Anke Meyer‐Baese
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Artificial Intelligence top 2%
- AI in cancer detection
- Neural Networks and Applications
Papers in
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- Neural Networks and Applications 33
- AI in cancer detection 26
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- MRI in cancer diagnosis 27
- Radiomics and Machine Learning in Medical Imaging 26
- Advanced MRI Techniques and Applications 20
- Co-authors
- Amirhessam Tahmassebi (28 shared papers)Axel Wismüller (19 shared papers)Simon Y. Foo (15 shared papers)Amir H. Gandomi (15 shared papers)Henning Scheich (2 shared papers)Frank W. Ohl (1 shared paper)Volker Schmid (11 shared papers)Sergei S. Pilyugin (3 shared papers)
- Journals
- Engineering Applications of Artificial Intelligence (6 papers)International Journal of Neural Systems (4 papers)RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren (3 papers)Cancers (3 papers)Mathematical Methods in the Applied Sciences (3 papers)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Anke Meyer‐Baese
180 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 157
- Radiology, Nuclear Medicine and Imaging 630
- Artificial Intelligence 734
- Cognitive Neuroscience 390
- Health Informatics 27
- Neurology 119
Countries citing papers authored by Anke Meyer‐Baese
This map shows the geographic impact of Anke Meyer‐Baese'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 Anke Meyer‐Baese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anke Meyer‐Baese more than expected).
Fields of papers citing papers by Anke Meyer‐Baese
This network shows the impact of papers produced by Anke Meyer‐Baese. 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 Anke Meyer‐Baese. The network helps show where Anke Meyer‐Baese may publish in the future.
Co-authors
The 25 scholars most cited alongside Anke Meyer‐Baese, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 195 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 217 | |
| 2 | 1996 | 152 | |
| 3 | 2003 | 102 | |
| 4 | 2016 | 76 | |
| 5 | 2019 | 73 | |
| 6 | 2002 | 70 | |
| 7 | 2004 | 55 | |
| 8 | Pattern Recognition in Medical Imaging | 2003 | 51 |
| 9 | 2019 | 50 | |
| 10 | 2004 | 47 | |
| 11 | 2004 | 47 | |
| 12 | 2004 | 47 | |
| 13 | 2005 | 46 | |
| 14 | 2007 | 43 | |
| 15 | 2003 | 41 | |
| 16 | 2004 | 40 | |
| 17 | 2022 | 39 | |
| 18 | 2014 | 38 | |
| 19 | 2010 | 34 | |
| 20 | Biomedical Signal Analysis: Contemporary Methods and Applications | 2010 | 34 |
About Anke Meyer‐Baese
Anke Meyer‐Baese is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Signal Processing, having authored 195 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neural Networks and Applications (33 papers), MRI in cancer diagnosis (27 papers), AI in cancer detection (26 papers), Radiomics and Machine Learning in Medical Imaging (26 papers), Blind Source Separation Techniques (23 papers), Functional Brain Connectivity Studies (23 papers), Advanced MRI Techniques and Applications (20 papers) and Neural dynamics and brain function (20 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (630 citations), Artificial Intelligence (734 citations), Cognitive Neuroscience (390 citations), Health Informatics (27 citations) and Neurology (119 citations). Anke Meyer‐Baese has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Amirhessam Tahmassebi, Axel Wismüller, Simon Y. Foo, Amir H. Gandomi, Henning Scheich, Frank W. Ohl, Volker Schmid, Sergei S. Pilyugin, O. Lange and Katja Pinker. Their work appears in journals such as Engineering Applications of Artificial Intelligence, International Journal of Neural Systems, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Cancers and Mathematical Methods in the Applied Sciences.
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.