Ajit Panesar

2.3k total citations · 2 hit papers
32 papers, 1.9k citations indexed

About

Ajit Panesar is a scholar working on Civil and Structural Engineering, Automotive Engineering and Mechanical Engineering. According to data from OpenAlex, Ajit Panesar has authored 32 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Civil and Structural Engineering, 14 papers in Automotive Engineering and 13 papers in Mechanical Engineering. Recurrent topics in Ajit Panesar's work include Topology Optimization in Engineering (12 papers), Additive Manufacturing and 3D Printing Technologies (12 papers) and Composite Structure Analysis and Optimization (9 papers). Ajit Panesar is often cited by papers focused on Topology Optimization in Engineering (12 papers), Additive Manufacturing and 3D Printing Technologies (12 papers) and Composite Structure Analysis and Optimization (9 papers). Ajit Panesar collaborates with scholars based in United Kingdom, United States and Russia. Ajit Panesar's co-authors include Ian Ashcroft, Richard Hague, Adedeji Aremu, Christopher Tuck, Ricky D. Wildman, Meisam Abdi, Duncan L. Hickman, János Plocher, Ian Maskery and IA Ashcroft and has published in prestigious journals such as Journal of Power Sources, Scientific Reports and Polymer.

In The Last Decade

Ajit Panesar

28 papers receiving 1.8k citations

Hit Papers

Insights into the mechanical properties of several triply... 2017 2026 2020 2023 2017 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ajit Panesar United Kingdom 14 1.2k 910 502 337 317 32 1.9k
Jeng‐Ywan Jeng Taiwan 23 1.3k 1.1× 1.1k 1.2× 205 0.4× 480 1.4× 133 0.4× 77 2.0k
Adedeji Aremu United Kingdom 15 2.2k 1.8× 1.6k 1.7× 411 0.8× 719 2.1× 298 0.9× 19 2.8k
Benjamin Woods United Kingdom 23 665 0.5× 843 0.9× 744 1.5× 625 1.9× 460 1.5× 101 2.6k
Bill Lozanovski Australia 10 1.8k 1.5× 1.4k 1.5× 228 0.5× 396 1.2× 158 0.5× 18 2.1k
Aamer Nazir Taiwan 20 1.1k 0.9× 969 1.1× 198 0.4× 446 1.3× 142 0.4× 51 1.8k
Tobias Maconachie Australia 12 1.6k 1.3× 1.1k 1.3× 194 0.4× 354 1.1× 137 0.4× 13 1.8k
Aleksander Czekanski Canada 22 694 0.6× 696 0.8× 140 0.3× 286 0.8× 342 1.1× 100 1.4k
Maciej Mazur Australia 16 1.8k 1.4× 1.5k 1.6× 242 0.5× 339 1.0× 126 0.4× 34 2.2k
Luca Sorrentino Italy 27 1.5k 1.2× 413 0.5× 335 0.7× 374 1.1× 1.0k 3.2× 134 2.2k
Quanjin Ma Malaysia 20 898 0.7× 415 0.5× 265 0.5× 201 0.6× 567 1.8× 94 1.6k

Countries citing papers authored by Ajit Panesar

Since Specialization
Citations

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

Fields of papers citing papers by Ajit Panesar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ajit Panesar

This figure shows the co-authorship network connecting the top 25 collaborators of Ajit Panesar. A scholar is included among the top collaborators of Ajit Panesar 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 Ajit Panesar. Ajit Panesar 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.
Panesar, Ajit, et al.. (2025). Dynamic behaviour of functionally graded lattice structures with short carbon fibre reinforcement. International Journal of Impact Engineering. 208. 105525–105525.
2.
Panesar, Ajit, et al.. (2025). The utility of additively manufactured β-Ti latticed hip implants in reducing femoral stress shielding: A finite element study. Journal of the mechanical behavior of biomedical materials. 168. 106999–106999. 1 indexed citations
4.
Panesar, Ajit, et al.. (2024). Multidisciplinary design optimisation of lattice-based battery housing for electric vehicles. Scientific Reports. 14(1). 12265–12265. 4 indexed citations
5.
Shaffer, Milo S. P., et al.. (2024). Modelling optimum thickness and architecture for lithium-ion battery cathodes. Journal of Power Sources. 614. 235005–235005. 6 indexed citations
6.
Panesar, Ajit, et al.. (2024). Multi-layer thermal simulation using physics-informed neural network. Additive manufacturing. 95. 104498–104498. 7 indexed citations
7.
Hou, Yingwei & Ajit Panesar. (2024). The moisture absorption of additively manufactured short carbon fibre reinforced polyamide. Composites Part A Applied Science and Manufacturing. 188. 108528–108528. 4 indexed citations
8.
Nguyen, Sang, et al.. (2024). The electrical response of carbon fibre reinforced electrodes in structural power composites under cyclic compaction. Composites Science and Technology. 261. 111020–111020. 2 indexed citations
11.
Lee, Chanhui, Emile S. Greenhalgh, & Ajit Panesar. (2021). Optimization of patch-wise laminated composite panels for enhanced dynamic characteristics. Composite Structures. 269. 114017–114017. 5 indexed citations
12.
Panesar, Ajit, et al.. (2021). Machine Learning Derived Graded Lattice Structures. Texas Digital Library (University of Texas). 1 indexed citations
13.
Plocher, János & Ajit Panesar. (2020). Effect of density and unit cell size grading on the stiffness and energy absorption of short fibre-reinforced functionally graded lattice structures. Additive manufacturing. 33. 101171–101171. 160 indexed citations
14.
Plocher, János & Ajit Panesar. (2019). Mechanical Performance of Additively Manufactured Fiber-Reinforced Functionally Graded Lattices. JOM. 72(3). 1292–1298. 21 indexed citations
15.
Panesar, Ajit, Ian Ashcroft, David Brackett, Ricky D. Wildman, & Richard Hague. (2017). Design framework for multifunctional additive manufacturing: Coupled optimization strategy for structures with embedded functional systems. Additive manufacturing. 16. 98–106. 47 indexed citations
16.
Maskery, Ian, Ajit Panesar, Adedeji Aremu, et al.. (2016). An investigation into reinforced and functionally graded lattice structures. Journal of Cellular Plastics. 53(2). 151–165. 262 indexed citations
17.
Panesar, Ajit, David Brackett, Ian Ashcroft, Ricky D. Wildman, & Richard Hague. (2016). Hierarchical remeshing strategies with mesh mapping for topology optimisation. International Journal for Numerical Methods in Engineering. 111(7). 676–700. 29 indexed citations
18.
Brackett, David, Ajit Panesar, Ian Ashcroft, Ricky D. Wildman, & Richard Hague. (2013). An Optimization Based Design Framework for Multi-Functional 3D Printing. Texas Digital Library (University of Texas). 5 indexed citations
19.
Panesar, Ajit & Paul M. Weaver. (2012). Optimisation of blended bistable laminates for a morphing flap. Composite Structures. 94(10). 3092–3105. 81 indexed citations
20.
Panesar, Ajit & Paul M. Weaver. (2010). Optimization of Blended Bistable Laminates for Morphing Control Surfaces. 2 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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