Susanne Westphal
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
Papers in
- Surgery 2
- Co-authors
- Florian Hoppe (1 shared paper)Vincent Michalski (1 shared paper)Heuna Kim (1 shared paper)Raghav Goyal (1 shared paper)Joanna Materzyńska (1 shared paper)Christian Thurau (1 shared paper)Ingo Fruend (1 shared paper)Ingo Bax (1 shared paper)
In The Last Decade
Susanne Westphal
12 papers receiving 1.1k citations
Susanne Westphal's Hit Papers
Peers
Comparison fields: 5 of 98
- Computer Vision and Pattern Recognition 780
- Artificial Intelligence 483
- Human-Computer Interaction 73
- Signal Processing 108
- Hepatology 52
Countries citing papers authored by Susanne Westphal
This map shows the geographic impact of Susanne Westphal'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 Susanne Westphal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susanne Westphal more than expected).
Fields of papers citing papers by Susanne Westphal
This network shows the impact of papers produced by Susanne Westphal. 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 Susanne Westphal. The network helps show where Susanne Westphal may publish in the future.
Co-authors
The 25 scholars most cited alongside Susanne Westphal, 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 | The “Something Something” Video Database for Learning and Evaluating Visual Common Sense Hit paper breakdown → | 2017 | 808 |
| 2 | 2018 | 134 | |
| 3 | 2012 | 71 | |
| 4 | 2006 | 19 | |
| 5 | 2015 | 15 | |
| 6 | 2012 | 9 | |
| 7 | 2013 | 8 | |
| 8 | 2016 | 7 | |
| 9 | 2014 | 3 | |
| 10 | [Intoxication with prilocaine/lidocaine can cause serious methemoglobinemia]. | 2019 | 2 |
| 11 | 2023 | 1 | |
| 12 | 2021 | 1 |
About Susanne Westphal
Susanne Westphal is a scholar working on Surgery, Nephrology, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Health, Toxicology and Mutagenesis, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (2 papers), Multimodal Machine Learning Applications (1 paper), Hearing Loss and Rehabilitation (1 paper), Urban Green Space and Health (1 paper), Streptococcal Infections and Treatments (1 paper), Medical Practices and Rehabilitation (1 paper), Health and Medical Studies (1 paper) and Liver Disease and Transplantation (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (780 citations), Artificial Intelligence (483 citations), Human-Computer Interaction (73 citations), Signal Processing (108 citations) and Hepatology (52 citations). Susanne Westphal has collaborated with scholars based in Sweden, Germany and Iran. Frequent co-authors include Florian Hoppe, Vincent Michalski, Heuna Kim, Raghav Goyal, Joanna Materzyńska, Christian Thurau, Ingo Fruend, Ingo Bax, Samira Ebrahimi Kahou and P.N. Yianilos. Their work appears in journals such as Nitric Oxide, Virtual Reality, Liver Transplantation, Transplantation Proceedings and Physikalische Medizin Rehabilitationsmedizin Kurortmedizin.
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.