Panos Stinis
Impact in
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- Model Reduction and Neural Networks
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- Probabilistic and Robust Engineering Design
Papers in
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- Model Reduction and Neural Networks 19
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- Gaussian Processes and Bayesian Inference 5
- Target Tracking and Data Fusion in Sensor Networks 4
- Co-authors
- Alexandre M. Tartakovsky (7 shared papers)George Em Karniadakis (5 shared papers)Qizhi He (4 shared papers)Yucheng Fu (6 shared papers)Vasileios Maroulas (1 shared paper)Shady E. Ahmed (4 shared papers)Mauro Perego (2 shared papers)Jing Li (3 shared papers)
- Journals
- Journal of Computational Physics (12 papers)Journal of Power Sources (3 papers)Machine Learning Science and Technology (3 papers)Computer Methods in Applied Mechanics and Engineering (2 papers)Journal of Advances in Modeling Earth Systems (2 papers)
- Partner nations
- United StatesMoroccoRussia
In The Last Decade
Panos Stinis
43 papers receiving 431 citations
Peers
Comparison fields: 5 of 63
- Statistical and Nonlinear Physics 172
- Statistics, Probability and Uncertainty 58
- Automotive Engineering 58
- Computational Mechanics 71
- Artificial Intelligence 100
Countries citing papers authored by Panos Stinis
This map shows the geographic impact of Panos Stinis'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 Panos Stinis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panos Stinis more than expected).
Fields of papers citing papers by Panos Stinis
This network shows the impact of papers produced by Panos Stinis. 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 Panos Stinis. The network helps show where Panos Stinis may publish in the future.
Co-authors
The 25 scholars most cited alongside Panos Stinis, 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 | 2023 | 44 | |
| 2 | 2024 | 36 | |
| 3 | 2022 | 33 | |
| 4 | 2011 | 32 | |
| 5 | 2015 | 24 | |
| 6 | 2023 | 21 | |
| 7 | 2022 | 20 | |
| 8 | 2024 | 19 | |
| 9 | 2019 | 19 | |
| 10 | 2023 | 14 | |
| 11 | 2024 | 12 | |
| 12 | 2018 | 12 | |
| 13 | 2023 | 11 | |
| 14 | 2024 | 11 | |
| 15 | 2008 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2025 | 9 | |
| 18 | 2017 | 9 | |
| 19 | 2024 | 8 | |
| 20 | 11 Renormalized reduced models for singular PDEs | 2016 | 8 |
About Panos Stinis
Panos Stinis is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence, Electrical and Electronic Engineering, Statistics, Probability and Uncertainty and Computational Mechanics, having authored 44 papers that have together received 449 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (19 papers), Probabilistic and Robust Engineering Design (9 papers), Advanced Battery Technologies Research (6 papers), Advanced battery technologies research (6 papers), Gaussian Processes and Bayesian Inference (5 papers), Nuclear Engineering Thermal-Hydraulics (5 papers), Fluid Dynamics and Turbulent Flows (5 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (172 citations), Statistics, Probability and Uncertainty (58 citations), Automotive Engineering (58 citations), Computational Mechanics (71 citations) and Artificial Intelligence (100 citations). Panos Stinis has collaborated with scholars based in United States, Morocco and Russia. Frequent co-authors include Alexandre M. Tartakovsky, George Em Karniadakis, Qizhi He, Yucheng Fu, Vasileios Maroulas, Shady E. Ahmed, Mauro Perego, Jing Li, Dan Givoli and Eli Turkel. Their work appears in journals such as Journal of Computational Physics, Journal of Power Sources, Machine Learning Science and Technology, Computer Methods in Applied Mechanics and Engineering and Journal of Advances in Modeling Earth Systems.
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.