M. Elangovan

831 total citations
28 papers, 622 citations indexed

About

M. Elangovan is a scholar working on Mechanical Engineering, Control and Systems Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, M. Elangovan has authored 28 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mechanical Engineering, 10 papers in Control and Systems Engineering and 10 papers in Industrial and Manufacturing Engineering. Recurrent topics in M. Elangovan's work include Advanced machining processes and optimization (11 papers), Industrial Vision Systems and Defect Detection (7 papers) and Advanced Measurement and Metrology Techniques (4 papers). M. Elangovan is often cited by papers focused on Advanced machining processes and optimization (11 papers), Industrial Vision Systems and Defect Detection (7 papers) and Advanced Measurement and Metrology Techniques (4 papers). M. Elangovan collaborates with scholars based in India, United States and Ethiopia. M. Elangovan's co-authors include V. Sugumaran, K.I. Ramachandran, N.R. Sakthivel, Binoy B. Nair, S. Ravikumar, Priya Velayutham, Sudhakar Sengan, Roy Setiawan, Dilip Kumar Sharma and Naveen Venkatesh Sridharan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sustainable Energy Technologies and Assessments.

In The Last Decade

M. Elangovan

25 papers receiving 591 citations

Peers

M. Elangovan
M. Elangovan
Citations per year, relative to M. Elangovan M. Elangovan (= 1×) peers Yongjie Zhai

Countries citing papers authored by M. Elangovan

Since Specialization
Citations

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

Fields of papers citing papers by M. Elangovan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Elangovan

This figure shows the co-authorship network connecting the top 25 collaborators of M. Elangovan. A scholar is included among the top collaborators of M. Elangovan 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 M. Elangovan. M. Elangovan 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.
Elangovan, M., et al.. (2025). Influence of silane coupling treatment on friction and wear properties of polymeric composites reinforced with nano-ZnO particles. AIP conference proceedings. 3270. 20255–20255. 1 indexed citations
2.
Elangovan, M., et al.. (2023). Intrusion Detection System in Industrial Cyber-Physical System Using Clustered Federated Learning. SN Computer Science. 4(5). 6 indexed citations
3.
Sridharan, Naveen Venkatesh, et al.. (2022). Transfer Learning-Based Condition Monitoring of Single Point Cutting Tool. Computational Intelligence and Neuroscience. 2022. 1–14. 22 indexed citations
4.
Sridharan, Naveen Venkatesh, et al.. (2022). Misfire Detection in Spark Ignition Engine Using Transfer Learning. Computational Intelligence and Neuroscience. 2022. 1–13. 15 indexed citations
5.
Elangovan, M., et al.. (2022). Network attack classification using LSTM with XGBoost feature selection. Journal of Intelligent & Fuzzy Systems. 43(1). 971–984. 7 indexed citations
6.
Elangovan, M., et al.. (2021). A RELOOK ON THE FLOURISHING HORSE TRADE AND CONSTANT IMPORTATIONS OF THE TAMILS. 6(1). 1 indexed citations
7.
Sengan, Sudhakar, et al.. (2021). Migrating from traditional grid to smart grid in smart cities promoted in developing country. Sustainable Energy Technologies and Assessments. 45. 101125–101125. 73 indexed citations
8.
Elangovan, M., et al.. (2018). Design of flexible spot welding cell for Body-In-White (BIW) assembly. Periodicals of Engineering and Natural Sciences (PEN). 6(2). 23–23.
9.
Elangovan, M., et al.. (2018). Study on Effect of Post Processing on Direct Metal LASER Sintered 420 Stainless steel Infiltrated with Bronze. Materials Today Proceedings. 5(11). 24476–24485. 5 indexed citations
10.
Elangovan, M., et al.. (2017). Comparison of Surface Roughness Prediction with Regression and Tree Based Regressions During Boring Operation. Indonesian Journal of Electrical Engineering and Computer Science. 7(3). 887–887. 2 indexed citations
11.
Sakthivel, N.R., et al.. (2016). EFFECT OF KERNEL FUNCTION IN SUPPORT VECTOR MACHINE FOR THE FAULT DIAGNOSIS OF PUMP. SHILAP Revista de lepidopterología. 5 indexed citations
12.
Sugumaran, V., et al.. (2016). Performance of Logistic Model Tree Classifier using Statistical Features for Fault Diagnosis of Single Point Cutting Tool. Indian Journal of Science and Technology. 9(47). 2 indexed citations
13.
Sugumaran, V., et al.. (2015). Condition monitoring of single point cutting tool using arma features and SVM classifiers. International Journal of Applied Engineering Research. 10. 1 indexed citations
14.
Elangovan, M., et al.. (2015). Condition monitoring of a valve in a reciprocating compressor using machine learning approach. International Journal of Applied Engineering Research. 10. 1 indexed citations
15.
Elangovan, M., et al.. (2015). Machine Learning Approach to the Prediction of Surface Roughness Using Statistical Features of Vibration Signal Acquired in Turning. Procedia Computer Science. 50. 282–288. 60 indexed citations
16.
Sakthivel, N.R., et al.. (2014). Comparison of dimensionality reduction techniques for the fault diagnosis of mono block centrifugal pump using vibration signals. Engineering Science and Technology an International Journal. 17(1). 30–38. 62 indexed citations
17.
Elangovan, M., et al.. (2013). Tool condition monitoring using K-star algorithm. Expert Systems with Applications. 41(6). 2638–2643. 89 indexed citations
18.
Elangovan, M., et al.. (2010). Evaluation of expert system for condition monitoring of a single point cutting tool using principle component analysis and decision tree algorithm. Expert Systems with Applications. 38(4). 4450–4459. 83 indexed citations
19.
Elangovan, M., K.I. Ramachandran, & V. Sugumaran. (2009). Studies on Bayes classifier for condition monitoring of single point carbide tipped tool based on statistical and histogram features. Expert Systems with Applications. 37(3). 2059–2065. 73 indexed citations
20.
Elangovan, M., et al.. (2008). Cfd Simulation And Validation Of Flap Type Wave-Maker. Zenodo (CERN European Organization for Nuclear Research). 2(10). 708–714. 33 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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