Christian Münzenmayer
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Oncology
- Biophysics top 5%
- Co-authors
- Thomas WittenbergTorsten HaferlachChristian MatekCarsten MarrVeit WiesmannRalf PalmisanoDaniela FranzChristian Held
- Topics
- AI in cancer detection (9 papers)Advanced Image and Video Retrieval Techniques (7 papers)Colorectal Cancer Screening and Detection (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaBloodCHEST Journal
- Partner nations
- GermanyUnited StatesChile
In The Last Decade
Christian Münzenmayer
35 papers receiving 472 citations
Peers
Comparison fields: 5 of 89
- Computer Vision and Pattern Recognition 180
- Artificial Intelligence 160
- Radiology, Nuclear Medicine and Imaging 109
- Oncology 85
- Biophysics 83
Countries citing papers authored by Christian Münzenmayer
This map shows the geographic impact of Christian Münzenmayer'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 Christian Münzenmayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Münzenmayer more than expected).
Fields of papers citing papers by Christian Münzenmayer
This network shows the impact of papers produced by Christian Münzenmayer. 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 Christian Münzenmayer. The network helps show where Christian Münzenmayer may publish in the future.
Co-authorship network of co-authors of Christian Münzenmayer
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Münzenmayer. A scholar is included among the top collaborators of Christian Münzenmayer 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 Christian Münzenmayer. Christian Münzenmayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 94 | |
| 2 | 23 | |
| 3 | 13 | |
| 4 | Unterscheidung von Polypen und Hintergrundgewebe in statischen Koloskopieaufnahmen. | 2 |
| 5 | 9 | |
| 6 | Real-time panorama imaging of sphenoid sinuses from monocular endoscopic views: an update based on clinical experiments. | 2 |
| 7 | 83 | |
| 8 | Image stitching of sphenoid sinuses from monocular endoscopic views. | 2 |
| 9 | 11 | |
| 10 | 59 | |
| 11 | 14 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 17 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 46 | |
| 18 | 2 | |
| 19 | Farbkalibrierung mittels linearer Transformation. | 0 |
| 20 | 7 |
About Christian Münzenmayer
Christian Münzenmayer is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Otorhinolaryngology, having authored 38 papers that have together received 482 indexed citations. Recurring topics across this work include AI in cancer detection (9 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Colorectal Cancer Screening and Detection (5 papers). The work is most often cited by research in Biophysics (83 citations), Computer Vision and Pattern Recognition (180 citations) and Health Informatics (10 citations). Christian Münzenmayer has collaborated with scholars based in Germany, United States and Chile. Frequent co-authors include Thomas Wittenberg, Torsten Haferlach, Christian Matek, Carsten Marr, Veit Wiesmann, Ralf Palmisano, Daniela Franz, Christian Held, Matthias Elter and Christian Winter. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and CHEST Journal.
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.