Ralf Schönmeyer
Impact in
- Cognitive Neuroscience top 5%
- Functional Brain Connectivity Studies
- Hemispheric Asymmetry in Neuroscience
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in
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- AI in cancer detection 3
- Neural Networks and Applications 2
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- Radiomics and Machine Learning in Medical Imaging 3
- Advanced Neuroimaging Techniques and Applications 2
- Co-authors
- Corinna Haenschel (5 shared papers)Anna Rotarska-Jagiela (4 shared papers)David E.J. Linden (4 shared papers)Viola Oertel (2 shared papers)Kai Vogeley (1 shared paper)Christian Knöchel (2 shared papers)Peter J. Uhlhaas (2 shared papers)Vincent van de Ven (2 shared papers)
- Journals
- Scientific Reports (2 papers)NeuroImage (2 papers)Computers in Biology and Medicine (1 paper)Biological Psychiatry (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- GermanyFranceUnited Kingdom
In The Last Decade
Ralf Schönmeyer
16 papers receiving 538 citations
Peers
Comparison fields: 5 of 83
- Cognitive Neuroscience 258
- Radiology, Nuclear Medicine and Imaging 270
- Psychiatry and Mental health 115
- Computational Mathematics 3
- Biological Psychiatry 11
Countries citing papers authored by Ralf Schönmeyer
This map shows the geographic impact of Ralf Schönmeyer'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 Ralf Schönmeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralf Schönmeyer more than expected).
Fields of papers citing papers by Ralf Schönmeyer
This network shows the impact of papers produced by Ralf Schönmeyer. 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 Ralf Schönmeyer. The network helps show where Ralf Schönmeyer may publish in the future.
Co-authors
The 25 scholars most cited alongside Ralf Schönmeyer, 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 | 2007 | 132 | |
| 2 | 2010 | 111 | |
| 3 | 2011 | 91 | |
| 4 | 2009 | 47 | |
| 5 | 2019 | 43 | |
| 6 | 2006 | 26 | |
| 7 | 2016 | 21 | |
| 8 | 2016 | 16 | |
| 9 | 2010 | 12 | |
| 10 | 2008 | 11 | |
| 11 | 2017 | 11 | |
| 12 | 2020 | 7 | |
| 13 | 2003 | 7 | |
| 14 | 2017 | 3 | |
| 15 | 2003 | 3 | |
| 16 | 2016 | 3 |
About Ralf Schönmeyer
Ralf Schönmeyer is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Oncology, having authored 16 papers that have together received 544 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (3 papers), AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Functional Brain Connectivity Studies (3 papers), Advanced Neuroimaging Techniques and Applications (2 papers), Cutaneous Melanoma Detection and Management (2 papers), Neural Networks and Applications (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Cognitive Neuroscience (258 citations), Radiology, Nuclear Medicine and Imaging (270 citations), Psychiatry and Mental health (115 citations), Computational Mathematics (3 citations) and Biological Psychiatry (11 citations). Ralf Schönmeyer has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Corinna Haenschel, Anna Rotarska-Jagiela, David E.J. Linden, Viola Oertel, Kai Vogeley, Christian Knöchel, Peter J. Uhlhaas, Vincent van de Ven, Johannes Pantel and David Prvulovic. Their work appears in journals such as Scientific Reports, NeuroImage, Computers in Biology and Medicine, Biological Psychiatry and PLoS Computational Biology.
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.