Patrick Doetsch
Impact in
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- Handwritten Text Recognition Techniques
- Image Processing and 3D Reconstruction
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
Papers in
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- Natural Language Processing Techniques 15
- Speech Recognition and Synthesis 5
- Machine Learning and Algorithms 3
- Machine Learning and Data Classification 2
- Imbalanced Data Classification Techniques 1
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- Handwritten Text Recognition Techniques 14
- Image Processing and 3D Reconstruction 7
- Co-authors
- Hermann Ney (19 shared papers)Pavel Golik (2 shared papers)Michał Kozielski (5 shared papers)Paul Voigtlaender (2 shared papers)Christian Plahl (1 shared paper)Philippe Dreuw (1 shared paper)Ralf Schlüter (4 shared papers)Albert Zeyer (2 shared papers)
- Journals
- IEEE Journal of Selected Topics in Signal Processing (1 paper)IEEE Conference Proceedings (1 paper)RWTH Publications (RWTH Aachen) (6 papers)Neural Information Processing Systems (1 paper)RWTH Publications (RWTH Aachen) (3 papers)
In The Last Decade
Patrick Doetsch
20 papers receiving 586 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 392
- Artificial Intelligence 328
- Media Technology 70
- Human-Computer Interaction 42
- Signal Processing 77
Countries citing papers authored by Patrick Doetsch
This map shows the geographic impact of Patrick Doetsch'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 Patrick Doetsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Doetsch more than expected).
Fields of papers citing papers by Patrick Doetsch
This network shows the impact of papers produced by Patrick Doetsch. 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 Patrick Doetsch. The network helps show where Patrick Doetsch may publish in the future.
Co-authors
The 19 scholars most cited alongside Patrick Doetsch, 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 | 2013 | 154 | |
| 2 | 2016 | 116 | |
| 3 | 2014 | 102 | |
| 4 | 2013 | 42 | |
| 5 | 2011 | 36 | |
| 6 | 2016 | 31 | |
| 7 | Logistic Model Trees with AUC split criterion for the KDD cup 2009 small challenge | 2009 | 24 |
| 8 | 2014 | 22 | |
| 9 | 2015 | 20 | |
| 10 | 2016 | 10 | |
| 11 | 2017 | 9 | |
| 12 | 2014 | 8 | |
| 13 | 2012 | 8 | |
| 14 | 2014 | 6 | |
| 15 | 2014 | 6 | |
| 16 | 2014 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2018 | 5 | |
| 19 | Inverted HMM - a Proof of Concept | 2016 | 3 |
| 20 | 2015 | 1 |
About Patrick Doetsch
Patrick Doetsch is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Human-Computer Interaction and Infectious Diseases, having authored 20 papers that have together received 613 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Handwritten Text Recognition Techniques (14 papers), Image Processing and 3D Reconstruction (7 papers), Speech Recognition and Synthesis (5 papers), Music and Audio Processing (3 papers), Machine Learning and Algorithms (3 papers), Machine Learning and Data Classification (2 papers) and Imbalanced Data Classification Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (392 citations), Artificial Intelligence (328 citations), Media Technology (70 citations), Human-Computer Interaction (42 citations) and Signal Processing (77 citations). Patrick Doetsch has collaborated with scholars based in Germany, France and Thailand. Frequent co-authors include Hermann Ney, Pavel Golik, Michał Kozielski, Paul Voigtlaender, Christian Plahl, Philippe Dreuw, Ralf Schlüter, Albert Zeyer, Amr El-Desoky Mousa and Simon Wiesler. Their work appears in journals such as IEEE Journal of Selected Topics in Signal Processing, IEEE Conference Proceedings, RWTH Publications (RWTH Aachen), Neural Information Processing Systems and RWTH Publications (RWTH Aachen).
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.