S. Ravikumar

403 total citations
15 papers, 298 citations indexed

About

S. Ravikumar is a scholar working on Mechanical Engineering, Control and Systems Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, S. Ravikumar has authored 15 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mechanical Engineering, 6 papers in Control and Systems Engineering and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in S. Ravikumar's work include Advanced machining processes and optimization (6 papers), Industrial Vision Systems and Defect Detection (6 papers) and Machine Fault Diagnosis Techniques (5 papers). S. Ravikumar is often cited by papers focused on Advanced machining processes and optimization (6 papers), Industrial Vision Systems and Defect Detection (6 papers) and Machine Fault Diagnosis Techniques (5 papers). S. Ravikumar collaborates with scholars based in India and United Kingdom. S. Ravikumar's co-authors include K.I. Ramachandran, V. Sugumaran, V.S. Muralidharan, M. Elangovan, Dinesh Kumar and R Gowtham and has published in prestigious journals such as Expert Systems with Applications, SAE technical papers on CD-ROM/SAE technical paper series and Measurement.

In The Last Decade

S. Ravikumar

13 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Ravikumar India	8	173	110	96	65	34	15	298
Wentie Niu China	10	121 0.7×	86 0.8×	133 1.4×	20 0.3×	35 1.0×	33	307
Hongdi Zhou China	11	222 1.3×	80 0.7×	202 2.1×	87 1.3×	20 0.6×	27	369
Gengxiang Chen China	10	227 1.3×	109 1.0×	46 0.5×	78 1.2×	13 0.4×	22	336
J. Patrick Spicer United States	9	280 1.6×	106 1.0×	56 0.6×	64 1.0×	12 0.4×	18	437
Shanben Chen China	13	305 1.8×	127 1.2×	47 0.5×	52 0.8×	75 2.2×	26	389
Thomas E. McLeay United Kingdom	10	218 1.3×	145 1.3×	43 0.4×	102 1.6×	7 0.2×	19	319
Guoying Meng China	11	248 1.4×	50 0.5×	211 2.2×	48 0.7×	12 0.4×	65	409
Song Huang China	11	257 1.5×	63 0.6×	31 0.3×	20 0.3×	9 0.3×	41	417
Zubair Amjad Germany	6	98 0.6×	32 0.3×	150 1.6×	102 1.6×	15 0.4×	15	304

Countries citing papers authored by S. Ravikumar

Since Specialization

Citations

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

Fields of papers citing papers by S. Ravikumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Ravikumar

This figure shows the co-authorship network connecting the top 25 collaborators of S. Ravikumar. A scholar is included among the top collaborators of S. Ravikumar 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 S. Ravikumar. S. Ravikumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Ravikumar, S., et al.. (2025). Application of machine learning for fault diagnosis and operational efficiency in EV motor test benches using vibration analysis. Engineering Research Express. 7(1). 15355–15355. 1 indexed citations

Ravikumar, S., et al.. (2025). A Comparative Study on Fault Diagnosis of Electrical Vehicle Motor Testing Machine Gear Components Using Machine Learning Algorithms. SAE technical papers on CD-ROM/SAE technical paper series. 1.

Kumar, Dinesh, et al.. (2025). Continuous wavelet transform based face milling tool condition classification using support vector machine and K-star algorithm–a comparative study. International Journal on Interactive Design and Manufacturing (IJIDeM). 19(9). 6373–6389. 1 indexed citations

Ravikumar, S., et al.. (2025). A Comparative Analysis of Fault Diagnosis by Vibration Signals for Critical Gear Components in Electric Vehicle Motor Testing Machines Using Machine Learning Algorithms. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations

Muralidharan, V.S., et al.. (2022). Fault Classification of Face Milling Tool Using Vibration Signals and Histogram Features – A Machine Learning Approach. SAE technical papers on CD-ROM/SAE technical paper series. 1. 3 indexed citations

Muralidharan, V.S., et al.. (2022). Effect of k-Nearest Neighbours (k-NN) in Classifying Planetary Gearbox Faults Using Statistical Features. SAE technical papers on CD-ROM/SAE technical paper series. 4 indexed citations

Muralidharan, V.S., et al.. (2021). Fault Classification using Fuzzy Logic in an Epicyclic Gearbox with Statistical Features. SAE technical papers on CD-ROM/SAE technical paper series. 2 indexed citations

Kumar, Dinesh, V.S. Muralidharan, & S. Ravikumar. (2021). Histogram as features for fault detection of multi point cutting tool – A data driven approach. Applied Acoustics. 186. 108456–108456. 20 indexed citations

Ravikumar, S., et al.. (2020). Multi-component fault diagnosis of Self Aligning Troughing Roller (SATR) in belt conveyor system using decision tree: A statistical approach. FME Transaction. 48(2). 364–371. 15 indexed citations

10.

Ravikumar, S., et al.. (2020). A layered approach to detect elephants in live surveillance video streams using convolution neural networks. Journal of Intelligent & Fuzzy Systems. 38(5). 6291–6298. 7 indexed citations

11.

Ravikumar, S. & K.I. Ramachandran. (2018). Tool Wear Monitoring of Multipoint Cutting Tool using Sound Signal Features Signals with Machine Learning Techniques. Materials Today Proceedings. 5(11). 25720–25729. 27 indexed citations

12.

Ravikumar, S., et al.. (2018). Fault diagnosis of self-aligning troughing rollers in belt conveyor system using k-star algorithm. Measurement. 133. 341–349. 37 indexed citations

13.

Muralidharan, V.S., et al.. (2014). Condition monitoring of Self aligning carrying idler (SAI) in belt-conveyor system using statistical features and decision tree algorithm. Measurement. 58. 274–279. 24 indexed citations

14.

Elangovan, M., V. Sugumaran, K.I. Ramachandran, & S. Ravikumar. (2011). Effect of SVM kernel functions on classification of vibration signals of a single point cutting tool. Expert Systems with Applications. 38(12). 15202–15207. 65 indexed citations

15.

Ravikumar, S., K.I. Ramachandran, & V. Sugumaran. (2010). Machine learning approach for automated visual inspection of machine components. Expert Systems with Applications. 38(4). 3260–3266. 91 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.

Explore authors with similar magnitude of impact