P. Krishnakumar

503 total citations
24 papers, 365 citations indexed

About

P. Krishnakumar is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Civil and Structural Engineering. According to data from OpenAlex, P. Krishnakumar has authored 24 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Mechanical Engineering, 8 papers in Electrical and Electronic Engineering and 5 papers in Civil and Structural Engineering. Recurrent topics in P. Krishnakumar's work include Advanced machining processes and optimization (9 papers), Advanced Machining and Optimization Techniques (6 papers) and Gear and Bearing Dynamics Analysis (4 papers). P. Krishnakumar is often cited by papers focused on Advanced machining processes and optimization (9 papers), Advanced Machining and Optimization Techniques (6 papers) and Gear and Bearing Dynamics Analysis (4 papers). P. Krishnakumar collaborates with scholars based in India, United States and China. P. Krishnakumar's co-authors include K.I. Ramachandran, K. Rameshkumar, M. Saimurugan, Praveenkumar Thangavelu, K. Marimuthu, R. Pandiselvam, R. Kailappan, V. Thirupathi, Jeny Rajan and Supratim Giri and has published in prestigious journals such as IEEE Access, Applied Acoustics and Materials Today Proceedings.

In The Last Decade

P. Krishnakumar

21 papers receiving 342 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. Krishnakumar India 10 251 119 101 73 65 24 365
Sujit S. Pardeshi India 12 180 0.7× 116 1.0× 69 0.7× 40 0.5× 64 1.0× 36 356
Ying Du China 10 224 0.9× 62 0.5× 98 1.0× 53 0.7× 60 0.9× 24 387
Radu Pavel United States 8 257 1.0× 86 0.7× 206 2.0× 114 1.6× 75 1.2× 18 444
Jiayu Ou China 10 281 1.1× 112 0.9× 193 1.9× 37 0.5× 90 1.4× 22 402
Batıhan Şener Türkiye 7 340 1.4× 191 1.6× 72 0.7× 87 1.2× 181 2.8× 8 434
Gökberk Serin Türkiye 6 259 1.0× 140 1.2× 49 0.5× 53 0.7× 145 2.2× 9 324
R. Du China 10 198 0.8× 64 0.5× 197 2.0× 45 0.6× 35 0.5× 26 362
Zhengrui Tao China 6 390 1.6× 197 1.7× 141 1.4× 81 1.1× 111 1.7× 11 524
Amandeep Singh India 12 185 0.7× 76 0.6× 105 1.0× 76 1.0× 13 0.2× 36 302

Countries citing papers authored by P. Krishnakumar

Since Specialization
Citations

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

Fields of papers citing papers by P. Krishnakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Krishnakumar

This figure shows the co-authorship network connecting the top 25 collaborators of P. Krishnakumar. A scholar is included among the top collaborators of P. Krishnakumar 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. Krishnakumar. P. Krishnakumar 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.
Praveen, G., et al.. (2025). Development and optimization of tamarind seed starch-based edible coating for prolonging tomato shelf life. Journal of Food Measurement & Characterization. 19(11). 8212–8230.
2.
Giri, Supratim, P. Krishnakumar, & B. Venkataraman. (2025). Numerical and experimental investigation on machining of nickel based superalloy (Nimonic C263). Mechanics Based Design of Structures and Machines. 1–25.
3.
Krishnakumar, P., et al.. (2024). Exergetic characterization of flat plate solar collector using genetic algorithm. Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering. 1 indexed citations
4.
Rameshkumar, K., et al.. (2022). Establishing Statistical Correlation Between Sensor Signature Features and Lubricant Solid Particle Contamination in a Spur Gearbox. IEEE Access. 10. 106230–106247. 12 indexed citations
5.
Krishnakumar, P., et al.. (2020). Computational fluid dynamics analysis of flow in diffuser of a desiccant type air dryer. Materials Today Proceedings. 37. 1517–1523. 3 indexed citations
6.
Krishnakumar, P., et al.. (2020). CFD analysis and optimization of vane angle of cyclone separator. Materials Today Proceedings. 37. 537–541. 2 indexed citations
7.
Krishnakumar, P., K. Rameshkumar, & K.I. Ramachandran. (2020). Feature level fusion of vibration and acoustic emission signals in tool condition monitoring using machine learning classifiers. International Journal of Prognostics and Health Management. 9(1). 19 indexed citations
8.
Krishnakumar, P., et al.. (2020). Chatter Prediction in High Speed Machining of Titanium Alloy (Ti-6Al-4V) using Machine Learning Techniques. Materials Today Proceedings. 24. 350–358. 11 indexed citations
9.
Krishnakumar, P., et al.. (2020). Higher order block heuristics for 2D pallet loading problems with multiple box inputs. Materials Today Proceedings. 46. 4625–4633. 3 indexed citations
10.
Saimurugan, M., et al.. (2019). Fault Diagnosis of Gearbox using Machine Learning and Deep Learning Techniques. International Journal of Engineering and Advanced Technology. 9(1). 3940–3943. 1 indexed citations
11.
Krishnakumar, P., et al.. (2016). Finite Element Modelling and Residual Stress Prediction in End Milling of Ti6Al4Valloy. IOP Conference Series Materials Science and Engineering. 149. 12154–12154. 2 indexed citations
12.
Krishnakumar, P., et al.. (2016). Coupled PDE for Ultrasound Despeckling Using ENI Classification. Procedia Computer Science. 89. 658–665. 2 indexed citations
13.
Krishnakumar, P., K. Rameshkumar, & K.I. Ramachandran. (2015). Tool Wear Condition Prediction Using Vibration Signals in High Speed Machining (HSM) of Titanium (Ti-6Al-4V) Alloy. Procedia Computer Science. 50. 270–275. 70 indexed citations
14.
Saimurugan, M., Praveenkumar Thangavelu, P. Krishnakumar, & K.I. Ramachandran. (2015). A Study on the Classification Ability of Decision Tree and Support Vector Machine in Gearbox Fault Detection. Applied Mechanics and Materials. 813-814. 1058–1062. 5 indexed citations
15.
Pandiselvam, R., et al.. (2014). Moisture Dependent Engineering Properties of Onion Seeds. Journal of Agricultural Engineering (India). 51(2). 36–43. 14 indexed citations
16.
Krishnakumar, P.. (2014). Automatic Number Plate Recognition (ANPR) through smart Phones using Image Processing Techniques. IOSR Journal of VLSI and Signal processing. 4(4). 19–23. 2 indexed citations
17.
Pandiselvam, R., et al.. (2014). Moisture Dependent Engineering Properties of Onion Seeds. Journal of Agricultural Engineering (India). 51(2). 36–43. 8 indexed citations
18.
Thangavelu, Praveenkumar, M. Saimurugan, P. Krishnakumar, & K.I. Ramachandran. (2014). Fault Diagnosis of Automobile Gearbox Based on Machine Learning Techniques. Procedia Engineering. 97. 2092–2098. 91 indexed citations
19.
Krishnakumar, P., K. Marimuthu, K. Rameshkumar, & K.I. Ramachandran. (2013). Finite element simulation of effect of residual stresses during orthogonal machining using ALE approach. International Journal of Machining and Machinability of Materials. 14(3). 213–213. 29 indexed citations
20.
Krishnakumar, P., et al.. (2007). Frequency fine-tuning in Class IV flextensional transducers. Applied Acoustics. 68(10). 1280–1285. 10 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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