Martin Lambers
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 5%
- Geology top 5%
- Computer Graphics and Computer-Aided Design top 5%
- Instrumentation top 10%
- Co-authors
- Andreas KolbMaik KellerDamien LeflochShahram IzadiTim WeyrichMarvin LindnerHolger NiesXiaoyi Jiang
- Topics
- Advanced Vision and Imaging (12 papers)Computer Graphics and Visualization Techniques (11 papers)Advanced Optical Sensing Technologies (5 papers)
In The Last Decade
Martin Lambers
26 papers receiving 388 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 299
- Aerospace Engineering 223
- Geology 104
- Computer Graphics and Computer-Aided Design 54
- Instrumentation 43
Countries citing papers authored by Martin Lambers
This map shows the geographic impact of Martin Lambers'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 Martin Lambers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Lambers more than expected).
Fields of papers citing papers by Martin Lambers
This network shows the impact of papers produced by Martin Lambers. 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 Martin Lambers. The network helps show where Martin Lambers may publish in the future.
Co-authorship network of co-authors of Martin Lambers
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Lambers. A scholar is included among the top collaborators of Martin Lambers 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 Martin Lambers. Martin Lambers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Distortion Optimized Spherical Cube Mapping for Discrete Global Grid Systems | 3 |
| 3 | 1 | |
| 4 | 19 | |
| 5 | COMPARISON OF SPHERICAL CUBE MAP PROJECTIONS USED IN PLANET-SIZED TERRAIN RENDERING | 13 |
| 6 | 9 | |
| 7 | 9 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | Adaptive Dynamic Range Reduction for SAR Images | 4 |
| 14 | 4 | |
| 15 | 31 | |
| 16 | 12 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 6 | |
| 20 | 2 |
About Martin Lambers
Martin Lambers is a scholar working on Computer Graphics and Computer-Aided Design, Instrumentation and Computer Vision and Pattern Recognition, having authored 26 papers that have together received 402 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (12 papers), Computer Graphics and Visualization Techniques (11 papers) and Advanced Optical Sensing Technologies (5 papers). The work is most often cited by research in Geology (104 citations), Computer Graphics and Computer-Aided Design (54 citations) and Computer Vision and Pattern Recognition (299 citations). Martin Lambers has collaborated with scholars based in Germany, Serbia and Belgium. Frequent co-authors include Andreas Kolb, Maik Keller, Damien Lefloch, Shahram Izadi, Tim Weyrich, Marvin Lindner, Holger Nies, Xiaoyi Jiang, Peter Strobl and Axel Cleeremans. Their work appears in journals such as Sensors, Pattern Recognition Letters and IEEE Sensors Journal.
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.