Marios Mattheakis
- Statistical and Nonlinear Physics top 5%
- Atomic and Molecular Physics, and Optics
- Materials Chemistry
- Artificial Intelligence top 10%
- Biomedical Engineering
- Co-authors
- Efthimios KaxirasPavlos ProtopapasDavid SondakConstantinos ValagiannopoulosSharmila N. ShirodkarDevansh AgarwalShuheng LiuG. P. Tsironis
- Topics
- Model Reduction and Neural Networks (8 papers)Plasmonic and Surface Plasmon Research (8 papers)Metamaterials and Metasurfaces Applications (5 papers)
- Cited by
- Statistical and Nonlinear PhysicsAcoustics and UltrasonicsAtomic and Molecular Physics, and Optics
- Partner nations
- United StatesGreeceRussia
In The Last Decade
Marios Mattheakis
25 papers receiving 436 citations
Peers
Comparison fields: 5 of 61
- Statistical and Nonlinear Physics 182
- Atomic and Molecular Physics, and Optics 131
- Materials Chemistry 109
- Artificial Intelligence 100
- Biomedical Engineering 85
Countries citing papers authored by Marios Mattheakis
This map shows the geographic impact of Marios Mattheakis'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 Marios Mattheakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marios Mattheakis more than expected).
Fields of papers citing papers by Marios Mattheakis
This network shows the impact of papers produced by Marios Mattheakis. 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 Marios Mattheakis. The network helps show where Marios Mattheakis may publish in the future.
Co-authorship network of co-authors of Marios Mattheakis
This figure shows the co-authorship network connecting the top 25 collaborators of Marios Mattheakis. A scholar is included among the top collaborators of Marios Mattheakis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marios Mattheakis. Marios Mattheakis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 4 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 54 | |
| 6 | 16 | |
| 7 | 7 | |
| 8 | 24 | |
| 9 | 58 | |
| 10 | 11 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 11 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | Visible quantum plasmons in highly-doped few-layer graphene | 3 |
| 17 | 18 | |
| 18 | 17 | |
| 19 | 34 | |
| 20 | 6 |
About Marios Mattheakis
Marios Mattheakis is a scholar working on Statistical and Nonlinear Physics, Electronic, Optical and Magnetic Materials and Artificial Intelligence, having authored 26 papers that have together received 447 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (8 papers), Plasmonic and Surface Plasmon Research (8 papers) and Metamaterials and Metasurfaces Applications (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (182 citations), Acoustics and Ultrasonics (10 citations) and Atomic and Molecular Physics, and Optics (131 citations). Marios Mattheakis has collaborated with scholars based in United States, Greece and Russia. Frequent co-authors include Efthimios Kaxiras, Pavlos Protopapas, David Sondak, Constantinos Valagiannopoulos, Sharmila N. Shirodkar, Devansh Agarwal, Shuheng Liu, G. P. Tsironis, Stephen Roberts and Yue Luo. Their work appears in journals such as Physical Review Letters, Nature Communications and Physics Letters A.
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.