Igor Mishkovski

477 citations
27 papers · 266 · h-index 9

Impact in

Papers in

Igor Mishkovski

27 papers receiving 256 citations

Peers

Igor Mishkovski
Comparison fields: 5 of 74
  • Statistical and Nonlinear Physics 114
  • Transportation 38
  • Computer Networks and Communications 84
  • Geometry and Topology 15
  • Artificial Intelligence 35
Replace Chavdar Dangalchev with:
Chavdar Dangalchev Bulgaria
Xiao-Long Ren China
Hiroyoshi Miwa Japan
Hassan Badir Morocco
Alec Kirkley Hong Kong
Mahmoudreza Babaei Germany
W. Li China
Zejun Sun China
Amrita Namtirtha India
Igor Mishkovski relative to Chavdar Dangalchev Bulgaria Chavdar Dangalchev's profile →
Citations per field
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Citations per year

Countries citing papers authored by Igor Mishkovski

Since Specialization
Citations

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

Fields of papers citing papers by Igor Mishkovski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Igor Mishkovski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Igor Mishkovski Line = papers co-authored together Igor Mishkovski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201085
2 201539
3 201718
4 201716
5 201316
6 201814
7 202114
8 201311
9 20118
10 20187
11 20137
12 20135
13 20175
14 20103
15 20103
16 20222
17 20162
18 20122
19
Accelerating Wireless Network Simulation in 3D Terrain Using GPUS.
20151
20 20251

About Igor Mishkovski

Igor Mishkovski is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 27 papers that have together received 266 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (8 papers), Opinion Dynamics and Social Influence (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers), Spam and Phishing Detection (3 papers), Neural Networks Stability and Synchronization (3 papers), Network Security and Intrusion Detection (3 papers), Advanced Graph Neural Networks (2 papers) and Stock Market Forecasting Methods (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (114 citations), Transportation (38 citations), Computer Networks and Communications (84 citations), Geometry and Topology (15 citations) and Artificial Intelligence (35 citations). Igor Mishkovski has collaborated with scholars based in North Macedonia, Italy and Finland. Frequent co-authors include Ljupčo Kocarev, Mario Biey, Sanja Šćepanović, Pan Hui, Antti Ylä-Jääski, Jukka K. Nurminen, Sonja Filiposka, Slobodan Kalajdziski, Bruno Gonçalves and Nguyen Trung Hieu. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, IEEE Transactions on Circuits and Systems I Regular Papers, Communications in Nonlinear Science and Numerical Simulation, Frontiers in Psychiatry and IEEE Access.

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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