Nicholas Zabaras

10.1k total citations · 2 hit papers
160 papers, 7.4k citations indexed

About

Nicholas Zabaras is a scholar working on Mechanics of Materials, Mechanical Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Nicholas Zabaras has authored 160 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Mechanics of Materials, 53 papers in Mechanical Engineering and 45 papers in Statistics, Probability and Uncertainty. Recurrent topics in Nicholas Zabaras's work include Probabilistic and Robust Engineering Design (45 papers), Metallurgy and Material Forming (25 papers) and Metal Forming Simulation Techniques (24 papers). Nicholas Zabaras is often cited by papers focused on Probabilistic and Robust Engineering Design (45 papers), Metallurgy and Material Forming (25 papers) and Metal Forming Simulation Techniques (24 papers). Nicholas Zabaras collaborates with scholars based in United States, United Kingdom and Germany. Nicholas Zabaras's 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 and has published in prestigious journals such as The Journal of Chemical Physics, Physical Review B and Acta Materialia.

In The Last Decade

Nicholas Zabaras

160 papers receiving 7.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

2019 672 citations Yinhao Zhu, Nicholas Zabaras et al. Journal of Computational Physics profile →
Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification

2018 481 citations Yinhao Zhu, Nicholas Zabaras Journal of Computational Physics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nicholas Zabaras United States	45	2.3k	2.0k	1.7k	1.5k	1.4k	160	7.4k
Omar Knio United States	38	1.2k 0.5×	1.0k 0.5×	1.3k 0.8×	412 0.3×	1.6k 1.1×	218	6.0k
Maziar Raissi United States	15	1.5k 0.7×	1.4k 0.7×	1.9k 1.2×	7.8k 5.2×	3.3k 2.3×	32	14.4k
Anthony T. Patera United States	49	2.1k 0.9×	1.8k 0.9×	905 0.5×	4.3k 2.8×	6.2k 4.3×	153	10.3k
Michael Griebel Germany	41	1.2k 0.5×	1.4k 0.7×	364 0.2×	505 0.3×	2.3k 1.6×	148	6.7k
Pol D. Spanos United States	48	7.3k 3.2×	1.3k 0.7×	1.1k 0.7×	1.6k 1.1×	1.3k 0.9×	248	12.7k
Christian Soize France	45	4.2k 1.8×	1.5k 0.7×	924 0.6×	1.0k 0.7×	380 0.3×	272	7.3k
William L. Oberkampf United States	36	3.1k 1.4×	549 0.3×	730 0.4×	328 0.2×	2.2k 1.5×	117	7.7k
T. K. Caughey United States	45	1.4k 0.6×	2.3k 1.1×	1.6k 1.0×	912 0.6×	1.3k 0.9×	134	11.0k
J. Tinsley Oden United States	53	900 0.4×	7.0k 3.5×	1.5k 0.9×	671 0.4×	6.6k 4.6×	245	13.6k
Charbel Farhat United States	71	3.0k 1.3×	4.8k 2.4×	1.2k 0.7×	4.8k 3.1×	12.1k 8.4×	389	19.2k

Countries citing papers authored by Nicholas Zabaras

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Geneva, Nicholas & Nicholas Zabaras. (2021). Transformers for modeling physical systems. Neural Networks. 146. 272–289. 95 indexed citations

Zabaras, Nicholas, et al.. (2019). Predictive collective variable discovery with deep Bayesian models. The Journal of Chemical Physics. 150(2). 24109–24109. 27 indexed citations

Zhu, Yinhao, Nicholas Zabaras, Phaedon‐Stelios Koutsourelakis, & Paris Perdikaris. (2019). Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data. Journal of Computational Physics. 394. 56–81. 672 indexed citations breakdown →

Koutsourelakis, Phaedon‐Stelios, Nicholas Zabaras, & Mark Girolami. (2016). Special Issue: Big data and predictive computational modeling. Journal of Computational Physics. 321. 1252–1254. 10 indexed citations

Zabaras, Nicholas, et al.. (2016). Predictive coarse-graining. Journal of Computational Physics. 333. 49–77. 25 indexed citations

Chen, Peng & Nicholas Zabaras. (2013). A nonparametric belief propagation method for uncertainty quantification with applications to flow in random porous media. Journal of Computational Physics. 250. 616–643. 3 indexed citations

Ganapathysubramanian, Baskar & Nicholas Zabaras. (2008). A seamless approach towards stochastic modeling: Sparse grid collocation and data driven input models. Finite Elements in Analysis and Design. 44(5). 298–320. 16 indexed citations

Zabaras, Nicholas & Baskar Ganapathysubramanian. (2008). A scalable framework for the solution of stochastic inverse problems using a sparse grid collocation approach. Journal of Computational Physics. 227(9). 4697–4735. 62 indexed citations

Ganapathysubramanian, Baskar & Nicholas Zabaras. (2005). On the control of solidification using magnetic fields and magnetic field gradients. International Journal of Heat and Mass Transfer. 48(19-20). 4174–4189. 19 indexed citations

10.

Sundararaghavan, Veera & Nicholas Zabaras. (2004). Classification and reconstruction of three-dimensional microstructures using support vector machines. Computational Materials Science. 32(2). 223–239. 144 indexed citations

11.

Zabaras, Nicholas, et al.. (2000). An object‐oriented framework for the implementation of adjoint techniques in the design and control of complex continuum systems. International Journal for Numerical Methods in Engineering. 48(2). 239–266. 2 indexed citations

12.

Zabaras, Nicholas, et al.. (2000). A Gradient Based Optimization Framework for the Design of Single and Multi-Stage Metal Forming Processes. 495–507. 3 indexed citations

13.

Zabaras, Nicholas, et al.. (2000). A continuum Lagrangian sensitivity analysis for metal forming processes with applications to die design problems. International Journal for Numerical Methods in Engineering. 48(5). 679–720. 2 indexed citations

14.

Badrinarayanan, S. & Nicholas Zabaras. (1996). A sensitivity analysis for the optimal design of metal-forming processes. Computer Methods in Applied Mechanics and Engineering. 129(4). 319–348. 80 indexed citations

15.

Zabaras, Nicholas & The Hung Nguyen. (1995). Control of the freezing interface morphology in solidification processes in the presence of natural convection. International Journal for Numerical Methods in Engineering. 38(9). 1555–1578. 27 indexed citations

16.

Zabaras, Nicholas, et al.. (1995). A theory for small deformation analysis of growing bodies with an application to the winding of magnetic tape packs. Acta Mechanica. 111(1-2). 95–110. 10 indexed citations

17.

Zabaras, Nicholas, et al.. (1994). A least‐squares front‐tracking finite element method analysis of phase change with natural convection. International Journal for Numerical Methods in Engineering. 37(16). 2755–2777. 25 indexed citations

18.

Maniatty, Antoinette M. & Nicholas Zabaras. (1994). Investigation of regularization parameters and error estimating in inverse elasticity problems. International Journal for Numerical Methods in Engineering. 37(6). 1039–1052. 60 indexed citations

19.

Zabaras, Nicholas, et al.. (1992). DESIGN OF TWO-DIMENSIONAL STEFAN PROCESSES WITH DESIRED FREEZING FRONT MOTIONS. Numerical Heat Transfer Part B Fundamentals. 21(3). 307–325. 56 indexed citations

20.

Zabaras, Nicholas, Subrata Mukherjee, & Oliver P. Richmond. (1988). An Analysis of Inverse Heat Transfer Problems With Phase Changes Using an Integral Method. Journal of Heat Transfer. 110(3). 554–561. 53 indexed citations

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.

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