Stefan Vlaski
Impact in
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- Distributed Sensor Networks and Detection Algorithms
- Distributed Control Multi-Agent Systems
- Neural Networks Stability and Synchronization
- Computational Mechanics top 10%
- Advanced Adaptive Filtering Techniques
- Sparse and Compressive Sensing Techniques
Papers in
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- Stochastic Gradient Optimization Techniques 14
- Privacy-Preserving Technologies in Data 8
- Advanced Graph Neural Networks 6
- Machine Learning and ELM 4
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- Distributed Control Multi-Agent Systems 14
- Distributed Sensor Networks and Detection Algorithms 13
- Neural Networks Stability and Synchronization 7
- Co-authors
- Ali H. Sayed (37 shared papers)Roula Nassif (16 shared papers)Cédric Richard (4 shared papers)Jie Chen (1 shared paper)Vincenzo Matta (6 shared papers)Bicheng Ying (4 shared papers)Kun Yuan (4 shared papers)Lieven Vandenberghe (1 shared paper)
- Journals
- IEEE Transactions on Signal Processing (6 papers)IEEE Signal Processing Magazine (2 papers)IEEE Transactions on Information Theory (2 papers)IEEE Signal Processing Letters (1 paper)IEEE Transactions on Signal and Information Processing over Networks (1 paper)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Stefan Vlaski
38 papers receiving 375 citations
Peers
Comparison fields: 5 of 46
- Computer Networks and Communications 188
- Computational Mechanics 113
- Artificial Intelligence 170
- Signal Processing 52
- Statistical and Nonlinear Physics 44
Countries citing papers authored by Stefan Vlaski
This map shows the geographic impact of Stefan Vlaski'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 Stefan Vlaski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Vlaski more than expected).
Fields of papers citing papers by Stefan Vlaski
This network shows the impact of papers produced by Stefan Vlaski. 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 Stefan Vlaski. The network helps show where Stefan Vlaski may publish in the future.
Co-authors
The 19 scholars most cited alongside Stefan Vlaski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 64 | |
| 2 | 2022 | 31 | |
| 3 | 2020 | 24 | |
| 4 | 2020 | 23 | |
| 5 | 2023 | 21 | |
| 6 | 2018 | 18 | |
| 7 | 2017 | 16 | |
| 8 | 2016 | 14 | |
| 9 | 2018 | 13 | |
| 10 | 2016 | 13 | |
| 11 | 2020 | 12 | |
| 12 | 2018 | 11 | |
| 13 | 2022 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2019 | 9 | |
| 16 | 2023 | 9 | |
| 17 | 2020 | 8 | |
| 18 | 2015 | 8 | |
| 19 | 2022 | 8 | |
| 20 | 2019 | 7 |
About Stefan Vlaski
Stefan Vlaski is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computational Mechanics, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 44 papers that have together received 379 indexed citations. Recurring topics across this work include Stochastic Gradient Optimization Techniques (14 papers), Distributed Control Multi-Agent Systems (14 papers), Distributed Sensor Networks and Detection Algorithms (13 papers), Sparse and Compressive Sensing Techniques (8 papers), Privacy-Preserving Technologies in Data (8 papers), Neural Networks Stability and Synchronization (7 papers), Advanced Graph Neural Networks (6 papers) and Machine Learning and ELM (4 papers). The work is most often cited by research in Computer Networks and Communications (188 citations), Computational Mechanics (113 citations), Artificial Intelligence (170 citations), Signal Processing (52 citations) and Statistical and Nonlinear Physics (44 citations). Stefan Vlaski has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Ali H. Sayed, Roula Nassif, Cédric Richard, Jie Chen, Vincenzo Matta, Bicheng Ying, Kun Yuan, Lieven Vandenberghe, Marc Antonini and Pascal Frossard. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Signal Processing Magazine, IEEE Transactions on Information Theory, IEEE Signal Processing Letters and IEEE Transactions on Signal and Information Processing over Networks.
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.