Nikolaus Demmel
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Geology top 5%
- Electrical and Electronic Engineering
- Ocean Engineering
- Co-authors
- Daniel CremersRui WangXiang GaoLorenz MösenlechnerMichael BeetzDavid SchubertVladyslav UsenkoFlorian Bernard
- Topics
- Robotics and Sensor-Based Localization (6 papers)Advanced Vision and Imaging (4 papers)3D Surveying and Cultural Heritage (2 papers)
- Journals
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)2021 IEEE/CVF International Conference on Computer Vision (ICCV)2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- Partner nations
- GermanySwitzerland
In The Last Decade
Nikolaus Demmel
7 papers receiving 246 citations
Peers
Comparison fields: 5 of 25
- Aerospace Engineering 238
- Computer Vision and Pattern Recognition 206
- Geology 65
- Electrical and Electronic Engineering 47
- Ocean Engineering 18
Countries citing papers authored by Nikolaus Demmel
This map shows the geographic impact of Nikolaus Demmel'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 Nikolaus Demmel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikolaus Demmel more than expected).
Fields of papers citing papers by Nikolaus Demmel
This network shows the impact of papers produced by Nikolaus Demmel. 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 Nikolaus Demmel. The network helps show where Nikolaus Demmel may publish in the future.
Co-authorship network of co-authors of Nikolaus Demmel
This figure shows the co-authorship network connecting the top 25 collaborators of Nikolaus Demmel. A scholar is included among the top collaborators of Nikolaus Demmel 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 Nikolaus Demmel. Nikolaus Demmel 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 | 8 | |
| 3 | 14 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 210 | |
| 7 | 12 |
About Nikolaus Demmel
Nikolaus Demmel is a scholar working on Geology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 7 papers that have together received 258 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (6 papers), Advanced Vision and Imaging (4 papers) and 3D Surveying and Cultural Heritage (2 papers). The work is most often cited by research in Geology (65 citations), Computer Vision and Pattern Recognition (206 citations) and Aerospace Engineering (238 citations). Nikolaus Demmel has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Daniel Cremers, Rui Wang, Xiang Gao, Lorenz Mösenlechner, Michael Beetz, David Schubert, Vladyslav Usenko, Florian Bernard, Wolfgang Stürzl and Marcus Müller. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
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.