Igor Stanković

631 citations
34 papers · 467 · h-index 12

Impact in

Papers in

Igor Stanković

32 papers receiving 453 citations

Peers

Igor Stanković
Comparison fields: 5 of 66
  • Condensed Matter Physics 106
  • Biomedical Engineering 182
  • Materials Chemistry 170
  • Atomic and Molecular Physics, and Optics 96
  • Polymers and Plastics 34
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Hongmei Feng China
Emmanuelle Pauliac-Vaujour United Kingdom
Khalid Ashraf Malaysia
M. Lucci Italy
Yang Zou China
Guillaume Froehlicher France
Renjie Chen United States
Monika Ubl Germany
Zhenhua Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Igor Stanković

Since Specialization
Citations

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

Fields of papers citing papers by Igor Stanković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Igor Stanković, 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 Stanković Line = papers co-authored together Igor Stanković links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201285
2 201455
3 201652
4 201526
5 201725
6 200223
7 201620
8 201919
9 201618
10 201216
11 201316
12 200413
13 200811
14 20039
15
Usage of neural network for the prediction of surface roughness after the roller burnishing
20128
16 20138
17 20187
18 20137
19 20096
20 20246

About Igor Stanković

Igor Stanković is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering and Mechanics of Materials, having authored 34 papers that have together received 467 indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (7 papers), Characterization and Applications of Magnetic Nanoparticles (5 papers), Theoretical and Computational Physics (3 papers), Ionic liquids properties and applications (3 papers), Magnetic properties of thin films (3 papers), Geomagnetism and Paleomagnetism Studies (3 papers), Material Dynamics and Properties (2 papers) and Adhesion, Friction, and Surface Interactions (2 papers). The work is most often cited by research in Condensed Matter Physics (106 citations), Biomedical Engineering (182 citations), Materials Chemistry (170 citations), Atomic and Molecular Physics, and Optics (96 citations) and Polymers and Plastics (34 citations). Igor Stanković has collaborated with scholars based in Serbia, Germany and Switzerland. Frequent co-authors include René Messina, Siegfried Hess, Martin Kröger, Aleksandar Matković, Borislav Vasić, Radoš Gajić, Marko Mladenović, Konstantinos Gkagkas, Nenad Vukmirović and A. Belić. Their work appears in journals such as Computer Physics Communications, Physical Review B, Physica A Statistical Mechanics and its Applications, Nanoscale and Langmuir.

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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