Viktor Fischer

85 papers receiving 1.7k citations

Peers

Viktor Fischer
Comparison fields: 5 of 46
  • Hardware and Architecture 893
  • Computer Vision and Pattern Recognition 981
  • Artificial Intelligence 888
  • Computational Theory and Mathematics 373
  • Signal Processing 141
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Jean‐Luc Danger France
Máire O׳Neill United Kingdom
Akashi Satoh Japan
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Citations per year

Countries citing papers authored by Viktor Fischer

Since Specialization
Citations

This map shows the geographic impact of Viktor Fischer'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 Viktor Fischer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktor Fischer more than expected).

Fields of papers citing papers by Viktor Fischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Viktor Fischer. 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 Viktor Fischer. The network helps show where Viktor Fischer may publish in the future.

Co-authors

The 25 scholars most cited alongside Viktor Fischer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Viktor Fischer Line = papers co-authored together Viktor Fischer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003174
2 2001125
3 2013119
4 201798
5 201295
6 201393
7 201255
8 200854
9 201353
10 201051
11 200848
12 201343
13 200438
14 201735
15 201434
16 200930
17 200530
18 201028
19 201526
20 201023

About Viktor Fischer

Viktor Fischer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Hardware and Architecture, Electrical and Electronic Engineering and Computational Theory and Mathematics, having authored 88 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (41 papers), Cryptographic Implementations and Security (38 papers), Physical Unclonable Functions (PUFs) and Hardware Security (36 papers), Advancements in PLL and VCO Technologies (16 papers), Integrated Circuits and Semiconductor Failure Analysis (12 papers), Cellular Automata and Applications (11 papers), Security and Verification in Computing (7 papers) and Coding theory and cryptography (6 papers). The work is most often cited by research in Hardware and Architecture (893 citations), Computer Vision and Pattern Recognition (981 citations), Artificial Intelligence (888 citations), Computational Theory and Mathematics (373 citations) and Signal Processing (141 citations). Viktor Fischer has collaborated with scholars based in France, Slovakia and United States. Frequent co-authors include Miloš Drutarovský, Florent Bernard, Lilian Bossuet, Alain Aubert, Nathalie Bochard, Abdelkarim Cherkaoui, Xuan Thuy Ngo, Laurent Fesquet, Michal Varchola and David Lubicz. Their work appears in journals such as IACR Transactions on Cryptographic Hardware and Embedded Systems, Journal of Cryptology, Lecture notes in computer science, Measurement Science and Technology and International Journal of Imaging Systems and 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.

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