Ioannis Theodonis
Impact in
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- Magnetic properties of thin films
- Quantum and electron transport phenomena
- Condensed Matter Physics top 10%
- Physics of Superconductivity and Magnetism
Papers in
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- Magnetic properties of thin films 5
- Quantum and electron transport phenomena 5
-
- Physics of Superconductivity and Magnetism 3
- Co-authors
- Alan Kalitsov (6 shared papers)Nicholas Kioussis (5 shared papers)Mairbek Chshiev (3 shared papers)W. H. Butler (3 shared papers)Martı́n E. Garcia (1 shared paper)Eeuwe S. Zijlstra (1 shared paper)A. Vedyayev (1 shared paper)Tobias Zier (1 shared paper)
- Journals
- Physical Review B (2 papers)Journal of Applied Physics (1 paper)Quantum Machine Intelligence (1 paper)Structural Dynamics (1 paper)Physical Review Letters (1 paper)
- Partner nations
- GreeceUnited StatesGermany
In The Last Decade
Ioannis Theodonis
8 papers receiving 435 citations
Peers
Comparison fields: 5 of 27
- Atomic and Molecular Physics, and Optics 361
- Condensed Matter Physics 133
- Structural Biology 9
- Electronic, Optical and Magnetic Materials 79
- Electrical and Electronic Engineering 136
Countries citing papers authored by Ioannis Theodonis
This map shows the geographic impact of Ioannis Theodonis'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 Ioannis Theodonis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ioannis Theodonis more than expected).
Fields of papers citing papers by Ioannis Theodonis
This network shows the impact of papers produced by Ioannis Theodonis. 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 Ioannis Theodonis. The network helps show where Ioannis Theodonis may publish in the future.
Co-authors
The 10 scholars most cited alongside Ioannis Theodonis, 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 | 2006 | 215 | |
| 2 | 2009 | 74 | |
| 3 | 2024 | 42 | |
| 4 | 2006 | 32 | |
| 5 | 2007 | 29 | |
| 6 | 2015 | 26 | |
| 7 | 2006 | 19 | |
| 8 | 2024 | 1 |
About Ioannis Theodonis
Ioannis Theodonis is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Electrical and Electronic Engineering, Information Systems and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 438 indexed citations. Recurring topics across this work include Magnetic properties of thin films (5 papers), Quantum and electron transport phenomena (5 papers), Physics of Superconductivity and Magnetism (3 papers), Imbalanced Data Classification Techniques (1 paper), Advanced Memory and Neural Computing (1 paper), Laser-Ablation Synthesis of Nanoparticles (1 paper), Experimental Learning in Engineering (1 paper) and Laser Material Processing Techniques (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (361 citations), Condensed Matter Physics (133 citations), Structural Biology (9 citations), Electronic, Optical and Magnetic Materials (79 citations) and Electrical and Electronic Engineering (136 citations). Ioannis Theodonis has collaborated with scholars based in Greece, United States and Germany. Frequent co-authors include Alan Kalitsov, Nicholas Kioussis, Mairbek Chshiev, W. H. Butler, Martı́n E. Garcia, Eeuwe S. Zijlstra, A. Vedyayev, Tobias Zier, Nouhaila Innan and Nandan Patel. Their work appears in journals such as Physical Review B, Journal of Applied Physics, Quantum Machine Intelligence, Structural Dynamics and Physical Review Letters.
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.