Boris Škorić

59 papers receiving 1.1k citations

Peers

Boris Škorić
Comparison fields: 5 of 63
  • Acoustics and Ultrasonics 69
  • Hardware and Architecture 443
  • Signal Processing 175
  • Computer Vision and Pattern Recognition 274
  • Artificial Intelligence 390
Replace Francesco Regazzoni with:
Francesco Regazzoni Switzerland
Swaroop Ghosh United States
Pim Tuyls Netherlands
Alvin R. Lebeck United States
Máire O׳Neill United Kingdom
Fei Yan China
Jean‐Luc Danger France
Ajay Joshi United States
Kang Liu China
Wolfgang Mauerer Germany
Boris Škorić relative to Francesco Regazzoni Switzerland Francesco Regazzoni's profile →
Citations per field
00.5×8.6×
Francesco Regazzoni · 1×
Citations per year

Countries citing papers authored by Boris Škorić

Since Specialization
Citations

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

Fields of papers citing papers by Boris Škorić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Boris Škorić, 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 Boris Škorić Line = papers co-authored together Boris Škorić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014130
2 2009122
3 2006104
4 200766
5 202060
6 200847
7 200846
8 200643
9 201838
10 199933
11 201233
12 200630
13 199926
14 201125
15 201025
16 199924
17 201918
18 201318
19 201716
20 201114

About Boris Škorić

Boris Škorić is a scholar working on Artificial Intelligence, Hardware and Architecture, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (23 papers), Advanced Steganography and Watermarking Techniques (16 papers), Quantum Information and Cryptography (11 papers), Chaos-based Image/Signal Encryption (10 papers), Integrated Circuits and Semiconductor Failure Analysis (8 papers), Quantum Computing Algorithms and Architecture (8 papers), Advanced Memory and Neural Computing (7 papers) and Cryptography and Data Security (6 papers). The work is most often cited by research in Acoustics and Ultrasonics (69 citations), Hardware and Architecture (443 citations), Signal Processing (175 citations), Computer Vision and Pattern Recognition (274 citations) and Artificial Intelligence (390 citations). Boris Škorić has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Pim Tuyls, Stefan Katzenbeisser, Allard P. Mosk, Pepijn W. H. Pinkse, A. M. M. Pruisken, Mehmet Çelik, М. А. Баранов, Ahmad‐Reza Sadeghi, Dries Schellekens and Klaus Kursawe. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, Designs Codes and Cryptography, Quantum Information and Computation, Quantum Information Processing and Physical review. B, Condensed matter.

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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