Mohanraj Murugesan

614 total citations
29 papers, 415 citations indexed

About

Mohanraj Murugesan is a scholar working on Mechanical Engineering, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, Mohanraj Murugesan has authored 29 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Mechanical Engineering, 25 papers in Mechanics of Materials and 6 papers in Computational Mechanics. Recurrent topics in Mohanraj Murugesan's work include Metallurgy and Material Forming (21 papers), Metal Forming Simulation Techniques (19 papers) and Microstructure and Mechanical Properties of Steels (6 papers). Mohanraj Murugesan is often cited by papers focused on Metallurgy and Material Forming (21 papers), Metal Forming Simulation Techniques (19 papers) and Microstructure and Mechanical Properties of Steels (6 papers). Mohanraj Murugesan collaborates with scholars based in South Korea, India and Saudi Arabia. Mohanraj Murugesan's co-authors include Dong Won Jung, Wan‐Jin Chung, S. Suresh Kumar, Naksoo Kim, Kyunghoon Lee, Beom-Soo Kang, Dongwook Kim, V. Mohanavel, M. Ravichandran and Munirah D. Albaqami and has published in prestigious journals such as Materials, The International Journal of Advanced Manufacturing Technology and Heliyon.

In The Last Decade

Mohanraj Murugesan

29 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohanraj Murugesan South Korea 11 321 250 138 56 53 29 415
R. E. Śliwa Poland 12 398 1.2× 219 0.9× 144 1.0× 47 0.8× 27 0.5× 67 502
Hassan Ijaz Saudi Arabia 13 293 0.9× 158 0.6× 86 0.6× 109 1.9× 56 1.1× 39 407
V.F. Ruisi Italy 14 406 1.3× 238 1.0× 103 0.7× 51 0.9× 52 1.0× 19 516
M. Abd-Rabou Egypt 11 450 1.4× 214 0.9× 113 0.8× 78 1.4× 17 0.3× 15 496
Amir Atrian Iran 17 644 2.0× 254 1.0× 263 1.9× 35 0.6× 44 0.8× 44 732
Arun Krishnan United States 11 238 0.7× 279 1.1× 74 0.5× 69 1.2× 56 1.1× 19 447
Kyung-Hun Lee South Korea 12 386 1.2× 267 1.1× 117 0.8× 30 0.5× 43 0.8× 40 451
Srinivasu Gangi Setti India 11 345 1.1× 197 0.8× 114 0.8× 40 0.7× 25 0.5× 35 474
Xianghu Tan China 7 391 1.2× 356 1.4× 100 0.7× 39 0.7× 42 0.8× 7 551
Yanpeng Wei China 12 216 0.7× 104 0.4× 105 0.8× 56 1.0× 85 1.6× 23 401

Countries citing papers authored by Mohanraj Murugesan

Since Specialization
Citations

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

Fields of papers citing papers by Mohanraj Murugesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohanraj Murugesan

