Florian Scheidegger
Impact in
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- Parallel Computing and Optimization Techniques
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- Advanced Neural Network Applications
Papers in
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- Advanced Neural Network Applications 3
- Human Pose and Action Recognition 2
- Image Enhancement Techniques 1
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- Anomaly Detection Techniques and Applications 3
- Co-authors
- A. Cristiano I. Malossi (7 shared papers)Costas Bekas (5 shared papers)Roxana Istrate (2 shared papers)Dimitrios S. Nikolopoulos (1 shared paper)Giovanni Mariani (1 shared paper)Luca Benini (5 shared papers)Enrique S. Quintana–Ort́ı (3 shared papers)Michael Schaffner (3 shared papers)
- Journals
- ACM Transactions on Mathematical Software (1 paper)IEEE Transactions on Image Processing (1 paper)Computer Vision and Image Understanding (1 paper)SoftwareX (1 paper)Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (1 paper)
- Partner nations
- SwitzerlandItalyUnited States
In The Last Decade
Florian Scheidegger
11 papers receiving 94 citations
Peers
Comparison fields: 5 of 42
- Hardware and Architecture 14
- Computer Vision and Pattern Recognition 39
- Artificial Intelligence 47
- Industrial and Manufacturing Engineering 8
- Computational Theory and Mathematics 11
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 24 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 | 33 | |
| 2 | 2024 | 16 | |
| 3 | 2019 | 14 | |
| 4 | 2020 | 8 | |
| 5 | 2016 | 7 | |
| 6 | 2017 | 6 | |
| 7 | 2024 | 4 | |
| 8 | 2017 | 4 | |
| 9 | 2019 | 3 | |
| 10 | 2018 | 2 | |
| 11 | 2017 | 2 | |
| 12 | 2020 | 0 |
About Florian Scheidegger
Florian Scheidegger is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Hardware and Architecture and Computational Theory and Mathematics, having authored 12 papers that have together received 99 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (3 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Neural Network Applications (3 papers), Music and Audio Processing (2 papers), Human Pose and Action Recognition (2 papers), Numerical Methods and Algorithms (2 papers), Advanced Memory and Neural Computing (2 papers) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (14 citations), Computer Vision and Pattern Recognition (39 citations), Artificial Intelligence (47 citations), Industrial and Manufacturing Engineering (8 citations) and Computational Theory and Mathematics (11 citations). Florian Scheidegger has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include A. Cristiano I. Malossi, Costas Bekas, Roxana Istrate, Dimitrios S. Nikolopoulos, Giovanni Mariani, Luca Benini, Enrique S. Quintana–Ort́ı, Michael Schaffner, Eli Schwartz and Assaf Arbelle. Their work appears in journals such as ACM Transactions on Mathematical Software, IEEE Transactions on Image Processing, Computer Vision and Image Understanding, SoftwareX and Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna).
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.