Tim Scherr
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Media Technology top 10%
- Image Processing Techniques and Applications
Papers in
-
- Cell Image Analysis Techniques 9
-
- Image Processing Techniques and Applications 8
- Co-authors
- Ralf Mikut (15 shared papers)Katharina Löffler (4 shared papers)Markus Reischl (11 shared papers)Sven Perner (1 shared paper)Veit Hagenmeyer (1 shared paper)Lars Tharun (1 shared paper)Lester D.�R. Thompson (1 shared paper)Andreas Bartschat (7 shared papers)
- Journals
- PLoS ONE (4 papers)Bioinformatics (1 paper)ChemPhysChem (1 paper)SoftwareX (1 paper)IEEE Access (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Tim Scherr
16 papers receiving 159 citations
Peers
Comparison fields: 5 of 61
- Biophysics 75
- Media Technology 31
- Computer Vision and Pattern Recognition 57
- Health Informatics 3
- Artificial Intelligence 57
Countries citing papers authored by Tim Scherr
This map shows the geographic impact of Tim Scherr'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 Tim Scherr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Scherr more than expected).
Fields of papers citing papers by Tim Scherr
This network shows the impact of papers produced by Tim Scherr. 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 Tim Scherr. The network helps show where Tim Scherr may publish in the future.
Co-authors
The 23 scholars most cited alongside Tim Scherr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2021 | 29 | |
| 3 | 2021 | 16 | |
| 4 | 2022 | 13 | |
| 5 | 2022 | 8 | |
| 6 | 2018 | 8 | |
| 7 | 2018 | 6 | |
| 8 | 2020 | 5 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2024 | 4 | |
| 12 | 2019 | 3 | |
| 13 | 2020 | 3 | |
| 14 | 2019 | 2 | |
| 15 | 2018 | 1 | |
| 16 | 2021 | 1 | |
| 17 | Cell Segmentation and Tracking using Distance Transform Predictions and Movement Estimation with Graph-Based Matching | 2020 | 1 |
About Tim Scherr
Tim Scherr is a scholar working on Biophysics, Media Technology, Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 164 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (9 papers), Image Processing Techniques and Applications (8 papers), AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Optical Coherence Tomography Applications (2 papers), Digital Imaging for Blood Diseases (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Retinal Imaging and Analysis (1 paper). The work is most often cited by research in Biophysics (75 citations), Media Technology (31 citations), Computer Vision and Pattern Recognition (57 citations), Health Informatics (3 citations) and Artificial Intelligence (57 citations). Tim Scherr has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Ralf Mikut, Katharina Löffler, Markus Reischl, Sven Perner, Veit Hagenmeyer, Lars Tharun, Lester D.�R. Thompson, Andreas Bartschat, Johannes Stegmaier and Yong Hu. Their work appears in journals such as PLoS ONE, Bioinformatics, ChemPhysChem, SoftwareX and IEEE Access.
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.