Goce Jakimoski
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Statistical and Nonlinear Physics top 2%
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 5%
- Co-authors
- Ljupčo KocarevK. P. SubbalakshmiUlrich ParlitzToni StojanovskiNaoki MasudaKazuyuki Aihara
- Topics
- Chaos-based Image/Signal Encryption (10 papers)Chaos control and synchronization (4 papers)Cryptographic Implementations and Security (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionStatistical and Nonlinear PhysicsMathematical Physics
- Journals
- Physics Letters AIEEE Transactions on MultimediaIEEE Transactions on Circuits and Systems I Fundamental Theory and Applications
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Goce Jakimoski
12 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 47
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 531
- Statistical and Nonlinear Physics 432
- Computational Theory and Mathematics 336
- Mathematical Physics 205
Countries citing papers authored by Goce Jakimoski
This map shows the geographic impact of Goce Jakimoski'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 Goce Jakimoski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Goce Jakimoski more than expected).
Fields of papers citing papers by Goce Jakimoski
This network shows the impact of papers produced by Goce Jakimoski. 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 Goce Jakimoski. The network helps show where Goce Jakimoski may publish in the future.
Co-authorship network of co-authors of Goce Jakimoski
This figure shows the co-authorship network connecting the top 25 collaborators of Goce Jakimoski. A scholar is included among the top collaborators of Goce Jakimoski 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 Goce Jakimoski. Goce Jakimoski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 31 | |
| 3 | 107 | |
| 4 | 12 | |
| 5 | 3 | |
| 6 | 76 | |
| 7 | 18 | |
| 8 | 86 | |
| 9 | 87 | |
| 10 | 153 | |
| 11 | 127 | |
| 12 | Chaos and cryptography: block encryption ciphers based on chaotic mapsbreakdown → | 534 |
About Goce Jakimoski
Goce Jakimoski is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Mathematical Physics, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (10 papers), Chaos control and synchronization (4 papers) and Cryptographic Implementations and Security (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Statistical and Nonlinear Physics (432 citations) and Mathematical Physics (205 citations). Goce Jakimoski has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Ljupčo Kocarev, K. P. Subbalakshmi, Ulrich Parlitz, Toni Stojanovski, Naoki Masuda and Kazuyuki Aihara. Their work appears in journals such as Physics Letters A, IEEE Transactions on Multimedia and IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications.
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.