U. Natarajan

2.1k total citations
66 papers, 1.6k citations indexed

About

U. Natarajan is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, U. Natarajan has authored 66 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Mechanical Engineering, 33 papers in Electrical and Electronic Engineering and 19 papers in Biomedical Engineering. Recurrent topics in U. Natarajan's work include Advanced machining processes and optimization (41 papers), Advanced Machining and Optimization Techniques (32 papers) and Advanced Surface Polishing Techniques (18 papers). U. Natarajan is often cited by papers focused on Advanced machining processes and optimization (41 papers), Advanced Machining and Optimization Techniques (32 papers) and Advanced Surface Polishing Techniques (18 papers). U. Natarajan collaborates with scholars based in India, South Korea and United Kingdom. U. Natarajan's co-authors include S. Jayabal, M. Thiruchitrambalam, A. Athijayamani, S. Palani, Seung-Han Yang, V. Periasamy, S. Sathiyamurthy, Shih‐Hsien Yang, Shreyas Ananthan and R. Saravanan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials Science and Engineering A and The International Journal of Advanced Manufacturing Technology.

In The Last Decade

U. Natarajan

64 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
U. Natarajan India 21 1.0k 612 480 297 278 66 1.6k
T. Rajmohan India 24 1.7k 1.6× 265 0.4× 780 1.6× 419 1.4× 331 1.2× 72 2.1k
Mohammed Asmael Cyprus 23 765 0.7× 281 0.5× 230 0.5× 157 0.5× 452 1.6× 76 1.9k
Che Hassan Che Haron Malaysia 26 1.7k 1.6× 206 0.3× 900 1.9× 643 2.2× 339 1.2× 156 2.2k
R. Saravanan India 26 990 1.0× 354 0.6× 349 0.7× 562 1.9× 233 0.8× 191 2.0k
S. Sulaiman Malaysia 22 1.5k 1.4× 252 0.4× 177 0.4× 152 0.5× 358 1.3× 192 2.0k
B. Stalin India 29 1.8k 1.7× 434 0.7× 540 1.1× 392 1.3× 340 1.2× 128 2.5k
Ralf Schledjewski Austria 21 771 0.7× 317 0.5× 197 0.4× 144 0.5× 691 2.5× 103 1.4k
I. Rajendran India 19 1.1k 1.0× 701 1.1× 208 0.4× 212 0.7× 326 1.2× 42 1.7k
L. Karunamoorthy India 25 2.1k 2.0× 140 0.2× 1.1k 2.3× 811 2.7× 249 0.9× 73 2.5k
S. Kaliappan India 24 543 0.5× 635 1.0× 235 0.5× 308 1.0× 227 0.8× 181 1.7k

Countries citing papers authored by U. Natarajan

Since Specialization
Citations

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

Fields of papers citing papers by U. Natarajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of U. Natarajan

This figure shows the co-authorship network connecting the top 25 collaborators of U. Natarajan. A scholar is included among the top collaborators of U. Natarajan 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 U. Natarajan. U. Natarajan 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.
2.
Natarajan, U., et al.. (2023). Compliant damper development for vibration reduction in turning of aluminium. Multiscale and Multidisciplinary Modeling Experiments and Design. 7(2). 895–904.
3.
Natarajan, U., B. Suresh Kumar, R. Palanisamy, et al.. (2022). Quality and Tool Stability Improvement in Turning Operation Using Plastic Compliant Damper. Journal of Nanomaterials. 2022(1). 3 indexed citations
4.
Natarajan, U., B. Suresh Kumar, R. Palanisamy, et al.. (2022). Development of Compliant Vibration Isolation Damper and Its Performance Analysis in Turning Operation. Advances in Materials Science and Engineering. 2022. 1–9. 1 indexed citations
5.
Natarajan, U., et al.. (2021). Investigation on the tool worn surface morphology and machining characteristics of the Hardox steel using minimum quantity lubrication. International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde). 112(6). 486–497. 6 indexed citations
6.
Natarajan, U., et al.. (2020). Effect of rake angle and tool geometry during machining process of AISI 4340 steel in finite element approach. Materials Today Proceedings. 37. 3731–3736. 8 indexed citations
7.
Natarajan, U., et al.. (2019). Measurement of error in computer numerical control machines and optimization using teaching–learning-based optimization algorithm. SHILAP Revista de lepidopterología. 52(7-8). 929–937. 1 indexed citations
8.
Natarajan, U., et al.. (2016). Experimental Investigation on Boring Tool Vibration Control Using MR Fluid Damper. Journal of Advanced Manufacturing Systems. 15(1). 13–25. 12 indexed citations
9.
Ramabalan, S., et al.. (2015). Integration of DFE and DFMA for the sustainable development of an automotive component. International Journal of Sustainable Engineering. 9(2). 107–118. 28 indexed citations
10.
Natarajan, U., et al.. (2015). Modeling and Optimization of Tool Wear in a Passively Damped Boring process using Response Surface Methodology. Transactions of the Indian Institute of Metals. 69(7). 1443–1448. 9 indexed citations
11.
Jayabal, S. & U. Natarajan. (2011). Modelling and optimisation of thrust force, torque and tool wear in drilling of coir fibre reinforced composites using response surface method. International Journal of Machining and Machinability of Materials. 9(1/2). 149–149. 11 indexed citations
12.
Jayabal, S. & U. Natarajan. (2011). Drilling analysis of coir-fibre-reinforced polyester composites. Bulletin of Materials Science. 34(7). 1563–1567. 74 indexed citations
13.
Jayabal, S. & U. Natarajan. (2010). Effect of fibre length and fibre content on the mechanical properties of coir fiber/polyester composites. 52(4). 341–350. 3 indexed citations
14.
Jayabal, S. & U. Natarajan. (2010). Regression & neuro fuzzy models for prediction of thrust force and torque in drilling of glass fibre reinforced composites. Journal of Scientific & Industrial Research. 69(10). 741–745. 7 indexed citations
15.
Jayabal, S. & U. Natarajan. (2010). Influence of fiber parameters on tensile, flexural, and impact properties of nonwoven coir–polyester composites. The International Journal of Advanced Manufacturing Technology. 54(5-8). 639–648. 54 indexed citations
16.
Ramanathan, K., V. Periasamy, Malathy Pushpavanam, & U. Natarajan. (2009). Particle Swarm Optimisation of hardness in nickel diamond electro composites. Archives of Materials Science and Engineering. 1. 232–236. 7 indexed citations
17.
Jayabal, S., et al.. (2007). Optimization of tool wear in turning using genetic algorithm. Indian Journal of Engineering and Materials Sciences. 14(6). 403–407. 7 indexed citations
18.
Natarajan, U., et al.. (2006). A decision fusion algorithm for tool condition monitoring in drilling using Hidden Markov Model (HMM). Indian Journal of Engineering and Materials Sciences. 13(2). 103–109. 3 indexed citations
19.
Natarajan, U., V. Periasamy, & R. Saravanan. (2006). Application of particle swarm optimisation in artificial neural network for the prediction of tool life. The International Journal of Advanced Manufacturing Technology. 31(9-10). 871–876. 32 indexed citations
20.
Natarajan, U., V. Periasamy, & R. Saravanan. (2005). Application of particle swarm optimisation in artificial neural network for the prediction of tool life. The International Journal of Advanced Manufacturing Technology. 28(11-12). 1084–1088. 48 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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