René Grzeszick
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Signal Processing top 10%
- Co-authors
- Gernot A. FinkMichael ten HompelFernando Moya RuedaAxel PlingeJan M. KöhlerMichael HirschSzilárd VajdaThorsten Wilhelm
- Topics
- Advanced Image and Video Retrieval Techniques (6 papers)Image Retrieval and Classification Techniques (4 papers)Context-Aware Activity Recognition Systems (4 papers)
- Journals
- Pattern RecognitionIEEE/ACM Transactions on Audio Speech and Language ProcessingInternational Journal of Pattern Recognition and Artificial Intelligence
- Partner nations
- GermanyPhilippinesUnited States
In The Last Decade
René Grzeszick
17 papers receiving 413 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 279
- Artificial Intelligence 131
- Radiology, Nuclear Medicine and Imaging 92
- Biomedical Engineering 91
- Signal Processing 81
Countries citing papers authored by René Grzeszick
This map shows the geographic impact of René Grzeszick'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 René Grzeszick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites René Grzeszick more than expected).
Fields of papers citing papers by René Grzeszick
This network shows the impact of papers produced by René Grzeszick. 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 René Grzeszick. The network helps show where René Grzeszick may publish in the future.
Co-authorship network of co-authors of René Grzeszick
This figure shows the co-authorship network connecting the top 25 collaborators of René Grzeszick. A scholar is included among the top collaborators of René Grzeszick 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 René Grzeszick. René Grzeszick 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 | 5 | |
| 3 | 1 | |
| 4 | 128 | |
| 5 | 100 | |
| 6 | 22 | |
| 7 | 62 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 50 | |
| 14 | 6 | |
| 15 | 30 | |
| 16 | 1 | |
| 17 | 8 |
About René Grzeszick
René Grzeszick is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Health Information Management, having authored 17 papers that have together received 429 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Image Retrieval and Classification Techniques (4 papers) and Context-Aware Activity Recognition Systems (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (279 citations), Signal Processing (81 citations) and Ophthalmology (65 citations). René Grzeszick has collaborated with scholars based in Germany, Philippines and United States. Frequent co-authors include Gernot A. Fink, Michael ten Hompel, Fernando Moya Rueda, Axel Plinge, Jan M. Köhler, Michael Hirsch, Szilárd Vajda, Thorsten Wilhelm and Christian Wöhler. Their work appears in journals such as Pattern Recognition, IEEE/ACM Transactions on Audio Speech and Language Processing and International Journal of Pattern Recognition and Artificial Intelligence.
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.