad A. Myers. Their work appears in journals such as Repository of Futwangen University of Applied Sciences (Furtwangen University) and Figshare.
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.