Panos Pantidis

418 total citations · 1 hit paper
15 papers, 257 citations indexed

About

Panos Pantidis is a scholar working on Civil and Structural Engineering, Statistical and Nonlinear Physics and Materials Chemistry. According to data from OpenAlex, Panos Pantidis has authored 15 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Civil and Structural Engineering, 5 papers in Statistical and Nonlinear Physics and 5 papers in Materials Chemistry. Recurrent topics in Panos Pantidis's work include Model Reduction and Neural Networks (5 papers), High-Velocity Impact and Material Behavior (4 papers) and Structural Response to Dynamic Loads (4 papers). Panos Pantidis is often cited by papers focused on Model Reduction and Neural Networks (5 papers), High-Velocity Impact and Material Behavior (4 papers) and Structural Response to Dynamic Loads (4 papers). Panos Pantidis collaborates with scholars based in United States and United Arab Emirates. Panos Pantidis's co-authors include Simos Gerasimidis, Mostafa E. Mobasher, Andrew J. Gross, Katia Bertoldi, Diab Abueidda, Maria Garlock, Negar Elhami Khorasani, Kyoung Sun Moon and Nikolaos Karathanasopoulos and has published in prestigious journals such as Computer Methods in Applied Mechanics and Engineering, Journal of the Mechanics and Physics of Solids and Journal of Structural Engineering.

In The Last Decade

Panos Pantidis

12 papers receiving 249 citations

Hit Papers

DeepOKAN: Deep operator network based on Kolmogorov Arnol... 2025 2026 2025 10 20 30
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.

  1. DeepOKAN: Deep operator network based on Kolmogorov Arnold networks for mechanics problems
    2025 37 citations Diab Abueidda, Panos Pantidis et al. Computer Methods in Applied Mechanics and Engineering profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Panos Pantidis United States 8 123 68 49 47 45 15 257
Jiachen Guo Hong Kong 10 133 1.1× 72 1.1× 49 1.0× 71 1.5× 16 0.4× 38 272
Atsuya Oishi Japan 8 113 0.9× 111 1.6× 91 1.9× 134 2.9× 28 0.6× 17 299
Ba-Anh Le Vietnam 5 148 1.2× 51 0.8× 73 1.5× 216 4.6× 53 1.2× 10 361
Zhou Huang China 10 236 1.9× 91 1.3× 12 0.2× 123 2.6× 24 0.5× 31 335
Grzegorz Nowak Poland 14 51 0.4× 304 4.5× 40 0.8× 53 1.1× 86 1.9× 44 434
Eduardo Nobre Lages Brazil 10 127 1.0× 68 1.0× 10 0.2× 145 3.1× 16 0.4× 29 300
Xiaotian Zhang China 11 115 0.9× 32 0.5× 34 0.7× 19 0.4× 14 0.3× 40 428
S.Y. Han China 12 135 1.1× 122 1.8× 6 0.1× 250 5.3× 80 1.8× 31 385
Iñaki Garmendia Spain 11 18 0.1× 132 1.9× 11 0.2× 89 1.9× 69 1.5× 40 323

Countries citing papers authored by Panos Pantidis

Since Specialization
Citations

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

Fields of papers citing papers by Panos Pantidis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panos Pantidis

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

All Works

15 of 15 papers shown
1.
Abueidda, Diab, Panos Pantidis, & Mostafa E. Mobasher. (2025). DeepOKAN: Deep operator network based on Kolmogorov Arnold networks for mechanics problems. Computer Methods in Applied Mechanics and Engineering. 436. 117699–117699. 37 indexed citations breakdown →
2.
Abueidda, Diab, et al.. (2025). Time resolution independent operator learning. Computer Methods in Applied Mechanics and Engineering. 450. 118586–118586.
3.
Pantidis, Panos, et al.. (2025). Integrated Finite Element Neural Network (IFENN) for phase-field fracture with minimal input and generalized geometry-load handling. Computer Methods in Applied Mechanics and Engineering. 448. 118485–118485. 2 indexed citations
4.
Pantidis, Panos, et al.. (2025). Multi-stage calibration framework for continuum damage mechanics models. Engineering Fracture Mechanics. 326. 111341–111341.
5.
Pantidis, Panos, et al.. (2025). Variational PINNs with tree-based integration and boundary element data in the modeling of multi-phase architected materials. Engineering Analysis with Boundary Elements. 180. 106448–106448.
6.
Pantidis, Panos, et al.. (2024). A new unified arc-length method for damage mechanics problems. Computational Mechanics. 74(6). 1197–1228. 4 indexed citations
7.
Pantidis, Panos, et al.. (2023). Error convergence and engineering-guided hyperparameter search of PINNs: Towards optimized I-FENN performance. Computer Methods in Applied Mechanics and Engineering. 414. 116160–116160. 17 indexed citations
8.
Pantidis, Panos, et al.. (2023). Error Convergence and Engineering-Guided Hyperparameter Search of Pinns: Towards Optimized I-Fenn Performance. SSRN Electronic Journal. 1 indexed citations
9.
Pantidis, Panos & Mostafa E. Mobasher. (2022). Integrated Finite Element Neural Network (I-FENN) for non-local continuum damage mechanics. Computer Methods in Applied Mechanics and Engineering. 404. 115766–115766. 38 indexed citations
10.
Pantidis, Panos, et al.. (2020). Partial Damage Distribution and Progressive Collapse of Buildings. 98. 52–62. 1 indexed citations
11.
Pantidis, Panos & Simos Gerasimidis. (2018). Progressive collapse of 3D steel composite buildings under interior gravity column loss. Journal of Constructional Steel Research. 150. 60–75. 28 indexed citations
12.
Gross, Andrew J., Panos Pantidis, Katia Bertoldi, & Simos Gerasimidis. (2018). Correlation between topology and elastic properties of imperfect truss-lattice materials. Journal of the Mechanics and Physics of Solids. 124. 577–598. 69 indexed citations
13.
Pantidis, Panos & Simos Gerasimidis. (2017). New Euler-Type Progressive Collapse Curves for Steel Moment-Resisting Frames: Analytical Method. Journal of Structural Engineering. 143(9). 27 indexed citations
14.
Gerasimidis, Simos, et al.. (2017). Resilience of tall steel moment resisting frame buildings with multi-hazard post-event fire. Journal of Constructional Steel Research. 139. 202–219. 24 indexed citations
15.
Gerasimidis, Simos, et al.. (2016). Diagrid Structural System for High-Rise Buildings: Applications of a Simple Stiffness-based Optimized Design. 5(4). 319–326. 9 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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