Maksim Iavich
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Co-authors
- Sergiy GnatyukРоман ОдарченкоZhengbing HuНаталія КраусОrken MamyrbayevLarysa GlobaYuriy SyerovСоломія Федушко
- Topics
- Chaos-based Image/Signal Encryption (16 papers)Cryptography and Data Security (14 papers)Cryptographic Implementations and Security (12 papers)
In The Last Decade
Maksim Iavich
38 papers receiving 170 citations
Peers
Comparison fields: 5 of 54
- Artificial Intelligence 91
- Computer Vision and Pattern Recognition 64
- Information Systems 50
- Computer Networks and Communications 47
- Electrical and Electronic Engineering 20
Countries citing papers authored by Maksim Iavich
This map shows the geographic impact of Maksim Iavich'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 Maksim Iavich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maksim Iavich more than expected).
Fields of papers citing papers by Maksim Iavich
This network shows the impact of papers produced by Maksim Iavich. 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 Maksim Iavich. The network helps show where Maksim Iavich may publish in the future.
Co-authorship network of co-authors of Maksim Iavich
This figure shows the co-authorship network connecting the top 25 collaborators of Maksim Iavich. A scholar is included among the top collaborators of Maksim Iavich 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 Maksim Iavich. Maksim Iavich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | Studies on Cryptographic Security and Speed Analysis of New Advanced Block Cipher. | 1 |
| 16 | Improved Secure Stream Cipher for Cloud Computing. | 7 |
| 17 | 24 | |
| 18 | High-Speed Privaсy Amplification Method for Deterministic Quantum Cryptography Protocols Using Pairs of Entangled Qutrits. | 4 |
| 19 | High-Performance Reliable Block Encryption Algorithms Secured against Linear and Differential Cryptanalytic Attacks. | 5 |
| 20 | 2 |
About Maksim Iavich
Maksim Iavich is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 50 papers that have together received 187 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (16 papers), Cryptography and Data Security (14 papers) and Cryptographic Implementations and Security (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (64 citations), Artificial Intelligence (91 citations) and Information Systems (50 citations). Maksim Iavich has collaborated with scholars based in Georgia, Ukraine and Romania. Frequent co-authors include Sergiy Gnatyuk, Роман Одарченко, Zhengbing Hu, Наталія Краус, Оrken Mamyrbayev, Larysa Globa, Yuriy Syerov, Соломія Федушко and Maksym Zaliskyi. Their work appears in journals such as Sensors, Journal of Network and Computer Applications and Electronics.
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.