Florian Scheidegger
Impact in
-
- Parallel Computing and Optimization Techniques
-
- Advanced Neural Network Applications
Papers in
-
- Advanced Neural Network Applications 3
- Advanced Image and Video Retrieval Techniques 2
- Advanced Vision and Imaging 2
-
- Parallel Computing and Optimization Techniques 3
- Co-authors
- A. Cristiano I. Malossi (6 shared papers)Costas Bekas (4 shared papers)Giovanni Mariani (2 shared papers)Dimitrios S. Nikolopoulos (1 shared paper)Roxana Istrate (3 shared papers)Enrique S. Quintana–Ort́ı (4 shared papers)Leonid Karlinsky (1 shared paper)Luca Benini (5 shared papers)
- Journals
- IEEE Transactions on Image Processing (1 paper)Computer Vision and Image Understanding (1 paper)The Visual Computer (1 paper)ACM Transactions on Mathematical Software (1 paper)Repository KITopen (Karlsruhe Institute of Technology) (1 paper)
- Partner nations
- SwitzerlandItalySpain
In The Last Decade
Florian Scheidegger
11 papers receiving 117 citations
Peers
Comparison fields: 5 of 43
- Hardware and Architecture 17
- Computer Vision and Pattern Recognition 46
- Artificial Intelligence 66
- Computational Theory and Mathematics 13
- Industrial and Manufacturing Engineering 7
Countries citing papers authored by Florian Scheidegger
This map shows the geographic impact of Florian Scheidegger'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 Florian Scheidegger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian Scheidegger more than expected).
Fields of papers citing papers by Florian Scheidegger
This network shows the impact of papers produced by Florian Scheidegger. 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 Florian Scheidegger. The network helps show where Florian Scheidegger may publish in the future.
Co-authors
The 25 scholars most cited alongside Florian Scheidegger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 40 | |
| 2 | 2024 | 30 | |
| 3 | 2019 | 19 | |
| 4 | 2016 | 7 | |
| 5 | 2017 | 6 | |
| 6 | 2017 | 5 | |
| 7 | 2024 | 5 | |
| 8 | 2018 | 3 | |
| 9 | 2017 | 3 | |
| 10 | 2020 | 2 | |
| 11 | 2022 | 1 | |
| 12 | 2024 | 0 | |
| 13 | 2020 | 0 |
About Florian Scheidegger
Florian Scheidegger is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture, Artificial Intelligence, Signal Processing and Computational Theory and Mathematics, having authored 13 papers that have together received 121 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (3 papers), Parallel Computing and Optimization Techniques (3 papers), Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Numerical Methods and Algorithms (2 papers), Advanced Vision and Imaging (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Hardware and Architecture (17 citations), Computer Vision and Pattern Recognition (46 citations), Artificial Intelligence (66 citations), Computational Theory and Mathematics (13 citations) and Industrial and Manufacturing Engineering (7 citations). Florian Scheidegger has collaborated with scholars based in Switzerland, Italy and Spain. Frequent co-authors include A. Cristiano I. Malossi, Costas Bekas, Giovanni Mariani, Dimitrios S. Nikolopoulos, Roxana Istrate, Enrique S. Quintana–Ort́ı, Leonid Karlinsky, Luca Benini, Eli Schwartz and Assaf Arbelle. Their work appears in journals such as IEEE Transactions on Image Processing, Computer Vision and Image Understanding, The Visual Computer, ACM Transactions on Mathematical Software and Repository KITopen (Karlsruhe Institute of Technology).
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.