Klaus Maier‐Hein
- Radiology, Nuclear Medicine and Imaging top 0.2%
- Pulmonary and Respiratory Medicine top 5%
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 5%
- Artificial Intelligence top 2%
- Co-authors
- Peter NeherBram StieltjesJakob WasserthalMartin BendszusDavid BonekampPhilipp KickingerederFrederik B. LaunMichael Götz
- Topics
- Radiomics and Machine Learning in Medical Imaging (47 papers)Advanced Neuroimaging Techniques and Applications (37 papers)Advanced MRI Techniques and Applications (26 papers)
- Journals
- Advanced MaterialsNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Klaus Maier‐Hein
159 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Radiology, Nuclear Medicine and Imaging 3.9k
- Pulmonary and Respiratory Medicine 832
- Computer Vision and Pattern Recognition 785
- Biomedical Engineering 774
- Artificial Intelligence 748
Countries citing papers authored by Klaus Maier‐Hein
This map shows the geographic impact of Klaus Maier‐Hein'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 Klaus Maier‐Hein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus Maier‐Hein more than expected).
Fields of papers citing papers by Klaus Maier‐Hein
This network shows the impact of papers produced by Klaus Maier‐Hein. 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 Klaus Maier‐Hein. The network helps show where Klaus Maier‐Hein may publish in the future.
Co-authorship network of co-authors of Klaus Maier‐Hein
This figure shows the co-authorship network connecting the top 25 collaborators of Klaus Maier‐Hein. A scholar is included among the top collaborators of Klaus Maier‐Hein 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 Klaus Maier‐Hein. Klaus Maier‐Hein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 10 | |
| 9 | 6 | |
| 10 | 32 | |
| 11 | 7 | |
| 12 | 9 | |
| 13 | 15 | |
| 14 | 9 | |
| 15 | 17 | |
| 16 | Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessmentbreakdown → | 230 |
| 17 | nnU-Net: Breaking the Spell on Successful Medical Image Segmentation. | 84 |
| 18 | 206 | |
| 19 | 13 | |
| 20 | 53 |
About Klaus Maier‐Hein
Klaus Maier‐Hein is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Genetics, having authored 167 papers that have together received 5.9k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (47 papers), Advanced Neuroimaging Techniques and Applications (37 papers) and Advanced MRI Techniques and Applications (26 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.9k citations), Health Informatics (148 citations) and Neurology (581 citations). Klaus Maier‐Hein has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Peter Neher, Bram Stieltjes, Jakob Wasserthal, Martin Bendszus, David Bonekamp, Philipp Kickingereder, Frederik B. Laun, Michael Götz, Fabian Isensee and Dušan Hirjak. Their work appears in journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.
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.