Nikolaos Bouklas

2.5k total citations · 1 hit paper
69 papers, 1.9k citations indexed

About

Nikolaos Bouklas is a scholar working on Biomedical Engineering, Statistical and Nonlinear Physics and Mechanics of Materials. According to data from OpenAlex, Nikolaos Bouklas has authored 69 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Biomedical Engineering, 21 papers in Statistical and Nonlinear Physics and 17 papers in Mechanics of Materials. Recurrent topics in Nikolaos Bouklas's work include Elasticity and Material Modeling (22 papers), Model Reduction and Neural Networks (21 papers) and Cellular Mechanics and Interactions (12 papers). Nikolaos Bouklas is often cited by papers focused on Elasticity and Material Modeling (22 papers), Model Reduction and Neural Networks (21 papers) and Cellular Mechanics and Interactions (12 papers). Nikolaos Bouklas collaborates with scholars based in United States, Switzerland and Italy. Nikolaos Bouklas's co-authors include Jan N. Fuhg, Rui Huang, Chad M. Landis, Bin Li, Teeratorn Kadeethum, Michele Marino, Reese E. Jones, Xi Wang, Minglin Ma and Daniel O’Malley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Nikolaos Bouklas

66 papers receiving 1.8k citations

Hit Papers

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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.

A Review on Data-Driven Constitutive Laws for Solids

2024 54 citations Jan N. Fuhg, Nikolaos Bouklas et al. profile →

Peers

Countries citing papers authored by Nikolaos Bouklas

Since Specialization

Citations

This map shows the geographic impact of Nikolaos Bouklas'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 Nikolaos Bouklas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nikolaos Bouklas more than expected).

Fields of papers citing papers by Nikolaos Bouklas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nikolaos Bouklas. 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 Nikolaos Bouklas. The network helps show where Nikolaos Bouklas may publish in the future.

Co-authorship network of co-authors of Nikolaos Bouklas

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolaos Bouklas. A scholar is included among the top collaborators of Nikolaos Bouklas 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 Nikolaos Bouklas. Nikolaos Bouklas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A chain stretch-based gradient-enhanced model for damage and fracture in elastomers 2025 ·Computer Methods in Applied Mechanics and Engineering ·(unknown), (unknown), Brandon Talamini, Nikolaos Bouklas	1
2	Physics augmented machine learning discovery of composition-dependent constitutive laws for 3D printed digital materials 2025 ·International Journal of Engineering Science ·(unknown), (unknown), (unknown), (unknown), Ofer Cohen, Daniel Seidl, Reese E. Jones, Nikolaos Bouklas, Noy Cohen	1
3	Cohesive instability in elastomers: insights from a crosslinked Van der Waals fluid model 2025 ·International Journal of Fracture ·(unknown), Nikolaos Bouklas, Franck J. Vernerey	2
4	Extreme sparsification of physics-augmented neural networks for interpretable model discovery in mechanics 2024 ·Computer Methods in Applied Mechanics and Engineering ·Jan N. Fuhg, Reese E. Jones, Nikolaos Bouklas	29
5	Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models 2024 ·Computer Methods in Applied Mechanics and Engineering ·(unknown), Jan N. Fuhg, Cosmin Safta, Reese E. Jones, Nikolaos Bouklas	4
6	Evaluating Fracture Energy Predictions Using Phase-Field and Gradient-Enhanced Damage Models for Elastomers 2024 ·Journal of Applied Mechanics ·(unknown), (unknown), (unknown), Nikolaos Bouklas	2
7	Modeling the mechanosensitive collective migration of cells on the surface and the interior of morphing soft tissues 2024 ·Biomechanics and Modeling in Mechanobiology ·Jaemin Kim, Mahmut Selman Sakar, Nikolaos Bouklas	1
8	Physics-informed data-driven discovery of constitutive models with application to strain-rate-sensitive soft materials 2024 ·Computational Mechanics ·Kshitiz Upadhyay, Jan N. Fuhg, Nikolaos Bouklas, K.T. Ramesh	22
9	Instabilities induced by mechanical loading determine the viability of chondrocytes grown on porous scaffolds 2023 ·Journal of Biomechanics ·(unknown), Nikolaos Bouklas, Itai Cohen, Lawrence J. Bonassar	4
10	Deep convolutional Ritz method: parametric PDE surrogates without labeled data 2023 ·Applied Mathematics and Mechanics ·Jan N. Fuhg, Aditya P. Karmarkar, Teeratorn Kadeethum, Hongkyu Yoon, Nikolaos Bouklas	14
11	Microscale strain concentrations in tissue-engineered osteochondral implants are dictated by local compositional thresholds and architecture 2023 ·Journal of Biomechanics ·(unknown), (unknown), Hyung Jin Jung, Olivia S. Beane, Sarindr Bhumiratana, Nikolaos Bouklas, Itai Cohen, Lawrence J. Bonassar	2
12	Pseudomonas aeruginosa type IV pili actively induce mucus contraction to form biofilms in tissue-engineered human airways 2023 ·PLoS Biology ·(unknown), (unknown), Lucas A. Meirelles, Joern Pezoldt, Jaemin Kim, (unknown), Nikolaos Bouklas, Bart Deplancke, Alexandre Persat	24
13	Epistemic Uncertainty-Aware Barlow Twins Reduced Order Modeling for Nonlinear Contact Problems 2023 ·IEEE Access ·Teeratorn Kadeethum, John Jakeman, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon	2
14	Fiber plasticity and loss of ellipticity in soft composites under non-monotonic loading 2022 ·International Journal of Solids and Structures ·(unknown), Nelly Andarawis‐Puri, M. Agoras, Nikolaos Bouklas	4
15	Understanding the inelastic response of collagen fibrils: A viscoelastic-plastic constitutive model 2022 ·Acta Biomaterialia ·(unknown), Nikolaos Bouklas	8
16	Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning 2022 ·Scientific Reports ·Teeratorn Kadeethum, Francesco Ballarin, Daniel O’Malley, Youngsoo Choi, Nikolaos Bouklas, Hongkyu Yoon	13
17	The mixed deep energy method for resolving concentration features in finite strain hyperelasticity 2021 ·arXiv (Cornell University) ·Jan N. Fuhg, Nikolaos Bouklas	98
18	Engineering transferrable microvascular meshes for subcutaneous islet transplantation 2019 ·Nature Communications ·Wei Song, Alan Chiu, Long‐Hai Wang, Robert E. Schwartz, Bin Li, Nikolaos Bouklas, Daniel T. Bowers, Duo An, Soon Hon Cheong, James A. Flanders, Yehudah Pardo, Qingsheng Liu, Xi Wang, Vivian K. Lee, Guohao Dai, Minglin Ma	85
19	A variational phase-field model for brittle fracture in polydisperse elastomer networks 2019 ·International Journal of Solids and Structures ·Bin Li, Nikolaos Bouklas	60
20	Surface and Bulk Stresses Drive Morphological Changes in Fibrous Microtissues 2019 ·Biophysical Journal ·(unknown), Bin Li, Jeroen Eyckmans, Nikolaos Bouklas, Mahmut Selman Sakar	19

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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