Vladimir Atanasovski

1.4k total citations
98 papers, 940 citations indexed

About

Vladimir Atanasovski is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Vladimir Atanasovski has authored 98 papers receiving a total of 940 indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computer Networks and Communications, 58 papers in Electrical and Electronic Engineering and 10 papers in Information Systems. Recurrent topics in Vladimir Atanasovski's work include Cognitive Radio Networks and Spectrum Sensing (33 papers), Advanced MIMO Systems Optimization (26 papers) and Wireless Networks and Protocols (22 papers). Vladimir Atanasovski is often cited by papers focused on Cognitive Radio Networks and Spectrum Sensing (33 papers), Advanced MIMO Systems Optimization (26 papers) and Wireless Networks and Protocols (22 papers). Vladimir Atanasovski collaborates with scholars based in North Macedonia, Germany and Sweden. Vladimir Atanasovski's co-authors include Liljana Gavrilovska, Daniel Denkovski, Valentin Rakovic, Marko Angjelichinoski, Irene Macaluso, Luiz A. DaSilva, Petri Mähönen, Aleksandar Risteski, Alberto Leon‐Garcia and Janne Riihijärvi and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Vladimir Atanasovski

93 papers receiving 897 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vladimir Atanasovski North Macedonia 17 621 606 121 85 84 98 940
Jingyu Hua China 16 561 0.9× 441 0.7× 112 0.9× 27 0.3× 100 1.2× 116 813
Osamu Muta Japan 19 856 1.4× 589 1.0× 151 1.2× 46 0.5× 41 0.5× 168 1.2k
James Adu Ansere China 18 460 0.7× 582 1.0× 70 0.6× 129 1.5× 57 0.7× 43 956
Michael R. Souryal United States 16 729 1.2× 670 1.1× 116 1.0× 15 0.2× 63 0.8× 61 1.0k
François Chin Singapore 15 930 1.5× 708 1.2× 202 1.7× 14 0.2× 83 1.0× 121 1.1k
Aiping Huang China 25 1.6k 2.6× 1.5k 2.5× 103 0.9× 46 0.5× 30 0.4× 148 2.0k
Mihael Mohorčič Slovenia 16 678 1.1× 651 1.1× 581 4.8× 43 0.5× 82 1.0× 100 1.2k
Siyao Cheng China 18 470 0.8× 849 1.4× 33 0.3× 89 1.0× 80 1.0× 63 1.1k
Abdellatif Medouri Morocco 9 598 1.0× 239 0.4× 238 2.0× 27 0.3× 57 0.7× 26 839
Yingyou Wen China 14 256 0.4× 379 0.6× 59 0.5× 73 0.9× 46 0.5× 69 624

Countries citing papers authored by Vladimir Atanasovski

Since Specialization
Citations

This map shows the geographic impact of Vladimir Atanasovski'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 Vladimir Atanasovski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Atanasovski more than expected).

Fields of papers citing papers by Vladimir Atanasovski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vladimir Atanasovski. 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 Vladimir Atanasovski. The network helps show where Vladimir Atanasovski may publish in the future.

Co-authorship network of co-authors of Vladimir Atanasovski

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Atanasovski. A scholar is included among the top collaborators of Vladimir Atanasovski 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 Vladimir Atanasovski. Vladimir Atanasovski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dalipi, Fisnik, et al.. (2024). Enhancing Academic Credentials: The Synergy of Blockchain and Artificial Intelligence. 206–211. 1 indexed citations
2.
Atanasovski, Vladimir, et al.. (2023). Machine Learning Based Classification of IoT Traffic. Radioengineering. 32(2). 256–263. 5 indexed citations
3.
Dalipi, Fisnik, et al.. (2023). A Systematic Literature Review on Blockchain-Based Systems for Academic Certificate Verification. IEEE Access. 11. 64679–64696. 26 indexed citations
4.
Atanasovski, Vladimir, et al.. (2023). Challenges of Blockchain in Higher Education Institutions for Protection Against Diploma Forgery. 1–6. 3 indexed citations
5.
Gavrilovska, Liljana, Vladimir Atanasovski, Ramjee Prasad, et al.. (2017). Radio Spectrum: Evaluation approaches, coexistence issues and monitoring. Computer Networks. 121. 1–12. 4 indexed citations
6.
Atanasovski, Vladimir & Alberto Leon‐Garcia. (2015). Future Access Enablers for Ubiquitous and Intelligent Infrastructures: First International Conference, FABULOUS 2015, Ohrid, Republic of Macedonia, September 23-25, 2015. Springer eBooks. 1 indexed citations
7.
Rakovic, Valentin, Daniel Denkovski, Vladimir Atanasovski, Petri Mähönen, & Liljana Gavrilovska. (2015). Capacity-Aware Cooperative Spectrum Sensing Based on Noise Power Estimation. IEEE Transactions on Communications. 63(7). 2428–2441. 27 indexed citations
8.
Gavrilovska, Liljana, Valentin Rakovic, & Vladimir Atanasovski. (2015). Visions Towards 5G: Technical Requirements and Potential Enablers. Wireless Personal Communications. 87(3). 731–757. 55 indexed citations
9.
Rakovic, Valentin, et al.. (2013). Cooperative spectrum sensing based on Noise Power estimation. Wireless Personal Multimedia Communications. 1–5. 3 indexed citations
10.
Gavrilovska, Liljana & Vladimir Atanasovski. (2013). Dynamic REM towards flexible spectrum management. 6 indexed citations
11.
Atanasovski, Vladimir, et al.. (2012). Novel spectrum sharing algorithm for maximizing supported WiFi-like secondary users in TV white spaces. European Wireless Conference. 1–7. 5 indexed citations
12.
Stavroulaki, Vera, Kostas Tsagkaris, Panagiotis Demestichas, et al.. (2012). Knowledge Management Toolbox: Machine Learning for Cognitive Radio Networks. IEEE Vehicular Technology Magazine. 7(2). 91–99. 6 indexed citations
13.
Rakovic, Valentin, et al.. (2012). Multi-level modeling of spectrum use. 12. 81–85. 1 indexed citations
14.
Gavrilovska, Liljana, Valentin Rakovic, & Vladimir Atanasovski. (2011). Energy Efficiency of Resource Management Architectures in Heterogeneous Wireless Networks. 1(3). 241–254. 2 indexed citations
15.
Palacio, Fernando, R. Agustı́, J. Pérez-Romero, et al.. (2011). Radio environmental maps: information models and reference model. Document number D4.1. 11 indexed citations
16.
Gavrilovska, Liljana & Vladimir Atanasovski. (2011). Spectrum Sensing Framework for Cognitive Radio Networks. Wireless Personal Communications. 59(3). 447–469. 29 indexed citations
17.
Mateska, Aleksandra Krkoleva, et al.. (2009). Early Fire Detection with WSN. 14. 989–96. 2 indexed citations
18.
Gavrilovska, Liljana, et al.. (2008). Providing interoperability in heterogeneous environments towards 4G. International Symposium ELMAR. 1. 223–226. 4 indexed citations
19.
Atanasovski, Vladimir & Liljana Gavrilovska. (2006). Throughput and Optimal Behavior Analysis of Non-Saturated Contending IEEE 802.11A Systems in Rayleigh Fading Channels. 1–5. 3 indexed citations
20.
Atanasovski, Vladimir & Liljana Gavrilovska. (2005). Efficient service discovery schemes in wireless ad hoc networks implementing cross-layer system design. 496–501. 4 indexed citations

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.

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