Philipp Lindenberger
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 5%
- Geology top 10%
- Artificial Intelligence
- Media Technology top 10%
- Co-authors
- Paul-Edouard SarlinMarc PollefeysViktor LarssonMaciej BestaOnur MutluTorsten HoeflerGrzegorz KwaśniewskiLukas Gianinazzi
- Topics
- Advanced Vision and Imaging (3 papers)Advanced Image and Video Retrieval Techniques (1 paper)Complexity and Algorithms in Graphs (1 paper)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceProceedings of the VLDB Endowment2021 IEEE/CVF International Conference on Computer Vision (ICCV)
- Partner nations
- SwitzerlandSwedenPoland
In The Last Decade
Philipp Lindenberger
4 papers receiving 377 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 291
- Aerospace Engineering 205
- Geology 58
- Artificial Intelligence 34
- Media Technology 26
Countries citing papers authored by Philipp Lindenberger
This map shows the geographic impact of Philipp Lindenberger'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 Philipp Lindenberger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Lindenberger more than expected).
Fields of papers citing papers by Philipp Lindenberger
This network shows the impact of papers produced by Philipp Lindenberger. 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 Philipp Lindenberger. The network helps show where Philipp Lindenberger may publish in the future.
Co-authorship network of co-authors of Philipp Lindenberger
This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Lindenberger. A scholar is included among the top collaborators of Philipp Lindenberger 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 Philipp Lindenberger. Philipp Lindenberger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | LightGlue: Local Feature Matching at Light Speedbreakdown → | 281 |
| 3 | 86 | |
| 4 | 7 |
About Philipp Lindenberger
Philipp Lindenberger is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computational Theory and Mathematics, having authored 4 papers that have together received 386 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Complexity and Algorithms in Graphs (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (291 citations), Geology (58 citations) and Aerospace Engineering (205 citations). Philipp Lindenberger has collaborated with scholars based in Switzerland, Sweden and Poland. Frequent co-authors include Paul-Edouard Sarlin, Marc Pollefeys, Viktor Larsson, Maciej Besta, Onur Mutlu, Torsten Hoefler, Grzegorz Kwaśniewski and Lukas Gianinazzi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the VLDB Endowment and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.