Siddhant Kumar

2.2k total citations · 5 hit papers
39 papers, 1.5k citations indexed

About

Siddhant Kumar is a scholar working on Biomedical Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Siddhant Kumar has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 12 papers in Mechanical Engineering and 8 papers in Mechanics of Materials. Recurrent topics in Siddhant Kumar's work include Elasticity and Material Modeling (10 papers), Cellular and Composite Structures (8 papers) and Model Reduction and Neural Networks (7 papers). Siddhant Kumar is often cited by papers focused on Elasticity and Material Modeling (10 papers), Cellular and Composite Structures (8 papers) and Model Reduction and Neural Networks (7 papers). Siddhant Kumar collaborates with scholars based in Netherlands, Switzerland and United States. Siddhant Kumar's co-authors include Dennis M. Kochmann, Laura De Lorenzis, Li Zheng, Moritz Flaschel, Stephanie Tan, Prakash Thakolkaran, Jan-Hendrik Bastek, Konstantinos Karapiperis, Ajeet Kumar and Enzo Marino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Siddhant Kumar

34 papers receiving 1.4k citations

Hit Papers

Inverse-designed spinodoid metamaterials 2020 2026 2022 2024 2020 2021 2021 2023 2023 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Siddhant Kumar Netherlands 17 604 562 418 371 340 39 1.5k
Oliver Weeger Germany 23 647 1.1× 472 0.8× 512 1.2× 307 0.8× 192 0.6× 61 1.5k
Francisco J. Montáns Spain 24 495 0.8× 920 1.6× 617 1.5× 401 1.1× 113 0.3× 93 1.8k
Daniel J. Segalman United States 19 406 0.7× 414 0.7× 390 0.9× 527 1.4× 168 0.5× 71 1.7k
Miguel A. Bessa United States 20 744 1.2× 322 0.6× 1.5k 3.6× 677 1.8× 316 0.9× 45 2.5k
Markus Kästner Germany 31 648 1.1× 596 1.1× 1.3k 3.0× 606 1.6× 203 0.6× 147 2.4k
Michel Coret France 20 671 1.1× 460 0.8× 489 1.2× 188 0.5× 104 0.3× 74 1.4k
Rolf Mahnken Germany 22 1.0k 1.7× 455 0.8× 1.4k 3.3× 352 0.9× 144 0.4× 160 2.1k
Haitao Liao China 15 853 1.4× 351 0.6× 245 0.6× 399 1.1× 58 0.2× 53 1.3k
A.K. Mallik India 27 572 0.9× 412 0.7× 489 1.2× 976 2.6× 225 0.7× 121 2.4k
Stewart McWilliam United Kingdom 24 481 0.8× 425 0.8× 423 1.0× 263 0.7× 44 0.1× 62 1.5k

Countries citing papers authored by Siddhant Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Siddhant Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siddhant Kumar

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

All Works

20 of 20 papers shown
1.
Thakolkaran, Prakash, et al.. (2025). Can KAN CANs? Input-convex Kolmogorov-Arnold Networks (KANs) as hyperelastic constitutive artificial neural networks (CANs). Computer Methods in Applied Mechanics and Engineering. 443. 118089–118089. 4 indexed citations
2.
Biswal, Agni Kumar, et al.. (2025). Toward sustainable polymer design: a molecular dynamics-informed machine learning approach for vitrimers. Digital Discovery. 4(9). 2559–2569. 1 indexed citations
3.
Ahmadi, Majid, et al.. (2025). Ion sensing based on frequency-dependent physico-chemical processes at electrode/electrolyte interfaces. Nature Communications. 16(1). 10874–10874.
4.
Kumar, Siddhant, et al.. (2024). Spatially-graded 3D-printed viscoelastic truss metamaterials for impact trajectory control and energy absorption. Theoretical and Applied Mechanics Letters. 14(5). 100553–100553. 3 indexed citations
6.
Sharma, Saurav, et al.. (2024). Inverse Designing Surface Curvatures by Deep Learning. SHILAP Revista de lepidopterología. 6(6). 9 indexed citations
7.
Li, Zheng, Dennis M. Kochmann, & Siddhant Kumar. (2024). HyperCAN: Hypernetwork-driven deep parameterized constitutive models for metamaterials. Extreme Mechanics Letters. 72. 102243–102243. 5 indexed citations
8.
Thakolkaran, Prakash, et al.. (2024). Experiment-informed finite-strain inverse design of spinodal metamaterials. Extreme Mechanics Letters. 74. 102274–102274. 13 indexed citations
9.
Zheng, Yiwen, Prakash Thakolkaran, Agni Kumar Biswal, et al.. (2024). AI‐Guided Inverse Design and Discovery of Recyclable Vitrimeric Polymers. Advanced Science. 12(6). e2411385–e2411385. 10 indexed citations
10.
Kumar, Siddhant, et al.. (2023). Tweet sentiment analysis using logistic regression. IET conference proceedings.. 2023(11). 332–336.
11.
Zheng, Li, Konstantinos Karapiperis, Siddhant Kumar, & Dennis M. Kochmann. (2023). Unifying the design space and optimizing linear and nonlinear truss metamaterials by generative modeling. Nature Communications. 14(1). 7563–7563. 104 indexed citations breakdown →
12.
Kumar, Siddhant, et al.. (2023). Predicting the influence of geometric imperfections on the mechanical response of 2D and 3D periodic trusses. Acta Materialia. 254. 118918–118918. 25 indexed citations
13.
Flaschel, Moritz, et al.. (2023). Single-test evaluation of directional elastic properties of anisotropic structured materials. Journal of the Mechanics and Physics of Solids. 181. 105471–105471. 11 indexed citations
14.
Marino, Enzo, Moritz Flaschel, Siddhant Kumar, & Laura De Lorenzis. (2023). Automated identification of linear viscoelastic constitutive laws with EUCLID. Mechanics of Materials. 181. 104643–104643. 32 indexed citations
15.
Kumar, Siddhant, et al.. (2023). Enhanced Floating Isogeometric Analysis. Computer Methods in Applied Mechanics and Engineering. 417. 116346–116346. 2 indexed citations
16.
Thakolkaran, Prakash, et al.. (2022). Bayesian-EUCLID: discovering hyperelastic material laws with uncertainties. arXiv (Cornell University). 49 indexed citations
17.
Flaschel, Moritz, Siddhant Kumar, & Laura De Lorenzis. (2022). Automated discovery of generalized standard material models with EUCLID. SSRN Electronic Journal. 2 indexed citations
18.
Kumar, Siddhant, et al.. (2020). The Current Management of Cardiac Tumours: a Comprehensive Literature Review. Brazilian Journal of Cardiovascular Surgery. 35(5). 770–780. 15 indexed citations
19.
Kumar, Siddhant, A. Vidyasagar, & Dennis M. Kochmann. (2019). An assessment of numerical techniques to find energy‐minimizing microstructures associated with nonconvex potentials. International Journal for Numerical Methods in Engineering. 121(7). 1595–1628. 17 indexed citations
20.
Kumar, Siddhant, Kostas Danas, & Dennis M. Kochmann. (2018). Enhanced local maximum-entropy approximation for stable meshfree simulations. Computer Methods in Applied Mechanics and Engineering. 344. 858–886. 19 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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