Nicholas Zabaras
- Statistics, Probability and Uncertainty top 0.05%
- Mechanics of Materials top 0.5%
- Mechanical Engineering top 1%
- Statistical and Nonlinear Physics top 0.5%
- Computational Mechanics top 0.5%
- Co-authors
- Yinhao ZhuXiang MaBaskar GanapathysubramanianVeera SundararaghavanPhaedon‐Stelios KoutsourelakisNicholas GenevaParis PerdikarisIlias Bilionis
- Topics
- Probabilistic and Robust Engineering Design (45 papers)Metallurgy and Material Forming (25 papers)Metal Forming Simulation Techniques (24 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistical and Nonlinear PhysicsMechanics of Materials
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Nicholas Zabaras
160 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Statistics, Probability and Uncertainty 2.3k
- Mechanics of Materials 2.0k
- Mechanical Engineering 1.7k
- Statistical and Nonlinear Physics 1.5k
- Computational Mechanics 1.4k
Countries citing papers authored by Nicholas Zabaras
This map shows the geographic impact of Nicholas Zabaras'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 Nicholas Zabaras with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Zabaras more than expected).
Fields of papers citing papers by Nicholas Zabaras
This network shows the impact of papers produced by Nicholas Zabaras. 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 Nicholas Zabaras. The network helps show where Nicholas Zabaras may publish in the future.
Co-authorship network of co-authors of Nicholas Zabaras
This figure shows the co-authorship network connecting the top 25 collaborators of Nicholas Zabaras. A scholar is included among the top collaborators of Nicholas Zabaras 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 Nicholas Zabaras. Nicholas Zabaras is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 95 | |
| 2 | 27 | |
| 3 | Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled databreakdown → | 672 |
| 4 | 186 | |
| 5 | 10 | |
| 6 | 25 | |
| 7 | 3 | |
| 8 | 8 | |
| 9 | 45 | |
| 10 | 31 | |
| 11 | 49 | |
| 12 | 19 | |
| 13 | 6 | |
| 14 | 2 | |
| 15 | 80 | |
| 16 | 27 | |
| 17 | 10 | |
| 18 | 8 | |
| 19 | 56 | |
| 20 | 37 |
About Nicholas Zabaras
Nicholas Zabaras is a scholar working on Statistics, Probability and Uncertainty, Mathematical Physics and Computational Theory and Mathematics, having authored 160 papers that have together received 7.4k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (45 papers), Metallurgy and Material Forming (25 papers) and Metal Forming Simulation Techniques (24 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (2.3k citations), Statistical and Nonlinear Physics (1.5k citations) and Mechanics of Materials (2.0k citations). Nicholas Zabaras has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Yinhao Zhu, Xiang Ma, Baskar Ganapathysubramanian, Veera Sundararaghavan, Phaedon‐Stelios Koutsourelakis, Nicholas Geneva, Paris Perdikaris, Ilias Bilionis, Lijian Tan and Jingbo Wang. Their work appears in journals such as The Journal of Chemical Physics, Physical Review B and Acta Materialia.
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.