Florian Scheidegger

489 total citations
12 papers, 99 citations indexed

About

Florian Scheidegger is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Florian Scheidegger has authored 12 papers receiving a total of 99 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in Florian Scheidegger's work include Parallel Computing and Optimization Techniques (3 papers), Advanced Neural Network Applications (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Florian Scheidegger is often cited by papers focused on Parallel Computing and Optimization Techniques (3 papers), Advanced Neural Network Applications (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Florian Scheidegger collaborates with scholars based in Switzerland, Italy and Spain. Florian Scheidegger's co-authors include A. Cristiano I. Malossi, Costas Bekas, Roxana Istrate, Dimitrios S. Nikolopoulos, Giovanni Mariani, Luca Benini, Michael Schaffner, Enrique S. Quintana–Ort́ı, Goran Flegar and Leonid Karlinsky and has published in prestigious journals such as IEEE Transactions on Image Processing, Computer Vision and Image Understanding and ACM Transactions on Mathematical Software.

In The Last Decade

Florian Scheidegger

11 papers receiving 94 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Florian Scheidegger Switzerland 6 47 39 16 14 11 12 99
X. Wang China 5 51 1.1× 62 1.6× 5 0.3× 7 0.5× 10 0.9× 25 109
Liam Li 2 65 1.4× 30 0.8× 12 0.8× 2 0.1× 10 0.9× 3 127
Vikash Sehwag United States 5 76 1.6× 33 0.8× 11 0.7× 6 0.4× 2 0.2× 12 109
Peter C. Dillinger United States 5 47 1.0× 24 0.6× 18 1.1× 16 1.1× 23 2.1× 12 104
Jarek Duda Poland 3 40 0.9× 43 1.1× 8 0.5× 8 0.6× 13 1.2× 7 81
Yinchong Yang Germany 5 65 1.4× 40 1.0× 12 0.8× 10 0.7× 6 0.5× 5 142
Michael Walter Germany 7 66 1.4× 63 1.6× 11 0.7× 13 0.9× 5 0.5× 17 123
Carl-Johann Simon-Gabriel Germany 5 61 1.3× 72 1.8× 5 0.3× 4 0.3× 5 0.5× 7 126
Yasuhiro Ohtaki Japan 6 33 0.7× 23 0.6× 9 0.6× 15 1.1× 7 0.6× 18 93
Jiqiang Lu Singapore 6 71 1.5× 67 1.7× 8 0.5× 11 0.8× 3 0.3× 20 92

Countries citing papers authored by Florian Scheidegger

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Florian Scheidegger

This figure shows the co-authorship network connecting the top 25 collaborators of Florian Scheidegger. A scholar is included among the top collaborators of Florian Scheidegger 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 Florian Scheidegger. Florian Scheidegger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Castelló, Adrián, et al.. (2024). QAttn: Efficient GPU Kernels for mixed-precision Vision Transformers. Zenodo (CERN European Organization for Nuclear Research). 3648–3657. 4 indexed citations
2.
Schwartz, Eli, Assaf Arbelle, Leonid Karlinsky, et al.. (2024). MAEDAY: MAE for few- and zero-shot AnomalY-Detection. Computer Vision and Image Understanding. 241. 103958–103958. 16 indexed citations
3.
Hadjidoukas, Panagiotis, et al.. (2020). torcpy: supporting task parallelism in Python. Zenodo (CERN European Organization for Nuclear Research).
4.
Hadjidoukas, Panagiotis, et al.. (2020). torcpy: Supporting task parallelism in Python. SoftwareX. 12. 100517–100517. 8 indexed citations
5.
Scheidegger, Florian, Luca Benini, Costas Bekas, & A. Cristiano I. Malossi. (2019). Constrained deep neural network architecture search for IoT devices accounting hardware calibration. arXiv (Cornell University). 32. 6056–6066. 3 indexed citations
6.
Flegar, Goran, et al.. (2019). FloatX. ACM Transactions on Mathematical Software. 45(4). 1–23. 14 indexed citations
7.
Istrate, Roxana, Florian Scheidegger, Giovanni Mariani, et al.. (2019). TAPAS: Train-Less Accuracy Predictor for Architecture Search. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 3927–3934. 33 indexed citations
8.
Anzt, Hartwig, et al.. (2018). High-Performance GPU Implementation of PageRank with Reduced Precision Based on Mantissa Segmentation. Repository KITopen (Karlsruhe Institute of Technology). 36. 61–68. 2 indexed citations
9.
Scheidegger, Florian, et al.. (2017). Impact of temporal subsampling on accuracy and performance in practical video classification. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 996–1000. 4 indexed citations
10.
Schaffner, Michael, Florian Scheidegger, Lukas Cavigelli, et al.. (2017). Towards Edge-Aware Spatio-Temporal Filtering in Real-Time. IEEE Transactions on Image Processing. 27(1). 265–280. 6 indexed citations
11.
Scheidegger, Florian, Lukas Cavigelli, Michael Schaffner, et al.. (2017). Impact of temporal subsampling on accuracy and performance in practical video classification. Repository for Publications and Research Data (ETH Zurich). 2 indexed citations
12.
Popoff, Youri, Florian Scheidegger, Michael Schaffner, et al.. (2016). High-Efficiency Logarithmic Number Unit Design based on an Improved Cotransformation Scheme. 1387–1392. 7 indexed citations

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.

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