S. Muthu

574 total citations
25 papers, 429 citations indexed

About

S. Muthu is a scholar working on Management Information Systems, Mechanical Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, S. Muthu has authored 25 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Information Systems, 8 papers in Mechanical Engineering and 7 papers in Industrial and Manufacturing Engineering. Recurrent topics in S. Muthu's work include Quality and Supply Management (11 papers), Advanced machining processes and optimization (6 papers) and Advanced Machining and Optimization Techniques (5 papers). S. Muthu is often cited by papers focused on Quality and Supply Management (11 papers), Advanced machining processes and optimization (6 papers) and Advanced Machining and Optimization Techniques (5 papers). S. Muthu collaborates with scholars based in India. S. Muthu's co-authors include S.R. Devadasan, Kathiravan Srinivasan, V.R. Pramod, C. P. Natarajan, G. Sundararaj, Ravi Sankaran, V P Jagathy Raj, Kabilan Elangovan, V. Selladurai and Suresh Kumar Goyal and has published in prestigious journals such as The International Journal of Advanced Manufacturing Technology, Production Planning & Control and International Journal of Quality & Reliability Management.

In The Last Decade

S. Muthu

20 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. Muthu India	12	200	169	113	99	75	25	429
Nikhil Dev India	9	116 0.6×	124 0.7×	41 0.4×	32 0.3×	51 0.7×	24	340
Ismail W. R. Taifa Tanzania	11	155 0.8×	134 0.8×	32 0.3×	220 2.2×	15 0.2×	48	503
Miha Pipan Slovenia	8	88 0.4×	75 0.4×	49 0.4×	131 1.3×	12 0.2×	13	347
Boppana V. Chowdary Trinidad and Tobago	9	100 0.5×	93 0.6×	48 0.4×	168 1.7×	17 0.2×	51	354
Tai-Lin Chiang Taiwan	10	73 0.4×	62 0.4×	55 0.5×	119 1.2×	53 0.7×	15	307
Hana Pačaiová Slovakia	11	57 0.3×	82 0.5×	49 0.4×	60 0.6×	17 0.2×	34	273
D. G. Mahto India	9	56 0.3×	55 0.3×	60 0.5×	98 1.0×	28 0.4×	27	282
Shailendra Kumar India	12	55 0.3×	59 0.3×	69 0.6×	170 1.7×	18 0.2×	39	375
R I McIntosh United Kingdom	13	243 1.2×	105 0.6×	47 0.4×	265 2.7×	12 0.2×	27	477
V.I. Vitanov United Kingdom	10	143 0.7×	101 0.6×	336 3.0×	85 0.9×	12 0.2×	19	609

Countries citing papers authored by S. Muthu

Since Specialization

Citations

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

Fields of papers citing papers by S. Muthu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Muthu. A scholar is included among the top collaborators of S. Muthu 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. Muthu. S. Muthu 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

Muthu, S., et al.. (2025). Smart solution for railways using IoT. AIP conference proceedings. 3159. 20044–20044.

Muthu, S., et al.. (2025). Blockchain-enabled agri-goods tracing and cryptocurrency payment in supply chain management. AIP conference proceedings. 3266. 20008–20008.

Muthu, S., et al.. (2025). AI-Powered Predictive Digital Twin Platforms for Secure Software-Defined IoT Networks. International Journal of Computational and Experimental Science and Engineering. 11(3).

Srinivasan, Kathiravan, et al.. (2016). Six Sigma through DMAIC phases: a literature review. International Journal of Productivity and Quality Management. 17(2). 236–236. 26 indexed citations

Srinivasan, Kathiravan, et al.. (2014). Reduction of Paint line Defects in Shock Absorber Through Six Sigma DMAIC Phases. Procedia Engineering. 97. 1755–1764. 31 indexed citations

Muthu, S., et al.. (2014). Prediction of surface roughness of end milling operation using genetic algorithm. The International Journal of Advanced Manufacturing Technology. 77(1-4). 369–381. 65 indexed citations

Muthu, S., et al.. (2014). Integration of QFD and AHP with TPM: an implementation study in an automotive accessories manufacturing company. International Journal of Productivity and Quality Management. 14(3). 263–263. 6 indexed citations

Srinivasan, Kathiravan, et al.. (2014). Enhancing Effectiveness of Shell and Tube Heat Exchanger through Six Sigma DMAIC Phases. Procedia Engineering. 97. 2064–2071. 30 indexed citations

Muthu, S., et al.. (2013). A CLOUD COMPUTING METHODOLOGY FOR INDUSTRIAL AUTOMATION AND MANUFACTURING EXECUTION SYSTEM. 8 indexed citations

10.

Muthu, S., et al.. (2013). Continuous maintenance quality improvement using analytic maintenance quality function deployment technique. International Journal of Services and Operations Management. 14(4). 509–509. 4 indexed citations

11.

Natarajan, C. P., et al.. (2011). Investigation of cutting parameters of surface roughness for a non-ferrous material using artificial neural network in CNC turning. 3(1). 1–14. 11 indexed citations

12.

Muthu, S., et al.. (2011). From TPM to analytic maintenance quality function deployment: a literature journey via QFD and AHP. International Journal of Indian Culture and Business Management. 4(4). 390–390. 6 indexed citations

13.

Natarajan, C. P., et al.. (2010). Investigations on surface characteristics over an Aluminium alloy in CNC turning operation. International Journal of Knowledge-based and Intelligent Engineering Systems. 14(4). 241–256. 2 indexed citations

14.

Pramod, V.R., S.R. Devadasan, S. Muthu, & V P Jagathy Raj. (2006). MQFD: a model for synergising TPM and QFD. International Journal of Process Management and Benchmarking. 1(2). 176–176. 10 indexed citations

15.

Pramod, V.R., et al.. (2006). Integrating TPM and QFD for improving quality in maintenance engineering. Journal of Quality in Maintenance Engineering. 12(2). 150–171. 54 indexed citations

16.

Elangovan, Kabilan, V. Selladurai, S.R. Devadasan, Suresh Kumar Goyal, & S. Muthu. (2006). Quality and productivity improvement of executive decisions in maintenance engineering: an ESS-based approach. International Journal of Productivity and Quality Management. 2(1). 112–112. 13 indexed citations

17.

Devadasan, S.R., et al.. (2003). Design of total failure mode and effects analysis programme. International Journal of Quality & Reliability Management. 20(5). 551–568. 21 indexed citations

18.

Muthu, S., et al.. (2001). Pre‐auditing through a knowledge base system for successful implementation of a QS 9000 based maintenance quality system. Journal of Quality in Maintenance Engineering. 7(2). 90–104. 17 indexed citations

19.

Muthu, S., et al.. (2000). Benchmarking for strategic maintenance quality improvement. Benchmarking An International Journal. 7(4). 292–303. 35 indexed citations

20.

Sundararaj, G., P. Aravindan, S.R. Devadasan, & S. Muthu. (2000). Risk prevention and management in blast furnace operation through mock drill exercise. Production Planning & Control. 11(2). 197–206. 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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