This figure shows the co-authorship network connecting the top 25 collaborators of Mohanraj Murugesan. A scholar is included among the top collaborators of Mohanraj Murugesan 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 Mohanraj Murugesan. Mohanraj Murugesan 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.
Murugesan, Mohanraj, et al.. (2023). Warm Deformation Behavior and Flow Stress Modeling of AZ31B Magnesium Alloy under Tensile Deformation. Materials. 16(14). 5088–5088. 2 indexed citations
2.
Murugesan, Mohanraj, et al.. (2023). Investigation of forming parameters influence on pillow defect in a new vacuum-assisted incremental sheet forming process. The International Journal of Advanced Manufacturing Technology. 127(11-12). 5531–5551. 7 indexed citations
3.
Murugesan, Mohanraj, et al.. (2023). Hybrid Artificial Neural Network-Based Models to Investigate Deformation Behavior of AZ31B Magnesium Alloy at Warm Tensile Deformation. Materials. 16(15). 5308–5308. 10 indexed citations
4.
Jaber, Mustafa Musa, et al.. (2023). Design systematic wireless inventory trackers with prolonged lifetime and low energy consumption in future 6G network. Wireless Networks. 30(6). 5787–5808. 2 indexed citations
5.
Murugesan, Mohanraj, et al.. (2022). Influence of Aluminum Silicate and Cerium (IV) Oxide Nanofluid on Pool Boiling Characteristics. International Journal of Photoenergy. 2022. 1–11. 3 indexed citations
6.
Murugesan, Mohanraj, et al.. (2022). Optimization of Forming Parameters in Incremental Sheet Forming of AA3003-H18 Sheets Using Taguchi Method. Materials. 15(4). 1458–1458. 12 indexed citations
7.
Raja, Thandavamoorthy, V. Mohanavel, M. Ravichandran, et al.. (2022). Dynamic Mechanical Analysis of Banyan/Ramie Fibers Reinforced with Nanoparticle Hybrid Polymer Composite. Advances in Polymer Technology. 2022. 1–10. 22 indexed citations
8.
Murugesan, Mohanraj, et al.. (2022). Supervised Machine Learning Approach for Modeling Hot Deformation Behavior of Medium Carbon Steel. steel research international. 94(2). 14 indexed citations
9.
Murugesan, Mohanraj, et al.. (2022). Study on the Incremental sheet metal forming process using a metal foam as a die. International Journal of Material Forming. 15(6). 5 indexed citations
10.
Murugesan, Mohanraj & Dong Won Jung. (2021). Formability and Failure Evaluation of AA3003-H18 Sheets in Single-Point Incremental Forming Process through the Design of Experiments. Materials. 14(4). 808–808. 23 indexed citations
11.
Murugesan, Mohanraj, et al.. (2020). Longitudinal Bow Estimation of U-Shape Profile in Cold Roll Formed for Commercial Aluminum Alloys. International Journal of Mechanical Engineering and Robotics Research. 1097–1103. 2 indexed citations
12.
Murugesan, Mohanraj, et al.. (2020). Microstructure Evaluation and Constitutive Modeling of AISI-1045 Steel for Flow Stress Prediction under Hot Working Conditions. Symmetry. 12(5). 782–782. 10 indexed citations
13.
14.
Murugesan, Mohanraj & Dong Won Jung. (2019). Two flow stress models for describing hot deformation behavior of AISI-1045 medium carbon steel at elevated temperatures. Heliyon. 5(4). e01347–e01347. 24 indexed citations
15.
Murugesan, Mohanraj, et al.. (2019). Hybrid Machine Learning Optimization Approach to Predict Hot Deformation Behavior of Medium Carbon Steel Material. Metals. 9(12). 1315–1315. 21 indexed citations
16.
Murugesan, Mohanraj & Dong Won Jung. (2019). Johnson Cook Material and Failure Model Parameters Estimation of AISI-1045 Medium Carbon Steel for Metal Forming Applications. Materials. 12(4). 609–609. 159 indexed citations
17.
Kim, Dongwook, et al.. (2017). Wear-caused deflection evolution of a slide rail, considering linear and non-linear wear models. Journal of Physics Conference Series. 843. 12068–12068. 3 indexed citations
18.
Quagliato, Luca, et al.. (2017). Material property of metal skin – sheet molding compound laminate structures for the production of lightweight vehicles body frame. Procedia Engineering. 207. 878–883. 3 indexed citations
19.
Murugesan, Mohanraj, et al.. (2017). Development of oil canning index model for sheet metal forming products with large curvature. Journal of Physics Conference Series. 896. 12064–12064. 2 indexed citations
20.
Murugesan, Mohanraj, Beom-Soo Kang, & Kyunghoon Lee. (2015). Multi-Objective Design Optimization of Composite Stiffened Panel Using Response Surface Methodology. Composites Research. 28(5). 297–310. 13 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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