Peter Schlicht
Impact in
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- Advanced Neural Network Applications
- Advanced Image Processing Techniques
- Advanced Image and Video Retrieval Techniques
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- Adversarial Robustness in Machine Learning
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
Papers in
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- Advanced Neural Network Applications 9
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- Adversarial Robustness in Machine Learning 6
- Anomaly Detection Techniques and Applications 5
- Co-authors
- Fabian Hüger (17 shared papers)Tim Fingscheidt (10 shared papers)Nico M. Schmidt (3 shared papers)Matthias Rottmann (4 shared papers)Hanno Gottschalk (5 shared papers)Robin Chan (4 shared papers)Ján Schneider (2 shared papers)Vincent Aravantinos (1 shared paper)
- Journals
- IEEE Signal Processing Magazine (1 paper)SPE Journal (1 paper)Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description (1 paper)Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference (1 paper)AI and Ethics (1 paper)
- Partner nations
- GermanyBritish Virgin IslandsUnited States
In The Last Decade
Peter Schlicht
28 papers receiving 219 citations
Peers
Comparison fields: 5 of 52
- Computer Vision and Pattern Recognition 138
- Artificial Intelligence 85
- Ocean Engineering 34
- Automotive Engineering 24
- Media Technology 12
Countries citing papers authored by Peter Schlicht
This map shows the geographic impact of Peter Schlicht'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 Peter Schlicht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Schlicht more than expected).
Fields of papers citing papers by Peter Schlicht
This network shows the impact of papers produced by Peter Schlicht. 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 Peter Schlicht. The network helps show where Peter Schlicht may publish in the future.
Co-authors
The 22 scholars most cited alongside Peter Schlicht, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 29 | |
| 2 | 2020 | 27 | |
| 3 | 2020 | 22 | |
| 4 | 2020 | 16 | |
| 5 | 2019 | 16 | |
| 6 | 2020 | 13 | |
| 7 | 2019 | 13 | |
| 8 | 2015 | 10 | |
| 9 | 2020 | 9 | |
| 10 | 2020 | 8 | |
| 11 | 2014 | 7 | |
| 12 | 2021 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2021 | 5 | |
| 17 | 2018 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2014 | 3 |
About Peter Schlicht
Peter Schlicht is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Ocean Engineering, Mechanical Engineering and Geophysics, having authored 29 papers that have together received 230 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (9 papers), Adversarial Robustness in Machine Learning (6 papers), Anomaly Detection Techniques and Applications (5 papers), Reservoir Engineering and Simulation Methods (4 papers), Hydraulic Fracturing and Reservoir Analysis (4 papers), Geophysical and Geoelectrical Methods (3 papers), Hydrocarbon exploration and reservoir analysis (3 papers) and Seismic Imaging and Inversion Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (138 citations), Artificial Intelligence (85 citations), Ocean Engineering (34 citations), Automotive Engineering (24 citations) and Media Technology (12 citations). Peter Schlicht has collaborated with scholars based in Germany, British Virgin Islands and United States. Frequent co-authors include Fabian Hüger, Tim Fingscheidt, Nico M. Schmidt, Matthias Rottmann, Hanno Gottschalk, Robin Chan, Ján Schneider, Vincent Aravantinos, Michael Weber and J. Marius Zöllner. Their work appears in journals such as IEEE Signal Processing Magazine, SPE Journal, Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description, Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference and AI and Ethics.
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.