Kerem Varıcı
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Hardware and Architecture
- Signal Processing
- Computer Networks and Communications
- Co-authors
- Deniz TozGregor LeanderAndrey BogdanovMiroslav KneževićIngrid VerbauwhedeFrançois‐Xavier StandaertCihangir TezcanVincent Rijmen
- Topics
- Cryptographic Implementations and Security (9 papers)Chaos-based Image/Signal Encryption (8 papers)Coding theory and cryptography (8 papers)
In The Last Decade
Kerem Varıcı
10 papers receiving 107 citations
Peers
Comparison fields: 5 of 13
- Artificial Intelligence 97
- Computer Vision and Pattern Recognition 69
- Hardware and Architecture 25
- Signal Processing 24
- Computer Networks and Communications 16
Countries citing papers authored by Kerem Varıcı
This map shows the geographic impact of Kerem Varıcı'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 Kerem Varıcı with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kerem Varıcı more than expected).
Fields of papers citing papers by Kerem Varıcı
This network shows the impact of papers produced by Kerem Varıcı. 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 Kerem Varıcı. The network helps show where Kerem Varıcı may publish in the future.
Co-authorship network of co-authors of Kerem Varıcı
This figure shows the co-authorship network connecting the top 25 collaborators of Kerem Varıcı. A scholar is included among the top collaborators of Kerem Varıcı 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 Kerem Varıcı. Kerem Varıcı is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | More Constructions for strong 8-bit S-boxes with efficient masking in hardware | 1 |
| 3 | 18 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | Study of the AES-like Super Boxes in LED and PHOTON | 1 |
| 7 | On the Four-Round AES Characteristics | 2 |
| 8 | Differential Analysis of the LED Block Cipher | 2 |
| 9 | 71 | |
| 10 | Rebound Attack on JH42 | 1 |
| 11 | Improved Cryptanalysis of Skein | 2 |
| 12 | Lightweight Block Ciphers Revisited: Cryptanalysis of Reduced Round PRESENT and HIGHT | 10 |
About Kerem Varıcı
Kerem Varıcı is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Condensed Matter Physics, having authored 12 papers that have together received 116 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (9 papers), Chaos-based Image/Signal Encryption (8 papers) and Coding theory and cryptography (8 papers). The work is most often cited by research in Hardware and Architecture (25 citations), Computer Vision and Pattern Recognition (69 citations) and Artificial Intelligence (97 citations). Kerem Varıcı has collaborated with scholars based in Belgium, China and Denmark. Frequent co-authors include Deniz Toz, Gregor Leander, Andrey Bogdanov, Miroslav Knežević, Ingrid Verbauwhede, François‐Xavier Standaert, Cihangir Tezcan, Vincent Rijmen, Florian Mendel and Qingju Wang. Their work appears in journals such as IEEE Transactions on Computers, Lecture notes in computer science and Designs Codes and Cryptography.
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.