Gabriele Peters
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering
- Epidemiology
- Surgery
- Geology top 10%
- Co-authors
- Pietro PeronaLihi Zelnik‐ManorBarbara ZitováH. TscherneUlrich BoschMichael SkutekJan FlusserJaroslav Kautský
- Topics
- Advanced Image and Video Retrieval Techniques (14 papers)Advanced Vision and Imaging (12 papers)Robotics and Sensor-Based Localization (10 papers)
- Partner nations
- GermanyCzechiaNetherlands
In The Last Decade
Gabriele Peters
36 papers receiving 314 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 246
- Aerospace Engineering 68
- Epidemiology 44
- Surgery 44
- Geology 36
Countries citing papers authored by Gabriele Peters
This map shows the geographic impact of Gabriele Peters'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 Gabriele Peters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriele Peters more than expected).
Fields of papers citing papers by Gabriele Peters
This network shows the impact of papers produced by Gabriele Peters. 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 Gabriele Peters. The network helps show where Gabriele Peters may publish in the future.
Co-authorship network of co-authors of Gabriele Peters
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriele Peters. A scholar is included among the top collaborators of Gabriele Peters 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 Gabriele Peters. Gabriele Peters 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 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | Supporting GNG-based clustering with local input space histograms. | 2 |
| 7 | 3 | |
| 8 | 1 | |
| 9 | The structure-from-motion reconstruction pipeline – a survey with focus on short image sequences | 40 |
| 10 | Fast Freehand Acquisition of 3D Objects and Their Visualization | 1 |
| 11 | 2 | |
| 12 | 4 | |
| 13 | Adaptive Object Acquisition. | 0 |
| 14 | 8 | |
| 15 | Learning sparse representations of three-dimensional objects. | 1 |
| 16 | 8 | |
| 17 | 2 | |
| 18 | Feature point Detection in Blurred Images. | 4 |
| 19 | 42 | |
| 20 | Object Recognition with Banana Wavelets. | 11 |
About Gabriele Peters
Gabriele Peters is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Geology, having authored 47 papers that have together received 351 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (14 papers), Advanced Vision and Imaging (12 papers) and Robotics and Sensor-Based Localization (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (246 citations), Computer Graphics and Computer-Aided Design (28 citations) and Geology (36 citations). Gabriele Peters has collaborated with scholars based in Germany, Czechia and Netherlands. Frequent co-authors include Pietro Perona, Lihi Zelnik‐Manor, Barbara Zitová, H. Tscherne, Ulrich Bosch, Michael Skutek, Jan Flusser, Jaroslav Kautský, Norbert Krüger and C. von der Malsburg. Their work appears in journals such as Journal of Materials Science, Neurocomputing and Pattern Recognition Letters.
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.