Burkhard Mädler
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- Advanced Neuroimaging Techniques and Applications 38
- Advanced MRI Techniques and Applications 32
- MRI in cancer diagnosis 9
- Neurology top 0.5%
- Neurological disorders and treatments 12
- Parkinson's Disease Mechanisms and Treatments 6
- Neurology top 2%
- Neurological disorders and treatments 12
- Parkinson's Disease Mechanisms and Treatments 6
- Cognitive Neuroscience top 2%
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- Genetic Neurodegenerative Diseases 5
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- Multiple Sclerosis Research Studies 6
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- Advanced NMR Techniques and Applications 5
- Co-authors
- Volker A. CoenenAlex L. MacKayShannon KolindIrene M. VavasourNiels AllertHorst UrbachCornelia LauleThomas E. Schläepfer
- Journals
- Magnetic Resonance Imaging (5 papers)NeuroImage (4 papers)Journal of Magnetic Resonance Imaging (4 papers)
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Burkhard Mädler
71 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 138
- Radiology, Nuclear Medicine and Imaging 2.4k
- Neurology 1.4k
- Neurology 397
- Cognitive Neuroscience 806
- Cellular and Molecular Neuroscience 625
Countries citing papers authored by Burkhard Mädler
This map shows the geographic impact of Burkhard Mädler'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 Burkhard Mädler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Burkhard Mädler more than expected).
Fields of papers citing papers by Burkhard Mädler
This network shows the impact of papers produced by Burkhard Mädler. 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 Burkhard Mädler. The network helps show where Burkhard Mädler may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Burkhard Mädler, 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 | 4 | |
| 2 | 2018 | 13 | |
| 3 | 2018 | 65 | |
| 4 | 2015 | 17 | |
| 5 | 2014 | 27 | |
| 6 | 2014 | 33 | |
| 7 | 2013 | 388 | |
| 8 | 2012 | 47 | |
| 9 | 2012 | 207 | |
| 10 | 2011 | 164 | |
| 11 | 2011 | 69 | |
| 12 | 2011 | 207 | |
| 13 | 2009 | 60 | |
| 14 | 2009 | 60 | |
| 15 | 2008 | 64 | |
| 16 | 2007 | 60 | |
| 17 | 2007 | 55 | |
| 18 | 2007 | 38 | |
| 19 | 1998 | 41 | |
| 20 | 1995 | 42 |
About Burkhard Mädler
Burkhard Mädler is a scholar working on Computational Mathematics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 72 papers that have together received 4.5k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (38 papers), Advanced MRI Techniques and Applications (32 papers), Neurological disorders and treatments (12 papers), MRI in cancer diagnosis (9 papers), Multiple Sclerosis Research Studies (6 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Genetic Neurodegenerative Diseases (5 papers) and Advanced NMR Techniques and Applications (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.4k citations), Neurology (1.4k citations) and Neurology (397 citations). Burkhard Mädler has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Volker A. Coenen, Alex L. MacKay, Shannon Kolind, Irene M. Vavasour, Niels Allert, Horst Urbach, Cornelia Laule, Thomas E. Schläepfer, Bettina H. Bewernick and Sarah Kayser. Their work appears in journals such as Magnetic Resonance Imaging, NeuroImage, Journal of Magnetic Resonance Imaging, Magnetic Resonance in Medicine and Neurosurgery.
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.