Igor Stanković
- Condensed Matter Physics top 10%
- Theoretical and Computational Physics 3
- Micro and Nano Robotics 2
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- Characterization and Applications of Magnetic Nanoparticles 5
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- Force Microscopy Techniques and Applications 7
- Magnetic properties of thin films 3
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- Geomagnetism and Paleomagnetism Studies 3
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- Ionic liquids properties and applications 3
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- Lubricants and Their Additives 2
- Co-authors
- René MessinaMartin KrögerSiegfried HessBorislav VasićAleksandar MatkovićRadoš GajićNenad VukmirovićMarko Mladenović
- Journals
- Computer Physics Communications (2 papers)Physical Review B (2 papers)Physica A Statistical Mechanics and its Applications (2 papers)
- Partner nations
- SerbiaGermanySwitzerland
In The Last Decade
Igor Stanković
32 papers receiving 453 citations
Peers
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
Countries citing papers authored by Igor Stanković
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2019 | 19 | |
| 5 | 2018 | 5 | |
| 6 | 2018 | 7 | |
| 7 | 2017 | 25 | |
| 8 | 2016 | 18 | |
| 9 | 2016 | 52 | |
| 10 | 2014 | 55 | |
| 11 | Usage of neural network for the prediction of surface roughness after the roller burnishing | 2012 | 8 |
| 12 | 2012 | 16 | |
| 13 | 2012 | 85 | |
| 14 | Comparative simulations of the heavy machining production system | 2011 | 3 |
| 15 | 2009 | 6 | |
| 16 | 2008 | 11 | |
| 17 | 2004 | 5 | |
| 18 | 2004 | 13 | |
| 19 | 2003 | 9 | |
| 20 | 2002 | 23 |
About Igor Stanković
Igor Stanković is a scholar working on Catalysis, Condensed Matter Physics, Atomic and Molecular Physics, and Optics, Electrochemistry 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), Magnetic properties of thin films (3 papers), Geomagnetism and Paleomagnetism Studies (3 papers), Theoretical and Computational Physics (3 papers), Ionic liquids properties and applications (3 papers), Lubricants and Their Additives (2 papers) and Micro and Nano Robotics (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, Martin Kröger, Siegfried Hess, Borislav Vasić, Aleksandar Matković, Radoš Gajić, Nenad Vukmirović, Marko Mladenović, Konstantinos Gkagkas and Veerapandian Ponnuchamy. Their work appears in journals such as Computer Physics Communications, Physical Review B, Physica A Statistical Mechanics and its Applications, Nanoscale and Soft Matter.
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.