Gerald Schweighofer
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 5%
- Geology top 10%
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Co-authors
- Axel PinzHorst BischofMatthias RütherSiniša ŠegvićAndreas OpeltWalter G. KropatschYll HaxhimusaAdrian Ion
- Topics
- Robotics and Sensor-Based Localization (9 papers)Advanced Vision and Imaging (8 papers)3D Surveying and Cultural Heritage (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceELCVIA Electronic Letters on Computer Vision and Image Analysis
- Partner nations
- Austria
In The Last Decade
Gerald Schweighofer
11 papers receiving 407 citations
Peers
Comparison fields: 5 of 41
- Computer Vision and Pattern Recognition 357
- Aerospace Engineering 332
- Geology 57
- Control and Systems Engineering 31
- Electrical and Electronic Engineering 24
Countries citing papers authored by Gerald Schweighofer
This map shows the geographic impact of Gerald Schweighofer'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 Gerald Schweighofer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerald Schweighofer more than expected).
Fields of papers citing papers by Gerald Schweighofer
This network shows the impact of papers produced by Gerald Schweighofer. 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 Gerald Schweighofer. The network helps show where Gerald Schweighofer may publish in the future.
Co-authorship network of co-authors of Gerald Schweighofer
This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Schweighofer. A scholar is included among the top collaborators of Gerald Schweighofer 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 Gerald Schweighofer. Gerald Schweighofer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 12 | |
| 3 | 5 | |
| 4 | 94 | |
| 5 | 9 | |
| 6 | 10 | |
| 7 | Performance evaluation of the five-point relative pose with emphasis on planar scenes | 4 |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 254 | |
| 11 | Sparse 3D Reconstruction of a Room | 1 |
| 12 | Improved Object Categorization by Unsupervised Object Localization | 3 |
About Gerald Schweighofer
Gerald Schweighofer is a scholar working on Geology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 12 papers that have together received 426 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (9 papers), Advanced Vision and Imaging (8 papers) and 3D Surveying and Cultural Heritage (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (357 citations), Aerospace Engineering (332 citations) and Geology (57 citations). Gerald Schweighofer has collaborated with scholars based in Austria. Frequent co-authors include Axel Pinz, Horst Bischof, Matthias Rüther, Siniša Šegvić, Andreas Opelt, Walter G. Kropatsch, Yll Haxhimusa, Adrian Ion and Miguel Ribo. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and ELCVIA Electronic Letters on Computer Vision and Image Analysis.
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.