Pınar Acar

888 total citations
94 papers, 660 citations indexed

About

Pınar Acar is a scholar working on Mechanics of Materials, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Pınar Acar has authored 94 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Mechanics of Materials, 37 papers in Materials Chemistry and 28 papers in Mechanical Engineering. Recurrent topics in Pınar Acar's work include Probabilistic and Robust Engineering Design (24 papers), Machine Learning in Materials Science (23 papers) and Topology Optimization in Engineering (17 papers). Pınar Acar is often cited by papers focused on Probabilistic and Robust Engineering Design (24 papers), Machine Learning in Materials Science (23 papers) and Topology Optimization in Engineering (17 papers). Pınar Acar collaborates with scholars based in United States, Türkiye and Australia. Pınar Acar's co-authors include Veera Sundararaghavan, Mahmudul Hasan, Melike Nikbay, Ali Ramazani, Ankit Agrawal, Wei‐keng Liao, Arindam Paul, Marc De Graef, Alok Choudhary and Alok Choudhary and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Acta Materialia.

In The Last Decade

Pınar Acar

88 papers receiving 649 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pınar Acar United States 15 337 249 228 148 99 94 660
Tony Fast United States 13 318 0.9× 207 0.8× 266 1.2× 23 0.2× 61 0.6× 13 626
James W. Foulk United States 16 327 1.0× 280 1.1× 509 2.2× 31 0.2× 96 1.0× 32 826
H.J.M. Geijselaers Netherlands 20 296 0.9× 753 3.0× 419 1.8× 27 0.2× 86 0.9× 79 984
Van Dung Nguyen Belgium 18 277 0.8× 296 1.2× 648 2.8× 40 0.3× 139 1.4× 43 1.0k
Noah H. Paulson United States 14 262 0.8× 256 1.0× 129 0.6× 36 0.2× 32 0.3× 27 723
Liangjin Gui China 16 293 0.9× 519 2.1× 308 1.4× 19 0.1× 160 1.6× 37 878
Hang Yang China 11 74 0.2× 180 0.7× 199 0.9× 36 0.2× 127 1.3× 26 464
Karl A. Kalina Germany 15 99 0.3× 157 0.6× 275 1.2× 41 0.3× 327 3.3× 37 797
Philipp Junker Germany 16 186 0.6× 91 0.4× 332 1.5× 38 0.3× 282 2.8× 90 655

Countries citing papers authored by Pınar Acar

Since Specialization
Citations

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

Fields of papers citing papers by Pınar Acar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pınar Acar

This figure shows the co-authorship network connecting the top 25 collaborators of Pınar Acar. A scholar is included among the top collaborators of Pınar Acar 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 Pınar Acar. Pınar Acar 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
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Wang, Kewei, et al.. (2025). MicroProcSim: A Software for Simulation of Microstructure Evolution. Integrating materials and manufacturing innovation. 14(3). 303–319. 1 indexed citations
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Acar, Pınar, et al.. (2024). Reduced-order model for multiphysics simulations of CNT/Polymer Composites via principal component regression and artificial neural networks. Computational Materials Science. 244. 113200–113200. 7 indexed citations
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Acar, Pınar, et al.. (2024). Uncertainty Analysis for Ferromagnetic-Paramagnetic Phase Transition Behavior of Magnetic Materials. JOM. 76(6). 2990–3006. 1 indexed citations
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Wang, Kewei, Mahmudul Hasan, Vishu Gupta, et al.. (2024). Deep Learning Based Inverse Modeling for Materials Design: From Microstructure and Property to Processing. 236–241. 1 indexed citations
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Hasan, Mahmudul, Arindam Paul, Vishu Gupta, et al.. (2023). An AI-driven microstructure optimization framework for elastic properties of titanium beyond cubic crystal systems. npj Computational Materials. 9(1). 12 indexed citations
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Sundararaghavan, Veera, et al.. (2023). Computational Characterization and Model Verification for 3D Microstructure Reconstruction of Additively Manufactured Materials. AIAA SCITECH 2023 Forum. 2 indexed citations
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Acar, Pınar, et al.. (2023). Sensitivity Assessment on Homogenized Stress–Strain Response of Ti-6Al-4V Alloy. JOM. 76(6). 2980–2989. 2 indexed citations
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Acar, Pınar, et al.. (2023). Mapping material-property space of cellular metamaterials under uncertainty. Computational Materials Science. 233. 112716–112716. 3 indexed citations
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Acar, Pınar, et al.. (2022). New Methodologies for Grain Boundary Detection in EBSD Data of Microstructures. AIAA SCITECH 2022 Forum. 2 indexed citations
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Acar, Pınar, et al.. (2021). Shape Moment Invariants as a New Methodology for Uncertainty Quantification in Microstructures. AIAA Scitech 2021 Forum. 5 indexed citations
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Acar, Pınar, et al.. (2021). Markov Random Field based microstructure reconstruction using the principal image moments. Materials Characterization. 178. 111281–111281. 21 indexed citations
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Acar, Pınar, et al.. (2020). Design of β-Titanium microstructures for implant materials. Materials Science and Engineering C. 110. 110715–110715. 19 indexed citations
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Acar, Pınar. (2020). Design Optimization of Metallic Alloy Microstructures under Epistemic Uncertainty. AIAA Scitech 2020 Forum. 1 indexed citations
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Acar, Pınar. (2019). Multi-scale computational modeling of lightweight aluminum-lithium alloys. Heliyon. 5(3). e01225–e01225. 4 indexed citations
20.
Acar, Pınar, et al.. (2007). Mercury (II) - Selective PVC Membrane Electrodes Based on Novel Cryptand Derivatives. Main Group Metal Chemistry. 30(2-3). 117–134. 1 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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Breakdown of academic impact, for papers by Tony Fast Breakdown of academic impact, for papers by James W. Foulk Breakdown of academic impact, for papers by H.J.M. Geijselaers Breakdown of academic impact, for papers by Van Dung Nguyen Breakdown of academic impact, for papers by Noah H. Paulson Breakdown of academic impact, for papers by Liangjin Gui Breakdown of academic impact, for papers by Hang Yang Breakdown of academic impact, for papers by Karl A. Kalina Breakdown of academic impact, for papers by Philipp Junker
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