Reiner Lenz
- Computer Vision and Pattern Recognition top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Media Technology top 2%
- Biomedical Engineering
- Cognitive Neuroscience top 10%
- Co-authors
- Peter MeerP.-E. DanielssonAnders LiljeborgN. ÅslundKjell CarlssonLars MajlofTimo JääskeläinenJussi Parkkinen
- Topics
- Color Science and Applications (41 papers)Image Retrieval and Classification Techniques (26 papers)Visual perception and processing mechanisms (15 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Image Processing
- Partner nations
- SwedenJapanSouth Africa
In The Last Decade
Reiner Lenz
93 papers receiving 930 citations
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 537
- Atomic and Molecular Physics, and Optics 295
- Media Technology 186
- Biomedical Engineering 122
- Cognitive Neuroscience 114
Countries citing papers authored by Reiner Lenz
This map shows the geographic impact of Reiner Lenz'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 Reiner Lenz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reiner Lenz more than expected).
Fields of papers citing papers by Reiner Lenz
This network shows the impact of papers produced by Reiner Lenz. 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 Reiner Lenz. The network helps show where Reiner Lenz may publish in the future.
Co-authorship network of co-authors of Reiner Lenz
This figure shows the co-authorship network connecting the top 25 collaborators of Reiner Lenz. A scholar is included among the top collaborators of Reiner Lenz 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 Reiner Lenz. Reiner Lenz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 5 | |
| 3 | RGB Filter design using the properties of the weibull manifold | 1 |
| 4 | 29 | |
| 5 | 10 | |
| 6 | Color Semantics for Image Indexing | 19 |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 10 | |
| 11 | 14 | |
| 12 | 6 | |
| 13 | 0 | |
| 14 | 4 | |
| 15 | 0 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | Unsupervised Parallel Feature Extraction from First Principles | 2 |
| 19 | 43 | |
| 20 | 2 |
About Reiner Lenz
Reiner Lenz is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 104 papers that have together received 1.0k indexed citations. Recurring topics across this work include Color Science and Applications (41 papers), Image Retrieval and Classification Techniques (26 papers) and Visual perception and processing mechanisms (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (537 citations), Media Technology (186 citations) and Computer Graphics and Computer-Aided Design (68 citations). Reiner Lenz has collaborated with scholars based in Sweden, Japan and South Africa. Frequent co-authors include Peter Meer, P.-E. Danielsson, Anders Liljeborg, N. Åslund, Kjell Carlsson, Lars Majlof, Timo Jääskeläinen, Jussi Parkkinen, Markku Hauta‐Kasari and Per‐Erik Danielsson. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.
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.