Alexander Neubeck
- Computer Vision and Pattern Recognition top 1%
- Aerospace Engineering top 5%
- Artificial Intelligence top 5%
- Media Technology top 2%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Luc Van GoolAndreas EssHerbert BayAndreas KasslerPeter SchulthessHans UtzGerhard K. KraetzschmarGerd Mayer
- Topics
- Advanced Vision and Imaging (5 papers)Advanced Image and Video Retrieval Techniques (5 papers)Computer Graphics and Visualization Techniques (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Journals
- Signal Processing Image CommunicationVision Modeling and Visualization
- Partner nations
- SwitzerlandGermany
In The Last Decade
Alexander Neubeck
10 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Computer Vision and Pattern Recognition 1.0k
- Aerospace Engineering 266
- Artificial Intelligence 205
- Media Technology 162
- Industrial and Manufacturing Engineering 146
Countries citing papers authored by Alexander Neubeck
This map shows the geographic impact of Alexander Neubeck'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 Alexander Neubeck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Neubeck more than expected).
Fields of papers citing papers by Alexander Neubeck
This network shows the impact of papers produced by Alexander Neubeck. 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 Alexander Neubeck. The network helps show where Alexander Neubeck may publish in the future.
Co-authorship network of co-authors of Alexander Neubeck
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Neubeck. A scholar is included among the top collaborators of Alexander Neubeck 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 Alexander Neubeck. Alexander Neubeck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 13 | |
| 3 | 3 | |
| 4 | Efficient Non-Maximum Suppressionbreakdown → | 1383 |
| 5 | GPU-Based Foreground-Background Segmentation using an Extended Colinearity Criterion | 36 |
| 6 | 3D Texture Reconstruction from Extensive BTF Data | 18 |
| 7 | 4 | |
| 8 | Cut-primed smart copying | 2 |
| 9 | Improving Vision-Based Self-localization | 1 |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 2 |
About Alexander Neubeck
Alexander Neubeck is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 12 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Computer Graphics and Visualization Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Media Technology (162 citations) and Industrial and Manufacturing Engineering (146 citations). Alexander Neubeck has collaborated with scholars based in Switzerland and Germany. Frequent co-authors include Luc Van Gool, Andreas Ess, Herbert Bay, Andreas Kassler, Peter Schulthess, Hans Utz, Gerhard K. Kraetzschmar and Gerd Mayer. Their work appears in journals such as Signal Processing Image Communication and Vision Modeling and Visualization.
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.