Igor Sokolović
Impact in
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- Advanced Photocatalysis Techniques
- Electrocatalysts for Energy Conversion
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- Catalysis and Oxidation Reactions
Papers in
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- Electronic and Structural Properties of Oxides 10
- Machine Learning in Materials Science 4
- Ferroelectric and Piezoelectric Materials 3
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- Force Microscopy Techniques and Applications 3
- Surface and Thin Film Phenomena 2
- Co-authors
- Ulrike Diebold (16 shared papers)Michael Schmid (13 shared papers)Martin Setvín (14 shared papers)Michele Reticcioli (7 shared papers)Cesare Franchini (5 shared papers)M. Wagner (2 shared papers)Giada Franceschi (4 shared papers)Jan Balajka (3 shared papers)
In The Last Decade
Igor Sokolović
19 papers receiving 424 citations
Peers
Comparison fields: 5 of 55
- Renewable Energy, Sustainability and the Environment 116
- Catalysis 42
- Materials Chemistry 276
- Structural Biology 5
- Electronic, Optical and Magnetic Materials 57
Countries citing papers authored by Igor Sokolović
This map shows the geographic impact of Igor Sokolović'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 Sokolović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Sokolović more than expected).
Fields of papers citing papers by Igor Sokolović
This network shows the impact of papers produced by Igor Sokolović. 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 Sokolović. The network helps show where Igor Sokolović may publish in the future.
Co-authors
The 25 scholars most cited alongside Igor Sokolović, 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 | 2019 | 100 | |
| 2 | 2020 | 66 | |
| 3 | 2023 | 42 | |
| 4 | 2022 | 38 | |
| 5 | 2019 | 36 | |
| 6 | 2024 | 33 | |
| 7 | 2022 | 24 | |
| 8 | 2017 | 22 | |
| 9 | 2021 | 22 | |
| 10 | 2022 | 13 | |
| 11 | 2024 | 12 | |
| 12 | 2024 | 7 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 6 | |
| 15 | 2024 | 3 | |
| 16 | 2019 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 |
About Igor Sokolović
Igor Sokolović is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Renewable Energy, Sustainability and the Environment and Electrical and Electronic Engineering, having authored 19 papers that have together received 435 indexed citations. Recurring topics across this work include Electronic and Structural Properties of Oxides (10 papers), Machine Learning in Materials Science (4 papers), Magnetic and transport properties of perovskites and related materials (4 papers), Force Microscopy Techniques and Applications (3 papers), Iron oxide chemistry and applications (3 papers), Ferroelectric and Piezoelectric Materials (3 papers), Electrocatalysts for Energy Conversion (2 papers) and Surface and Thin Film Phenomena (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (116 citations), Catalysis (42 citations), Materials Chemistry (276 citations), Structural Biology (5 citations) and Electronic, Optical and Magnetic Materials (57 citations). Igor Sokolović has collaborated with scholars based in Austria, Czechia and Italy. Frequent co-authors include Ulrike Diebold, Michael Schmid, Martin Setvín, Michele Reticcioli, Cesare Franchini, M. Wagner, Giada Franceschi, Jan Balajka, Jiří Pavelec and Mikhail Shipilin. Their work appears in journals such as Physical review. B., Science Advances, ACS Nano, Nature Communications and Physical review. E.
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.