David Münch
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Advanced Vision and Imaging
Papers in
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- Human Pose and Action Recognition 5
- Video Surveillance and Tracking Methods 3
- Advanced Neural Network Applications 2
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- Anomaly Detection Techniques and Applications 4
- Adversarial Robustness in Machine Learning 2
- Semantic Web and Ontologies 1
- Co-authors
- Michael Arens (10 shared papers)Tamim Asfour (1 shared paper)Rüdiger Dillmann (1 shared paper)Pedram Azad (1 shared paper)Joris IJsselmuiden (2 shared papers)Wolfgang Hübner (2 shared papers)Rainer Stiefelhagen (2 shared papers)Stefan Becker (1 shared paper)
- Journals
- Journal of Ambient Intelligence and Smart Environments (1 paper)SHILAP Revista de lepidopterología (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)Fraunhofer-Publica (Fraunhofer-Gesellschaft) (6 papers)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (2 papers)
- Partner nations
- Germany
In The Last Decade
David Münch
8 papers receiving 278 citations
David Münch's Hit Papers
Peers
Comparison fields: 5 of 100
- Health Informatics 9
- Computer Vision and Pattern Recognition 88
- Artificial Intelligence 118
- Geology 10
- Biophysics 9
Countries citing papers authored by David Münch
This map shows the geographic impact of David Münch'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 David Münch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Münch more than expected).
Fields of papers citing papers by David Münch
This network shows the impact of papers produced by David Münch. 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 David Münch. The network helps show where David Münch may publish in the future.
Co-authors
The 8 scholars most cited alongside David Münch, 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 | Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey Hit paper breakdown → | 2021 | 233 |
| 2 | 2011 | 34 | |
| 3 | 2011 | 7 | |
| 4 | 2016 | 7 | |
| 5 | 2016 | 3 | |
| 6 | 2019 | 2 | |
| 7 | 2014 | 2 | |
| 8 | 2019 | 2 | |
| 9 | 2024 | 0 | |
| 10 | 2022 | 0 | |
| 11 | 2022 | 0 |
About David Münch
David Münch is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Biomedical Engineering and Molecular Biology, having authored 11 papers that have together received 290 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (5 papers), Anomaly Detection Techniques and Applications (4 papers), Video Surveillance and Tracking Methods (3 papers), Gait Recognition and Analysis (2 papers), Adversarial Robustness in Machine Learning (2 papers), Advanced Neural Network Applications (2 papers), Semantic Web and Ontologies (1 paper) and Hand Gesture Recognition Systems (1 paper). The work is most often cited by research in Health Informatics (9 citations), Computer Vision and Pattern Recognition (88 citations), Artificial Intelligence (118 citations), Geology (10 citations) and Biophysics (9 citations). David Münch has collaborated with scholars based in Germany. Frequent co-authors include Michael Arens, Tamim Asfour, Rüdiger Dillmann, Pedram Azad, Joris IJsselmuiden, Wolfgang Hübner, Rainer Stiefelhagen and Stefan Becker. Their work appears in journals such as Journal of Ambient Intelligence and Smart Environments, SHILAP Revista de lepidopterología, HAL (Le Centre pour la Communication Scientifique Directe), Fraunhofer-Publica (Fraunhofer-Gesellschaft) and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.