Viktor Stojkoski

1.0k citations
37 papers · 501 · h-index 11

Impact in

Papers in

    • Innovation Policy and R&D 6
    • Economic and Technological Innovation 6
    • Complex Systems and Time Series Analysis 6
    • Economic Growth and Productivity 5
    • Energy, Environment, Economic Growth 4
    • Evolutionary Game Theory and Cooperation 6

Viktor Stojkoski

35 papers receiving 485 citations

Peers

Viktor Stojkoski
Comparison fields: 5 of 85
  • Business and International Management 48
  • Economics and Econometrics 259
  • Statistical and Nonlinear Physics 95
  • Modeling and Simulation 20
  • General Economics, Econometrics and Finance 34
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Citations per field
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Citations per year

Countries citing papers authored by Viktor Stojkoski

Since Specialization
Citations

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

Fields of papers citing papers by Viktor Stojkoski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Viktor Stojkoski, 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 Viktor Stojkoski Line = papers co-authored together Viktor Stojkoski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201676
2 202367
3 202148
4 202041
5 202238
6 201823
7 202122
8 202322
9 202021
10 201820
11 201912
12 201910
13 201810
14 201910
15 20249
16 20199
17 20227
18
Financial Development and Growth: Panel Cointegration Evidence from South-Eastern and Central Europe
20166
19 20176
20 20196

About Viktor Stojkoski

Viktor Stojkoski is a scholar working on Economics and Econometrics, Sociology and Political Science, Statistical and Nonlinear Physics, Molecular Biology and Finance, having authored 37 papers that have together received 501 indexed citations. Recurring topics across this work include Innovation Policy and R&D (6 papers), Economic and Technological Innovation (6 papers), Complex Systems and Time Series Analysis (6 papers), Evolutionary Game Theory and Cooperation (6 papers), Economic Growth and Productivity (5 papers), Evolution and Genetic Dynamics (4 papers), Financial Risk and Volatility Modeling (4 papers) and Energy, Environment, Economic Growth (4 papers). The work is most often cited by research in Business and International Management (48 citations), Economics and Econometrics (259 citations), Statistical and Nonlinear Physics (95 citations), Modeling and Simulation (20 citations) and General Economics, Econometrics and Finance (34 citations). Viktor Stojkoski has collaborated with scholars based in North Macedonia, Germany and France. Frequent co-authors include Ljupčo Kocarev, Zoran Utkovski, Trifce Sandev, A. Pal, Philipp Koch, César A. Hidalgo, Lasko Basnarkov, Ralf Metzler, Mateja Kert and Fernando Pérez‐Cruz. Their work appears in journals such as Physical review. E, Physica A Statistical Mechanics and its Applications, PLoS ONE, Chaos Solitons & Fractals and Nature Communications.

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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