Žarko Tasev
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Ljupčo KocarevUlrich ParlitzLutz JungeAlexander VardyToni StojanovskiG.M. MaggioL. KocarevFrédéric Lehmann
- Topics
- Chaos control and synchronization (8 papers)Advanced Wireless Communication Techniques (6 papers)Error Correcting Code Techniques (5 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- United StatesNorth MacedoniaGermany
In The Last Decade
Žarko Tasev
13 papers receiving 358 citations
Peers
Comparison fields: 5 of 35
- Computer Networks and Communications 223
- Statistical and Nonlinear Physics 154
- Artificial Intelligence 124
- Computer Vision and Pattern Recognition 121
- Information Systems 46
Countries citing papers authored by Žarko Tasev
This map shows the geographic impact of Žarko Tasev'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 Žarko Tasev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Žarko Tasev more than expected).
Fields of papers citing papers by Žarko Tasev
This network shows the impact of papers produced by Žarko Tasev. 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 Žarko Tasev. The network helps show where Žarko Tasev may publish in the future.
Co-authorship network of co-authors of Žarko Tasev
This figure shows the co-authorship network connecting the top 25 collaborators of Žarko Tasev. A scholar is included among the top collaborators of Žarko Tasev 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 Žarko Tasev. Žarko Tasev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 149 | |
| 7 | 44 | |
| 8 | 10 | |
| 9 | 18 | |
| 10 | 10 | |
| 11 | 84 | |
| 12 | 24 | |
| 13 | 10 | |
| 14 | 1 |
About Žarko Tasev
Žarko Tasev is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Computational Theory and Mathematics, having authored 14 papers that have together received 376 indexed citations. Recurring topics across this work include Chaos control and synchronization (8 papers), Advanced Wireless Communication Techniques (6 papers) and Error Correcting Code Techniques (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (154 citations), Computer Networks and Communications (223 citations) and Computer Vision and Pattern Recognition (121 citations). Žarko Tasev has collaborated with scholars based in United States, North Macedonia and Germany. Frequent co-authors include Ljupčo Kocarev, Ulrich Parlitz, Lutz Junge, Alexander Vardy, Toni Stojanovski, G.M. Maggio, L. Kocarev and Frédéric Lehmann. Their work appears in journals such as Physical Review Letters, IEEE Transactions on Information Theory and Physics Letters A.
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.