Timo Kohlberger
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Computational Mechanics top 10%
- Co-authors
- Christoph SchnörrDaniel CremersMartin C. StumpeJason HippYun LiuJoachim WeickertAndrés BruhnPaul Ruhnau
- Topics
- Medical Image Segmentation Techniques (10 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)Advanced Vision and Imaging (6 papers)
- Cited by
- Health InformaticsComputer Vision and Pattern RecognitionRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Timo Kohlberger
21 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 620
- Radiology, Nuclear Medicine and Imaging 395
- Artificial Intelligence 364
- Biomedical Engineering 131
- Computational Mechanics 104
Countries citing papers authored by Timo Kohlberger
This map shows the geographic impact of Timo Kohlberger'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 Timo Kohlberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timo Kohlberger more than expected).
Fields of papers citing papers by Timo Kohlberger
This network shows the impact of papers produced by Timo Kohlberger. 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 Timo Kohlberger. The network helps show where Timo Kohlberger may publish in the future.
Co-authorship network of co-authors of Timo Kohlberger
This figure shows the co-authorship network connecting the top 25 collaborators of Timo Kohlberger. A scholar is included among the top collaborators of Timo Kohlberger 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 Timo Kohlberger. Timo Kohlberger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 186 | |
| 2 | 61 | |
| 3 | 246 | |
| 4 | 10 | |
| 5 | 25 | |
| 6 | 48 | |
| 7 | 2 | |
| 8 | 33 | |
| 9 | 5 | |
| 10 | 40 | |
| 11 | 15 | |
| 12 | 5 | |
| 13 | 28 | |
| 14 | 90 | |
| 15 | 13 | |
| 16 | 96 | |
| 17 | 118 | |
| 18 | 7 | |
| 19 | 145 | |
| 20 | 4 |
About Timo Kohlberger
Timo Kohlberger is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Biophysics, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Health Informatics (100 citations), Computer Vision and Pattern Recognition (620 citations) and Radiology, Nuclear Medicine and Imaging (395 citations). Timo Kohlberger has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Christoph Schnörr, Daniel Cremers, Martin C. Stumpe, Jason Hipp, Yun Liu, Joachim Weickert, Andrés Bruhn, Paul Ruhnau, Holger Nobach and Mohammad Norouzi. Their work appears in journals such as Nature Medicine, IEEE Transactions on Image Processing and Pattern Recognition.
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.