Pınar Acar

936 citations
95 papers · 683 · h-index 15

Impact in

Papers in

Pınar Acar

88 papers receiving 675 citations

Peers

Pınar Acar
Comparison fields: 5 of 69
  • Metals and Alloys 56
  • Statistics, Probability and Uncertainty 148
  • Mechanics of Materials 231
  • Materials Chemistry 327
  • Mechanical Engineering 247
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Tony Fast United States
James W. Foulk United States
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H.J.M. Geijselaers Netherlands
Van Dung Nguyen Belgium
Patricio F. Méndez Canada
Hang Yang China
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Pınar Acar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Pınar Acar Line = papers co-authored together Pınar Acar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201638
2 201937
3 201637
4 201635
5 201733
6 201630
7 201728
8 202025
9 201723
10 202122
11 202019
12 202019
13 202117
14 201915
15 201815
16 201814
17 202313
18 201813
19 201612
20 201911

About Pınar Acar

Pınar Acar is a scholar working on Mechanics of Materials, Materials Chemistry, Mechanical Engineering, Statistics, Probability and Uncertainty and Civil and Structural Engineering, having authored 95 papers that have together received 683 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (24 papers), Machine Learning in Materials Science (23 papers), Topology Optimization in Engineering (17 papers), Metallurgy and Material Forming (13 papers), Composite Material Mechanics (10 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Titanium Alloys Microstructure and Properties (9 papers) and Hydrogen embrittlement and corrosion behaviors in metals (7 papers). The work is most often cited by research in Metals and Alloys (56 citations), Statistics, Probability and Uncertainty (148 citations), Mechanics of Materials (231 citations), Materials Chemistry (327 citations) and Mechanical Engineering (247 citations). Pınar Acar has collaborated with scholars based in United States, Türkiye and Philippines. Frequent co-authors include Veera Sundararaghavan, Mahmudul Hasan, Melike Nikbay, Ali Ramazani, Ankit Agrawal, Wei‐keng Liao, Marc De Graef, Arindam Paul, Alok Choudhary and Md. Maruf Billah. Their work appears in journals such as AIAA Journal, Computational Materials Science, Acta Materialia, Integrating materials and manufacturing innovation and Modelling and Simulation in Materials Science and Engineering.

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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