Berk Onat
Impact in
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- Machine Learning in Materials Science
- 2D Materials and Applications
- Microstructure and mechanical properties
- Graphene research and applications
- MXene and MAX Phase Materials
- X-ray Diffraction in Crystallography
Papers in
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- Machine Learning in Materials Science 3
- Microstructure and mechanical properties 2
- 2D Materials and Applications 1
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- Surface and Thin Film Phenomena 2
- Semiconductor materials and interfaces 1
- Co-authors
- Efthimios Kaxiras (2 shared papers)Brad D. Malone (2 shared papers)Ekin D. Cubuk (2 shared papers)Engin Durgun (1 shared paper)Semran İpek (1 shared paper)Amos Waterland (1 shared paper)Narjes Ansari (1 shared paper)Gabriele C. Sosso (1 shared paper)
- Journals
- The Journal of Physical Chemistry C (1 paper)The Journal of Physical Chemistry B (1 paper)The Journal of Chemical Physics (1 paper)Journal of Physics Condensed Matter (1 paper)Physical review. B. (1 paper)
- Partner nations
- TürkiyeUnited StatesUnited Kingdom
In The Last Decade
Berk Onat
8 papers receiving 312 citations
Peers
Comparison fields: 5 of 42
- Materials Chemistry 258
- Structural Biology 6
- Computational Theory and Mathematics 27
- Atomic and Molecular Physics, and Optics 50
- Surfaces, Coatings and Films 10
Countries citing papers authored by Berk Onat
This map shows the geographic impact of Berk Onat'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 Berk Onat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Berk Onat more than expected).
Fields of papers citing papers by Berk Onat
This network shows the impact of papers produced by Berk Onat. 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 Berk Onat. The network helps show where Berk Onat may publish in the future.
Co-authors
The 13 scholars most cited alongside Berk Onat, 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 | 2013 | 89 | |
| 2 | 2017 | 62 | |
| 3 | 2018 | 62 | |
| 4 | 2017 | 40 | |
| 5 | 2022 | 35 | |
| 6 | 2020 | 16 | |
| 7 | 2014 | 7 | |
| 8 | 2009 | 5 |
About Berk Onat
Berk Onat is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Atmospheric Science, Structural Biology and Condensed Matter Physics, having authored 8 papers that have together received 316 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (3 papers), nanoparticles nucleation surface interactions (3 papers), Surface and Thin Film Phenomena (2 papers), Microstructure and mechanical properties (2 papers), 2D Materials and Applications (1 paper), Theoretical and Computational Physics (1 paper), Advanced Electron Microscopy Techniques and Applications (1 paper) and Semiconductor materials and interfaces (1 paper). The work is most often cited by research in Materials Chemistry (258 citations), Structural Biology (6 citations), Computational Theory and Mathematics (27 citations), Atomic and Molecular Physics, and Optics (50 citations) and Surfaces, Coatings and Films (10 citations). Berk Onat has collaborated with scholars based in Türkiye, United States and United Kingdom. Frequent co-authors include Efthimios Kaxiras, Brad D. Malone, Ekin D. Cubuk, Engin Durgun, Semran İpek, Amos Waterland, Narjes Ansari, Gabriele C. Sosso, Ali Hassanali and Reinhard J. Maurer. Their work appears in journals such as The Journal of Physical Chemistry C, The Journal of Physical Chemistry B, The Journal of Chemical Physics, Journal of Physics Condensed Matter and Physical review. B..
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.