Anatol Maier
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Ophthalmology top 2%
- Artificial Intelligence
- Media Technology top 10%
- Co-authors
- Attila BudaiJoachim HorneggerRüdiger BockGeorg MichelsonChristian RießPan Jia-rongSilke ChristiansenAnika Grüneboom
- Topics
- Digital Media Forensic Detection (6 papers)Anomaly Detection Techniques and Applications (4 papers)Generative Adversarial Networks and Image Synthesis (3 papers)
- Cited by
- OphthalmologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- Annals of the Rheumatic DiseasesIEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Information Forensics and Security
- Partner nations
- Germany
In The Last Decade
Anatol Maier
9 papers receiving 436 citations
Hit Papers
Peers
Comparison fields: 5 of 44
- Radiology, Nuclear Medicine and Imaging 395
- Computer Vision and Pattern Recognition 279
- Ophthalmology 271
- Artificial Intelligence 48
- Media Technology 27
Countries citing papers authored by Anatol Maier
This map shows the geographic impact of Anatol Maier'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 Anatol Maier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anatol Maier more than expected).
Fields of papers citing papers by Anatol Maier
This network shows the impact of papers produced by Anatol Maier. 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 Anatol Maier. The network helps show where Anatol Maier may publish in the future.
Co-authorship network of co-authors of Anatol Maier
This figure shows the co-authorship network connecting the top 25 collaborators of Anatol Maier. A scholar is included among the top collaborators of Anatol Maier 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 Anatol Maier. Anatol Maier 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 | 2 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 7 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | Robust Vessel Segmentation in Fundus Imagesbreakdown → | 424 |
About Anatol Maier
Anatol Maier is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Biophysics, having authored 10 papers that have together received 455 indexed citations. Recurring topics across this work include Digital Media Forensic Detection (6 papers), Anomaly Detection Techniques and Applications (4 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Ophthalmology (271 citations), Radiology, Nuclear Medicine and Imaging (395 citations) and Computer Vision and Pattern Recognition (279 citations). Anatol Maier has collaborated with scholars based in Germany. Frequent co-authors include Attila Budai, Joachim Hornegger, Rüdiger Bock, Georg Michelson, Christian Rieß, Pan Jia-rong, Silke Christiansen, Anika Grüneboom, George Sarau and Georg Schett. Their work appears in journals such as Annals of the Rheumatic Diseases, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Information Forensics and Security.
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.