Grigory Kabatiansky
-
- Advanced Steganography and Watermarking Techniques 20
- Chaos-based Image/Signal Encryption 11
- Digital Media Forensic Detection 5
- Artificial Intelligence top 10%
- Coding theory and cryptography 21
-
- Cellular Automata and Applications 8
-
- graph theory and CDMA systems 17
-
- DNA and Biological Computing 8
-
- Sparse and Compressive Sensing Techniques 5
- Co-authors
- G. R. BlakleyAlexander BargFabien GalandEvgenii KroukIlya DumerYing MiaoMoon Ho LeeВ. С. Лебедев
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputational Theory and Mathematics
In The Last Decade
Grigory Kabatiansky
40 papers receiving 375 citations
Peers
Comparison fields: 5 of 31
- Computer Vision and Pattern Recognition 223
- Artificial Intelligence 189
- Computational Theory and Mathematics 79
- Signal Processing 33
- Computer Networks and Communications 60
Countries citing papers authored by Grigory Kabatiansky
This map shows the geographic impact of Grigory Kabatiansky'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 Grigory Kabatiansky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grigory Kabatiansky more than expected).
Fields of papers citing papers by Grigory Kabatiansky
This network shows the impact of papers produced by Grigory Kabatiansky. 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 Grigory Kabatiansky. The network helps show where Grigory Kabatiansky may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Grigory Kabatiansky, 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 | 2024 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 3 | |
| 4 | 2020 | 9 | |
| 5 | 2019 | 8 | |
| 6 | 2018 | 14 | |
| 7 | 2016 | 4 | |
| 8 | 2016 | 10 | |
| 9 | 2016 | 5 | |
| 10 | 2015 | 2 | |
| 11 | 2015 | 9 | |
| 12 | 2012 | 4 | |
| 13 | 2011 | 0 | |
| 14 | 2009 | 0 | |
| 15 | 2008 | 3 | |
| 16 | 2007 | 4 | |
| 17 | 2006 | 22 | |
| 18 | 2005 | 8 | |
| 19 | 2004 | 11 | |
| 20 | 2003 | 6 |
About Grigory Kabatiansky
Grigory Kabatiansky is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Theory and Mathematics, Signal Processing and Electrical and Electronic Engineering, having authored 47 papers that have together received 399 indexed citations. Recurring topics across this work include Coding theory and cryptography (21 papers), Advanced Steganography and Watermarking Techniques (20 papers), graph theory and CDMA systems (17 papers), Chaos-based Image/Signal Encryption (11 papers), DNA and Biological Computing (8 papers), Cellular Automata and Applications (8 papers), Sparse and Compressive Sensing Techniques (5 papers) and Digital Media Forensic Detection (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (223 citations), Artificial Intelligence (189 citations), Computational Theory and Mathematics (79 citations), Signal Processing (33 citations) and Computer Networks and Communications (60 citations). Grigory Kabatiansky has collaborated with scholars based in Russia, Spain and France. Frequent co-authors include G. R. Blakley, Alexander Barg, Fabien Galand, Evgenii Krouk, Ilya Dumer, Ying Miao, Moon Ho Lee, В. С. Лебедев, Serge Vlăduţ and Minquan Cheng. Their work appears in journals such as Problems of Information Transmission, Designs Codes and Cryptography, IEEE Transactions on Information Theory, Physical Review A and Electronic Notes in Discrete Mathematics.
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.