Cristian Lorenz
- Biomedical Engineering top 5%
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery top 10%
- Oral Surgery top 5%
- Co-authors
- Jens von BergTobias KlinderJörn ÖstermannAstrid FranzReinhard KneserSteffen RenischJürgen WeeseJosien P. W. Pluim
- Topics
- Medical Imaging and Analysis (26 papers)Medical Image Segmentation Techniques (23 papers)Image and Object Detection Techniques (12 papers)
- Journals
- IEEE Transactions on Biomedical EngineeringIEEE Transactions on Medical ImagingPhysics in Medicine and Biology
- Partner nations
- GermanyFinlandUnited States
In The Last Decade
Cristian Lorenz
62 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 94
- Biomedical Engineering 656
- Computer Vision and Pattern Recognition 472
- Radiology, Nuclear Medicine and Imaging 421
- Surgery 304
- Oral Surgery 186
Countries citing papers authored by Cristian Lorenz
This map shows the geographic impact of Cristian Lorenz'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 Cristian Lorenz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristian Lorenz more than expected).
Fields of papers citing papers by Cristian Lorenz
This network shows the impact of papers produced by Cristian Lorenz. 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 Cristian Lorenz. The network helps show where Cristian Lorenz may publish in the future.
Co-authorship network of co-authors of Cristian Lorenz
This figure shows the co-authorship network connecting the top 25 collaborators of Cristian Lorenz. A scholar is included among the top collaborators of Cristian Lorenz 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 Cristian Lorenz. Cristian Lorenz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 13 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 35 | |
| 7 | 90 | |
| 8 | 0 | |
| 9 | 30 | |
| 10 | 10 | |
| 11 | 86 | |
| 12 | Fully Automatic Model Creation for Object Localization utilizing the Generalized Hough Transform. | 6 |
| 13 | Lokalisierung der Leber mittels einer Diskriminativen Generalisierten Hough Transformation | 1 |
| 14 | 15 | |
| 15 | 229 | |
| 16 | 45 | |
| 17 | 36 | |
| 18 | 33 | |
| 19 | 87 | |
| 20 | 41 |
About Cristian Lorenz
Cristian Lorenz is a scholar working on Computer Vision and Pattern Recognition, Oral Surgery and Radiology, Nuclear Medicine and Imaging, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Medical Imaging and Analysis (26 papers), Medical Image Segmentation Techniques (23 papers) and Image and Object Detection Techniques (12 papers). The work is most often cited by research in Health Informatics (35 citations), Oral Surgery (186 citations) and Computer Vision and Pattern Recognition (472 citations). Cristian Lorenz has collaborated with scholars based in Germany, Finland and United States. Frequent co-authors include Jens von Berg, Tobias Klinder, Jörn Östermann, Astrid Franz, Reinhard Kneser, Steffen Renisch, Jürgen Weese, Josien P. W. Pluim, Anke Neumann and Thomas Baum. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.
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.