Pankaj Sahlot

774 total citations
24 papers, 575 citations indexed

About

Pankaj Sahlot is a scholar working on Mechanical Engineering, Automotive Engineering and Aerospace Engineering. According to data from OpenAlex, Pankaj Sahlot has authored 24 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mechanical Engineering, 13 papers in Automotive Engineering and 2 papers in Aerospace Engineering. Recurrent topics in Pankaj Sahlot's work include Additive Manufacturing and 3D Printing Technologies (12 papers), Additive Manufacturing Materials and Processes (11 papers) and Welding Techniques and Residual Stresses (10 papers). Pankaj Sahlot is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (12 papers), Additive Manufacturing Materials and Processes (11 papers) and Welding Techniques and Residual Stresses (10 papers). Pankaj Sahlot collaborates with scholars based in India, Poland and United States. Pankaj Sahlot's co-authors include Amit Arora, Vishal Ashok Wankhede, Harsh Soni, G.K. Dey, Grzegorz Królczyk, Krzysztof Grzelak, Janusz Kluczyński, Amit Kumar Singh, Pranav Nair and Vinay Vakharia and has published in prestigious journals such as Journal of Materials Processing Technology, Wear and Materials.

In The Last Decade

Pankaj Sahlot

23 papers receiving 555 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pankaj Sahlot India 13 496 244 79 63 56 24 575
Chenglei Diao United Kingdom 10 660 1.3× 283 1.2× 70 0.9× 87 1.4× 31 0.6× 13 696
Amberlee S. Haselhuhn United States 18 655 1.3× 176 0.7× 206 2.6× 59 0.9× 37 0.7× 37 722
C. G. Pickin United Kingdom 6 601 1.2× 113 0.5× 134 1.7× 68 1.1× 33 0.6× 7 626
Faiz Redza Ramli Malaysia 10 444 0.9× 354 1.5× 62 0.8× 32 0.5× 25 0.4× 25 558
Steve R. Daniewicz United States 5 443 0.9× 340 1.4× 43 0.5× 75 1.2× 27 0.5× 7 514
Jukka Pakkanen Italy 5 547 1.1× 428 1.8× 46 0.6× 55 0.9× 27 0.5× 8 602
Mao Ni China 14 500 1.0× 182 0.7× 61 0.8× 56 0.9× 16 0.3× 21 535
Gi-Jeong Seo South Korea 10 481 1.0× 230 0.9× 42 0.5× 71 1.1× 16 0.3× 18 511
Eider Aldalur Spain 14 676 1.4× 404 1.7× 33 0.4× 47 0.7× 28 0.5× 22 703

Countries citing papers authored by Pankaj Sahlot

Since Specialization
Citations

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

Fields of papers citing papers by Pankaj Sahlot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankaj Sahlot

This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj Sahlot. A scholar is included among the top collaborators of Pankaj Sahlot 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 Pankaj Sahlot. Pankaj Sahlot 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.
Agrawal, Rohit, et al.. (2024). Adoption of cyber-physical systems in manufacturing industries. AIP conference proceedings. 3023. 30009–30009.
2.
Vakharia, Vinay, et al.. (2023). Estimation of Lithium-ion Battery Discharge Capacity by Integrating Optimized Explainable-AI and Stacked LSTM Model. Batteries. 9(2). 125–125. 63 indexed citations
3.
Soni, Harsh, et al.. (2023). Experimental investigation on process parameters induced mechanical and microstructural properties for laser powder bed fusion additive manufacturing of SS316L. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 239(4). 1637–1649. 4 indexed citations
4.
Sahlot, Pankaj, et al.. (2023). Additive Manufacturing in Industry 4.0: A Review. Lecture notes in mechanical engineering. 289–297. 4 indexed citations
5.
6.
Wankhede, Vishal Ashok, et al.. (2022). Density Prediction in Powder Bed Fusion Additive Manufacturing: Machine Learning-Based Techniques. Applied Sciences. 12(14). 7271–7271. 38 indexed citations
7.
Sahlot, Pankaj, et al.. (2022). Investigation of surface properties for additively manufactured SS316L parts: Effect of post-processing techniques. Materials Today Proceedings. 80. 395–399. 4 indexed citations
8.
Sahlot, Pankaj, et al.. (2022). A Review on Improving the Surface Characteristics of Aluminum Alloy via Friction Stir Processing. 427–436. 1 indexed citations
9.
Soni, Harsh, et al.. (2022). Experimental investigation of mechanical properties for wrought and selective laser melting additively manufactured SS316L and MS300. Materials Today Proceedings. 62. 7215–7219. 16 indexed citations
10.
Soni, Harsh, et al.. (2022). Effect of deposition strategies on mechanical strength of wire arc additively manufactured Inconel 625. Materials Today Proceedings. 62. 7324–7328. 6 indexed citations
11.
12.
Soni, Harsh, et al.. (2021). A comprehensive review on effect of process parameters and heat treatment on tensile strength of additively manufactured Inconel-625. Materials Today Proceedings. 47. 4866–4871. 24 indexed citations
13.
Sahlot, Pankaj, Amit Kumar Singh, Santosh Kumar, et al.. (2021). Heat Transfer and Materials Flow Modeling of FSW for CuCrZr Alloy Using Experimentally Determined Thermo-Physical Properties. Metallurgical and Materials Transactions A. 52(2). 680–690. 2 indexed citations
14.
Sahlot, Pankaj, et al.. (2021). Application of phase change materials in 4D printing: A review. Materials Today Proceedings. 47. 4746–4752. 12 indexed citations
15.
Sahlot, Pankaj, Amit Kumar Singh, Vishvesh Badheka, & Amit Arora. (2019). Friction Stir Welding of Copper: Numerical Modeling and Validation. Transactions of the Indian Institute of Metals. 72(5). 1339–1347. 21 indexed citations
16.
Singh, Amit Kumar, Pankaj Sahlot, Manas Paliwal, & Amit Arora. (2019). Heat transfer modeling of dissimilar FSW of Al 6061/AZ31 using experimentally measured thermo-physical properties. The International Journal of Advanced Manufacturing Technology. 105(1-4). 771–783. 31 indexed citations
17.
Sahlot, Pankaj, S.S. Nene, M. Frank, Rajiv S. Mishra, & Amit Arora. (2018). Towards attaining dissimilar lap joint of CuCrZr alloy and 316L stainless steel using friction stir welding. Science and Technology of Welding & Joining. 23(8). 715–720. 13 indexed citations
18.
Sahlot, Pankaj & Amit Arora. (2018). Numerical model for prediction of tool wear and worn-out pin profile during friction stir welding. Wear. 408-409. 96–107. 16 indexed citations
19.
Sahlot, Pankaj, et al.. (2018). Wear-Induced Changes in FSW Tool Pin Profile: Effect of Process Parameters. Metallurgical and Materials Transactions A. 49(6). 2139–2150. 24 indexed citations
20.
Sahlot, Pankaj, et al.. (2016). An assisted heating tool design for FSW of thermoplastics. Journal of Materials Processing Technology. 239. 83–91. 50 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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