M. Kanthababu

591 total citations
36 papers, 448 citations indexed

About

M. Kanthababu is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, M. Kanthababu has authored 36 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mechanical Engineering, 17 papers in Biomedical Engineering and 15 papers in Electrical and Electronic Engineering. Recurrent topics in M. Kanthababu's work include Advanced Surface Polishing Techniques (17 papers), Advanced machining processes and optimization (16 papers) and Advanced Machining and Optimization Techniques (15 papers). M. Kanthababu is often cited by papers focused on Advanced Surface Polishing Techniques (17 papers), Advanced machining processes and optimization (16 papers) and Advanced Machining and Optimization Techniques (15 papers). M. Kanthababu collaborates with scholars based in India, Malaysia and United States. M. Kanthababu's co-authors include M.S. Shunmugam, M. Prakash, D. Satishkumar, M. Singaperumal, Muthuramalingam Prakash, K. P. Rajurkar, A. Velayudham, Suchart Siengchin, M.N. Srinivasan and P. Senthamaraikannan and has published in prestigious journals such as Expert Systems with Applications, International Journal of Production Research and Industrial Crops and Products.

In The Last Decade

M. Kanthababu

35 papers receiving 423 citations

Peers

M. Kanthababu

EEE

IME

Mohinder Pal Garg India

Ömer Eyerci̇oğlu Türkiye

Basanta Kumar Nanda India

R. Adalarasan India

Lenin Nagarajan India

Xuanping Wang China

James B. Castle United States

Yu-Yu Yen United States

B. Surekha India

Ízaro Ayesta Spain

Mohinder Pal Garg India

M. Kanthababu

366 ×1.1

252 ×1.1

287 ×1.4

EEE

32 ×0.6

IME

79 ×1.5

Citations per year, relative to M. Kanthababu M. Kanthababu (= 1×) peers Mohinder Pal Garg

Countries citing papers authored by M. Kanthababu

Since Specialization

Citations

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

Fields of papers citing papers by M. Kanthababu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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20 of 20 papers shown

Kanthababu, M., et al.. (2024). Prediction of surface roughness and depth of cut in abrasive waterjet milling of alumina ceramic using Machine learning algorithms. Expert Systems with Applications. 246. 123168–123168. 27 indexed citations

Senthamaraikannan, P., et al.. (2024). Greening the composite industry: Evaluating Lantana camara Verbenaceae fiber as a promising substitute for lightweight polymer matrix composites. Industrial Crops and Products. 220. 119265–119265. 11 indexed citations

Kanthababu, M., et al.. (2024). Enhancing of compressive strength of grade M30 concrete using novel pumice with 50% silica fume and metakaolin comparing with conventional concrete. AIP conference proceedings. 3161. 20280–20280. 1 indexed citations

Prakash, M., et al.. (2020). Identification of tool wear status and correlation of chip morphology in micro-end milling of mild steel (SAE 1017) using acoustic emission signal. IOP Conference Series Materials Science and Engineering. 912(3). 32066–32066. 3 indexed citations

Kanthababu, M.. (2019). Development of sandwich panels combining aluminium powder-cement composites lightweight concrete. International journal of advance research, ideas and innovations in technology. 5(1). 49–52. 1 indexed citations

Shunmugam, M.S. & M. Kanthababu. (2019). Advances in Micro and Nano Manufacturing and Surface Engineering. 16 indexed citations

Kanthababu, M., et al.. (2016). Investigation on material removal rate and surface roughness in electrical discharge turning process of Al 7075-based metal matrix composites. International Journal of Manufacturing Technology and Management. 30(3/4). 216–216. 5 indexed citations

Kanthababu, M., et al.. (2015). Multi-objective optimisation in the microturning of cobalt chromium with coated and uncoated tools using the grey relational analysis. 5(1). 44–44. 3 indexed citations

Kanthababu, M., et al.. (2015). Generating complete disassembly sequences by utilising two-dimensional views. International Journal of Production Research. 53(17). 5118–5138. 19 indexed citations

10.

Kanthababu, M., et al.. (2015). EMISSIONS AND PERFORMANCE STUDY WITH SUNFLOWER METHYL ESTER AS DIESEL ENGINE FUEL. 3 indexed citations

11.

Kanthababu, M., et al.. (2014). Tool Condition Monitoring in Microturning of Aluminium Alloy Using Multiple Sensors. Applied Mechanics and Materials. 592-594. 796–800.

12.

Prakash, Muthuramalingam, et al.. (2014). Acoustic Emission Signal Analysis for Tool Condition Monitoring in Microendmilling of Aluminium Alloy. Advanced materials research. 984-985. 25–30. 3 indexed citations

13.

Prakash, Muthuramalingam, M. Kanthababu, & K. P. Rajurkar. (2014). Investigations on the effects of tool wear on chip formation mechanism and chip morphology using acoustic emission signal in the microendmilling of aluminum alloy. The International Journal of Advanced Manufacturing Technology. 77(5-8). 1499–1511. 27 indexed citations

14.

Kanthababu, M., et al.. (2014). Acoustic Emission Signal Analysis for Tool Condition Monitoring in Microturning of Titanium Alloy. Advanced materials research. 984-985. 31–36. 2 indexed citations

15.

Prakash, M. & M. Kanthababu. (2013). IN-PROCESS TOOL CONDITION MONITORING USING ACOUSTIC EMISSION SENSOR IN MICROENDMILLING. Machining Science and Technology. 17(2). 209–227. 34 indexed citations

16.

Satishkumar, D., et al.. (2012). Optimization of Wedm Parameters on Machining of Al7075 Based Hybrid MMCs. Advanced Composites Letters. 21(4). 4 indexed citations

17.

Satishkumar, D., et al.. (2011). Investigation of wire electrical discharge machining characteristics of Al6063/SiCp composites. The International Journal of Advanced Manufacturing Technology. 56(9-12). 975–986. 101 indexed citations

18.

Kanthababu, M., M.S. Shunmugam, & M. Singaperumal. (2010). Data mining approach for selection of plateau honing parameters with dual objectives. International Journal of Machining and Machinability of Materials. 8(1/2). 167–167. 6 indexed citations

19.

Kanthababu, M., M.S. Shunmugam, & M. Singaperumal. (2008). Tool condition monitoring in honing process using acoustic emission signals. International Journal of Automation and Control. 2(1). 99–99. 7 indexed citations

20.

Srinivasan, M.N., R.E. Goforth, & M. Kanthababu. (1992). Microstructural evaluation of a dynamically recrystallized superplastic aluminium-lithium alloy. Materials Characterization. 29(3). 397–406. 5 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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