Michael Jänner
Impact in
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- Computer Graphics and Visualization Techniques
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- Multimodal Machine Learning Applications
- Advanced Vision and Imaging
- Image Enhancement Techniques
- Human Pose and Action Recognition
Papers in
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- AI-based Problem Solving and Planning 1
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- Autoimmune Bullous Skin Diseases 2
- Co-authors
- Sergey Levine (2 shared papers)Karthik Narasimhan (1 shared paper)Regina Barzilay (1 shared paper)Joshua B. Tenenbaum (2 shared papers)Jiajun Wu (2 shared papers)Qiyang Li (1 shared paper)Theodor Nasemann (2 shared papers)Bärbel Schütte (1 shared paper)
- Journals
- Transactions of the Association for Computational Linguistics (1 paper)Archives of Dermatological Research (1 paper)International Journal of Cancer (1 paper)Cognitive Science (1 paper)Communication in Statistics- Theory and Methods (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Michael Jänner
8 papers receiving 132 citations
Peers
Comparison fields: 5 of 60
- Computer Graphics and Computer-Aided Design 15
- Computer Vision and Pattern Recognition 61
- Dermatology 15
- Artificial Intelligence 43
- Geography, Planning and Development 5
Countries citing papers authored by Michael Jänner
This map shows the geographic impact of Michael Jänner'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 Michael Jänner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Jänner more than expected).
Fields of papers citing papers by Michael Jänner
This network shows the impact of papers produced by Michael Jänner. 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 Michael Jänner. The network helps show where Michael Jänner may publish in the future.
Co-authors
The 24 scholars most cited alongside Michael Jänner, 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 | 2018 | 28 | |
| 2 | Self-Supervised Intrinsic Image Decomposition | 2017 | 26 |
| 3 | 1991 | 25 | |
| 4 | 2021 | 25 | |
| 5 | 1982 | 17 | |
| 6 | Reasoning About Physical Interactions with Object-Oriented Prediction and Planning | 2018 | 14 |
| 7 | Causal and compositional generative models in online perception. | 2017 | 3 |
| 8 | Color Atlas of Dermatology | 1966 | 1 |
| 9 | 1984 | 1 | |
| 10 | 1993 | 0 | |
| 11 | 1973 | 0 | |
| 12 | Color atlas of pediatric diseases, with differential diagnosis | 1998 | 0 |
About Michael Jänner
Michael Jänner is a scholar working on Artificial Intelligence, Pathology and Forensic Medicine, Computer Vision and Pattern Recognition, Oncology and Epidemiology, having authored 12 papers that have together received 140 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (2 papers), Autoimmune Bullous Skin Diseases (2 papers), Oral and Craniofacial Lesions (1 paper), Cognitive Science and Education Research (1 paper), Mast cells and histamine (1 paper), Multimodal Machine Learning Applications (1 paper), Melanoma and MAPK Pathways (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (15 citations), Computer Vision and Pattern Recognition (61 citations), Dermatology (15 citations), Artificial Intelligence (43 citations) and Geography, Planning and Development (5 citations). Michael Jänner has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Sergey Levine, Karthik Narasimhan, Regina Barzilay, Joshua B. Tenenbaum, Jiajun Wu, Qiyang Li, Theodor Nasemann, Bärbel Schütte, Tejas D. Kulkarni and Ilker Yildirim. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Archives of Dermatological Research, International Journal of Cancer, Cognitive Science and Communication in Statistics- Theory and Methods.
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.