P.S. Suvin

569 total citations
22 papers, 428 citations indexed

About

P.S. Suvin is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Mechanics of Materials. According to data from OpenAlex, P.S. Suvin has authored 22 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mechanical Engineering, 6 papers in Electrical and Electronic Engineering and 5 papers in Mechanics of Materials. Recurrent topics in P.S. Suvin's work include Advanced machining processes and optimization (13 papers), Lubricants and Their Additives (8 papers) and Advanced Machining and Optimization Techniques (6 papers). P.S. Suvin is often cited by papers focused on Advanced machining processes and optimization (13 papers), Lubricants and Their Additives (8 papers) and Advanced Machining and Optimization Techniques (6 papers). P.S. Suvin collaborates with scholars based in India, United States and Russia. P.S. Suvin's co-authors include Satish V. Kailas, Mamilla Ravi Sankar, Kishor Kumar Gajrani, Dipshikha Chakravortty, Srikanth Bontha, K. P. Rajurkar, Divya Prakash Gnanadhas, Marwa R. Mishrif, Jeng‐Haur Horng and M. R. Noor El‐Din and has published in prestigious journals such as Journal of Cleaner Production, Journal of Alloys and Compounds and Journal of Materials Processing Technology.

In The Last Decade

P.S. Suvin

18 papers receiving 416 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.S. Suvin India 9 399 159 119 94 66 22 428
Norfazillah Talib Malaysia 11 529 1.3× 171 1.1× 245 2.1× 141 1.5× 90 1.4× 40 577
S. R. Jayaram India 6 487 1.2× 212 1.3× 171 1.4× 178 1.9× 46 0.7× 9 532
M.S. Najiha Malaysia 10 374 0.9× 222 1.4× 58 0.5× 146 1.6× 62 0.9× 13 418
Binxun Li China 13 292 0.7× 90 0.6× 73 0.6× 135 1.4× 129 2.0× 21 327
Anirudh Udupa United States 12 269 0.7× 92 0.6× 80 0.7× 216 2.3× 84 1.3× 38 360
Denis Boing Brazil 11 281 0.7× 97 0.6× 121 1.0× 105 1.1× 111 1.7× 26 327
Оleksandr Gutnichenko Sweden 12 390 1.0× 125 0.8× 116 1.0× 156 1.7× 107 1.6× 28 420
Éder Silva Costa Brazil 11 331 0.8× 194 1.2× 55 0.5× 123 1.3× 64 1.0× 14 339
Anil Meena India 9 326 0.8× 113 0.7× 98 0.8× 109 1.2× 120 1.8× 28 349
Natalia Szczotkarz Poland 8 360 0.9× 143 0.9× 78 0.7× 100 1.1× 82 1.2× 15 374

Countries citing papers authored by P.S. Suvin

Since Specialization
Citations

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

Fields of papers citing papers by P.S. Suvin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.S. Suvin

This figure shows the co-authorship network connecting the top 25 collaborators of P.S. Suvin. A scholar is included among the top collaborators of P.S. Suvin 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.S. Suvin. P.S. Suvin 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.
Bontha, Srikanth, et al.. (2025). Mechanical and chemical post-treatments for enhancement in tribological performance of laser powder directed energy deposited Inconel 625. Materials Letters. 391. 138446–138446. 1 indexed citations
2.
Suvin, P.S., et al.. (2025). Enhancing the tribological performance of PEG 200 using oil-miscible deep eutectic solvents as lubricant additives. Tribology International. 212. 110957–110957.
3.
Bontha, Srikanth, et al.. (2025). Microstructure - corrosion performance correlation of laser directed energy deposited Inconel 625. Journal of Alloys and Compounds. 1036. 182089–182089.
4.
5.
Suvin, P.S., et al.. (2025). Investigation on the tribological performance of protic ionic liquid as an additive in PEG200 for steel–steel contact. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 239(9). 1129–1139.
6.
Kumar, Dheeraj, et al.. (2024). Green lubricants in action: a comprehensive performance evaluation of groundnut oil-based cutting fluids in metal machining processes. Physica Scripta. 99(6). 65008–65008. 1 indexed citations
7.
Sarma, Rakesh Narayana, et al.. (2024). Coconut Oil–Based Green Cutting Fluid for Sustainability of Machining Operations: Studies on Different Surface Roughnesses. Journal of Tribology. 147(4). 2 indexed citations
8.
9.
Bontha, Srikanth, et al.. (2024). Investigation on high-temperature tribological performance of laser directed energy deposited Inconel 625 for aerospace applications. Tribology International. 202. 110388–110388. 7 indexed citations
10.
Bontha, Srikanth, et al.. (2023). Enhanced tribological performance of laser directed energy deposited Inconel 625 achieved through laser surface remelting. Surface and Coatings Technology. 477. 130345–130345. 35 indexed citations
11.
Kailas, Satish V., et al.. (2022). Wetting behaviour of a Green cutting fluid (GCF); influence of surface roughness and surface energy of AA5052, Ti6Al4V and EN31. Materials Today Proceedings. 62. 7605–7609. 8 indexed citations
12.
Gajrani, Kishor Kumar, P.S. Suvin, Satish V. Kailas, K. P. Rajurkar, & Mamilla Ravi Sankar. (2021). Machining of hard materials using textured tool with minimum quantity nano-green cutting fluid. CIRP journal of manufacturing science and technology. 35. 410–421. 47 indexed citations
13.
Suvin, P.S., et al.. (2020). Evaluation of a comprehensive non-toxic, biodegradable and sustainable cutting fluid developed from coconut oil. Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology. 235(9). 1842–1850. 16 indexed citations
14.
Gajrani, Kishor Kumar, P.S. Suvin, Satish V. Kailas, & Mamilla Ravi Sankar. (2018). Hard machining performance of indigenously developed green cutting fluid using flood cooling and minimum quantity cutting fluid. Journal of Cleaner Production. 206. 108–123. 121 indexed citations
15.
El‐Din, M. R. Noor, Marwa R. Mishrif, Satish V. Kailas, P.S. Suvin, & Jagadeesh K. Mannekote. (2018). Studying the lubricity of new eco-friendly cutting oil formulation in metal working fluid. Industrial Lubrication and Tribology. 70(9). 1569–1579. 18 indexed citations
16.
Suvin, P.S. & Satish V. Kailas. (2018). Study and Comparison of Lubricity of Green and Commercial Cutting Fluid Using Tool-Chip Tribometer. Tribology online. 13(6). 340–350. 5 indexed citations
17.
Gajrani, Kishor Kumar, P.S. Suvin, Satish V. Kailas, & Mamilla Ravi Sankar. (2018). Thermal, rheological, wettability and hard machining performance of MoS2 and CaF2 based minimum quantity hybrid nano-green cutting fluids. Journal of Materials Processing Technology. 266. 125–139. 96 indexed citations
18.
Gajrani, Kishor Kumar, et al.. (2017). Machining of hardened AISI H-13 steel using minimum quantity eco-friendly cutting fluid. 1(3/4). 240–240. 9 indexed citations
19.
Suvin, P.S., et al.. (2017). Machining of hardened AISI H-13 steel using minimum quantity eco-friendly cutting fluid. 1(3/4). 240–240. 6 indexed citations
20.
Suvin, P.S., et al.. (2016). Eco-Friendly, Non-Toxic Cutting Fluid for Sustainable Manufacturing and Machining Processes. Tribology online. 11(5). 556–567. 45 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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