P. Sam Paul

860 total citations
58 papers, 641 citations indexed

About

P. Sam Paul is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, P. Sam Paul has authored 58 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Mechanical Engineering, 29 papers in Electrical and Electronic Engineering and 29 papers in Biomedical Engineering. Recurrent topics in P. Sam Paul's work include Advanced machining processes and optimization (32 papers), Advanced Surface Polishing Techniques (19 papers) and Advanced Machining and Optimization Techniques (18 papers). P. Sam Paul is often cited by papers focused on Advanced machining processes and optimization (32 papers), Advanced Surface Polishing Techniques (19 papers) and Advanced Machining and Optimization Techniques (18 papers). P. Sam Paul collaborates with scholars based in India, United States and Ethiopia. P. Sam Paul's co-authors include A. Varadarajan, Ebenezer Daniel, D. Jackuline Moni, S. Radha, Sam Philip, P. Edwin Sudhagar, S. Saravanan, D. Nirmal, George N. Lawrence and Titus Thankachan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Engineering Science and Technology an International Journal and Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture.

In The Last Decade

P. Sam Paul

55 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Sam Paul India 14 448 294 276 225 53 58 641
I. Gallego Spain 14 438 1.0× 288 1.0× 71 0.3× 121 0.5× 42 0.8× 27 542
Nejah Tounsi Canada 11 446 1.0× 263 0.9× 80 0.3× 95 0.4× 34 0.6× 17 490
Mohammad Reza Karafi Iran 13 212 0.5× 119 0.4× 82 0.3× 96 0.4× 77 1.5× 38 389
Jia Feng China 11 409 0.9× 300 1.0× 32 0.1× 202 0.9× 25 0.5× 17 452
Xinmin Jin China 7 329 0.7× 224 0.8× 64 0.2× 122 0.5× 14 0.3× 9 393
Hongyan Shi China 12 241 0.5× 156 0.5× 28 0.1× 167 0.7× 38 0.7× 49 384
H.‐W. Hoffmeister Germany 9 731 1.6× 556 1.9× 112 0.4× 216 1.0× 17 0.3× 21 814
Lakhdar Boulanouar Algeria 14 640 1.4× 303 1.0× 40 0.1× 420 1.9× 38 0.7× 29 710
H.S. Qi United Kingdom 10 495 1.1× 336 1.1× 64 0.2× 117 0.5× 17 0.3× 22 577

Countries citing papers authored by P. Sam Paul

Since Specialization
Citations

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

Fields of papers citing papers by P. Sam Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Sam Paul. 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 P. Sam Paul. The network helps show where P. Sam Paul may publish in the future.

Co-authorship network of co-authors of P. Sam Paul

This figure shows the co-authorship network connecting the top 25 collaborators of P. Sam Paul. A scholar is included among the top collaborators of P. Sam Paul 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 P. Sam Paul. P. Sam Paul 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.
Paul, P. Sam, et al.. (2024). Evaluating the impact of electromagnetic effects on randomized and pre-structured smart silicone magneto-rheological damper in hardened steel turning operations. Multiscale and Multidisciplinary Modeling Experiments and Design. 7(4). 3567–3578. 1 indexed citations
2.
Paul, P. Sam, et al.. (2024). Effect of metallic substrate and rubber elastic materials over passive constrained layer damping on tool vibration during boring process. Journal of low frequency noise, vibration and active control. 43(3). 1139–1157. 2 indexed citations
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Paul, P. Sam, et al.. (2023). Characterization and performance analysis of magnetorheological foam damper for vibration control during boring process. Multiscale and Multidisciplinary Modeling Experiments and Design. 7(2). 837–854. 4 indexed citations
6.
Paul, P. Sam, et al.. (2023). Optimization of Cutting Parameters for Hard Boring of AISI 4340 Steel Using Signal-to-Noise Ratio, Grey Relation Analysis and Analysis of Variance. Periodica Polytechnica Mechanical Engineering. 67(4). 259–269. 3 indexed citations
7.
Paul, P. Sam, et al.. (2023). Prediction of cutting performance using artificial neural network during buffered impact damper-assisted boring process. Multiscale and Multidisciplinary Modeling Experiments and Design. 6(4). 671–684. 5 indexed citations
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Paul, P. Sam, et al.. (2022). Effectiveness of particulate damper on cutting performance during hard turning. AIP conference proceedings. 2659. 170006–170006. 1 indexed citations
11.
Paul, P. Sam, et al.. (2022). Study of nanoparticles impregnated magnetorheological fluid on tribological properties during boring process. International Journal of Systems Assurance Engineering and Management. 13(4). 1955–1963. 3 indexed citations
12.
Moni, D. Jackuline, et al.. (2021). A Novel Architecture for 10-bit 40MSPS Low Power Pipelined ADC Using a Simultaneous Capacitor and Op-amp Sharing Technique. Silicon. 14(9). 4839–4847. 8 indexed citations
13.
Paul, P. Sam, et al.. (2021). Effect of Rheological Fluid Parameters on Tool Vibration During Boring of Hardened Steel. Journal of Advanced Manufacturing Systems. 20(2). 447–470. 1 indexed citations
14.
Daniel, Ebenezer, et al.. (2020). Study on the Influence of Multi-Layered Nano Metal Oxide Coating on Cutting Performance During Boring of Hardened Steel. Materials Today Proceedings. 22. 1731–1736. 2 indexed citations
15.
Paul, P. Sam, et al.. (2020). Effect of temperature on nano metal oxide coating in boring hardened steel. AIP conference proceedings. 2291. 30003–30003. 1 indexed citations
16.
Paul, P. Sam, et al.. (2017). The Effect of Cutting Parameters on Tool Vibration During Magnetorheological Fluid Controlled Turning Bar. The International Journal of Acoustics and Vibration. 22(1). 3 indexed citations
17.
Paul, P. Sam, et al.. (2015). Study on the influence of fluid application parameters on tool vibration and cutting performance during turning of hardened steel. Engineering Science and Technology an International Journal. 19(1). 241–253. 39 indexed citations
18.
Paul, P. Sam, et al.. (2013). Study on the influence of electromagnetic properties of smart fluid on tool vibration. 252–256. 2 indexed citations
19.
Paul, P. Sam & A. Varadarajan. (2012). A multi-sensor fusion model based on artificial neural network to predict tool wear during hard turning. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 226(5). 853–860. 58 indexed citations
20.
Paul, P. Sam, et al.. (2012). Analysis of Turning Tool Holder with Mr Fluid Damper. Procedia Engineering. 38. 2572–2578. 5 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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