S. Manke
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
Papers in
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- Speech Recognition and Synthesis 5
- Natural Language Processing Techniques 3
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- Handwritten Text Recognition Techniques 6
- Video Analysis and Summarization 2
- Co-authors
- Alexander Waibel (5 shared papers)Stefan Jaeger (2 shared papers)J. Reichert (1 shared paper)Christoph Bregler (2 shared papers)Hermann Hild (2 shared papers)Alex Waibel (3 shared papers)Michael Finke (4 shared papers)Paul Duchnowski (1 shared paper)
- Journals
- International Journal on Document Analysis and Recognition (IJDAR) (1 paper)Artificial Intelligence Review (1 paper)Data Archiving and Networked Services (DANS) (1 paper)Repository KITopen (Karlsruhe Institute of Technology) (2 papers)IEEE International Conference on Acoustics Speech and Signal Processing (2 papers)
- Partner nations
- United StatesGermany
In The Last Decade
S. Manke
11 papers receiving 356 citations
Peers
Comparison fields: 5 of 37
- Human-Computer Interaction 120
- Computer Vision and Pattern Recognition 290
- Signal Processing 102
- Media Technology 72
- Artificial Intelligence 189
Countries citing papers authored by S. Manke
This map shows the geographic impact of S. Manke'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 S. Manke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Manke more than expected).
Fields of papers citing papers by S. Manke
This network shows the impact of papers produced by S. Manke. 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 S. Manke. The network helps show where S. Manke may publish in the future.
Co-authors
The 9 scholars most cited alongside S. Manke, 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 | 2001 | 180 | |
| 2 | 1993 | 89 | |
| 3 | 1996 | 43 | |
| 4 | 2000 | 20 | |
| 5 | 2002 | 19 | |
| 6 | 2002 | 17 | |
| 7 | 1996 | 11 | |
| 8 | 2002 | 10 | |
| 9 | 1993 | 9 | |
| 10 | 1995 | 7 | |
| 11 | 2002 | 2 |
About S. Manke
S. Manke is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Human-Computer Interaction and Infectious Diseases, having authored 11 papers that have together received 407 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (6 papers), Speech Recognition and Synthesis (5 papers), Music and Audio Processing (4 papers), Natural Language Processing Techniques (3 papers), Time Series Analysis and Forecasting (3 papers), Speech and Audio Processing (2 papers), Hand Gesture Recognition Systems (2 papers) and Video Analysis and Summarization (2 papers). The work is most often cited by research in Human-Computer Interaction (120 citations), Computer Vision and Pattern Recognition (290 citations), Signal Processing (102 citations), Media Technology (72 citations) and Artificial Intelligence (189 citations). S. Manke has collaborated with scholars based in United States and Germany. Frequent co-authors include Alexander Waibel, Stefan Jaeger, J. Reichert, Christoph Bregler, Hermann Hild, Alex Waibel, Michael Finke, Paul Duchnowski and Alex Waibel. Their work appears in journals such as International Journal on Document Analysis and Recognition (IJDAR), Artificial Intelligence Review, Data Archiving and Networked Services (DANS), Repository KITopen (Karlsruhe Institute of Technology) and IEEE International Conference on Acoustics Speech and Signal Processing.
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.