Matthias Reimold
- Radiology, Nuclear Medicine and Imaging top 1%
- Cellular and Molecular Neuroscience top 2%
- Neurology top 2%
- Physiology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Roland BaresGerald ReischlChristina PfannenbergAndreas HeinzFrank PaulsenClaus D. ClaussenHelmut DittmannDaniela Berg
- Topics
- Medical Imaging Techniques and Applications (28 papers)Radiomics and Machine Learning in Medical Imaging (15 papers)Parkinson's Disease Mechanisms and Treatments (11 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Matthias Reimold
76 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 127
- Radiology, Nuclear Medicine and Imaging 1.3k
- Cellular and Molecular Neuroscience 780
- Neurology 718
- Physiology 653
- Pulmonary and Respiratory Medicine 512
Countries citing papers authored by Matthias Reimold
This map shows the geographic impact of Matthias Reimold'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 Matthias Reimold with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Reimold more than expected).
Fields of papers citing papers by Matthias Reimold
This network shows the impact of papers produced by Matthias Reimold. 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 Matthias Reimold. The network helps show where Matthias Reimold may publish in the future.
Co-authorship network of co-authors of Matthias Reimold
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Reimold. A scholar is included among the top collaborators of Matthias Reimold based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthias Reimold. Matthias Reimold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 30 | |
| 4 | 7 | |
| 5 | 25 | |
| 6 | 35 | |
| 7 | 1 | |
| 8 | 48 | |
| 9 | 26 | |
| 10 | 35 | |
| 11 | 90 | |
| 12 | 18 | |
| 13 | 39 | |
| 14 | 44 | |
| 15 | [11C]Vinblastine syntheses and preliminary imaging in cancer patients. | 2 |
| 16 | 103 | |
| 17 | 64 | |
| 18 | 30 | |
| 19 | 5 | |
| 20 | 8 |
About Matthias Reimold
Matthias Reimold is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cellular and Molecular Neuroscience, having authored 79 papers that have together received 3.8k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (28 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Parkinson's Disease Mechanisms and Treatments (11 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Neurology (718 citations) and Cellular and Molecular Neuroscience (780 citations). Matthias Reimold has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Roland Bares, Gerald Reischl, Christina Pfannenberg, Andreas Heinz, Frank Paulsen, Claus D. Claussen, Helmut Dittmann, Daniela Berg, S. M. Eschmann and Karl Mann. Their work appears in journals such as NeuroImage, Brain and The Journal of Clinical Endocrinology & Metabolism.
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.