Michalis Skotiniotis
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 5%
- Statistical and Nonlinear Physics
- Electrical and Electronic Engineering
- Computational Theory and Mathematics
- Co-authors
- Wolfgang DürBarbara KrausFlorian FröwisPavel SekatskiJohn CalsamigliaMatteo RosatiR. Muñoz-TapiaVittorio Giovannetti
- Topics
- Quantum Information and Cryptography (18 papers)Quantum Mechanics and Applications (16 papers)Quantum Computing Algorithms and Architecture (13 papers)
In The Last Decade
Michalis Skotiniotis
21 papers receiving 495 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 436
- Atomic and Molecular Physics, and Optics 412
- Statistical and Nonlinear Physics 37
- Electrical and Electronic Engineering 28
- Computational Theory and Mathematics 21
Countries citing papers authored by Michalis Skotiniotis
This map shows the geographic impact of Michalis Skotiniotis'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 Michalis Skotiniotis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michalis Skotiniotis more than expected).
Fields of papers citing papers by Michalis Skotiniotis
This network shows the impact of papers produced by Michalis Skotiniotis. 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 Michalis Skotiniotis. The network helps show where Michalis Skotiniotis may publish in the future.
Co-authorship network of co-authors of Michalis Skotiniotis
This figure shows the co-authorship network connecting the top 25 collaborators of Michalis Skotiniotis. A scholar is included among the top collaborators of Michalis Skotiniotis 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 Michalis Skotiniotis. Michalis Skotiniotis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 18 | |
| 6 | 40 | |
| 7 | 16 | |
| 8 | 11 | |
| 9 | 9 | |
| 10 | 30 | |
| 11 | 9 | |
| 12 | 13 | |
| 13 | 41 | |
| 14 | 22 | |
| 15 | 0 | |
| 16 | 5 | |
| 17 | 180 | |
| 18 | 2 | |
| 19 | 12 | |
| 20 | 4 |
About Michalis Skotiniotis
Michalis Skotiniotis is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 22 papers that have together received 502 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (18 papers), Quantum Mechanics and Applications (16 papers) and Quantum Computing Algorithms and Architecture (13 papers). The work is most often cited by research in Artificial Intelligence (436 citations), Atomic and Molecular Physics, and Optics (412 citations) and Statistical and Nonlinear Physics (37 citations). Michalis Skotiniotis has collaborated with scholars based in Austria, Spain and Canada. Frequent co-authors include Wolfgang Dür, Barbara Kraus, Florian Fröwis, Pavel Sekatski, John Calsamiglia, Matteo Rosati, R. Muñoz-Tapia, Vittorio Giovannetti, Xin Wang and María García Díaz. Their work appears in journals such as Physical Review Letters, Physical Review A 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.