M. Usha

499 total citations
27 papers, 396 citations indexed

About

M. Usha is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, M. Usha has authored 27 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics, Probability and Uncertainty, 12 papers in Management Science and Operations Research and 12 papers in Statistics and Probability. Recurrent topics in M. Usha's work include Advanced Statistical Process Monitoring (21 papers), Optimal Experimental Design Methods (12 papers) and Statistical Distribution Estimation and Applications (10 papers). M. Usha is often cited by papers focused on Advanced Statistical Process Monitoring (21 papers), Optimal Experimental Design Methods (12 papers) and Statistical Distribution Estimation and Applications (10 papers). M. Usha collaborates with scholars based in India, Netherlands and United States. M. Usha's co-authors include S. Balamurali, P. Jeyadurga and M. Venkatesulu and has published in prestigious journals such as Journal of the Operational Research Society, The International Journal of Advanced Manufacturing Technology and International Journal of Quality & Reliability Management.

In The Last Decade

M. Usha

27 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Usha India 13 308 153 147 136 60 27 396
Darko Louit Chile 7 91 0.3× 44 0.3× 37 0.3× 20 0.1× 198 3.3× 10 299
Daniel J. Davis United States 6 129 0.4× 182 1.2× 35 0.2× 6 0.0× 116 1.9× 12 385
Guanqi Fang United States 7 140 0.5× 137 0.9× 10 0.1× 9 0.1× 226 3.8× 15 310
William Fauriat France 4 224 0.7× 9 0.1× 68 0.5× 5 0.0× 73 1.2× 8 314
Shuen‐Tai Ung Taiwan 10 348 1.1× 3 0.0× 72 0.5× 42 0.3× 41 0.7× 16 487
Florent Brissaud France 7 95 0.3× 18 0.1× 3 0.0× 20 0.1× 149 2.5× 26 283
Hyo-Nam Cho South Korea 9 99 0.3× 8 0.1× 117 0.8× 6 0.0× 57 0.9× 15 390
J. Soszyńska Poland 9 99 0.3× 4 0.0× 8 0.1× 19 0.1× 114 1.9× 29 221
Anjana Meel United States 7 259 0.8× 5 0.0× 14 0.1× 8 0.1× 76 1.3× 9 331
Van Uu Nguyen Australia 8 22 0.1× 9 0.1× 115 0.8× 7 0.1× 186 3.1× 14 378

Countries citing papers authored by M. Usha

Since Specialization
Citations

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

Fields of papers citing papers by M. Usha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of M. Usha. A scholar is included among the top collaborators of M. Usha 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. Usha. M. Usha 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.
Usha, M. & S. Balamurali. (2021). Economic Design of Quick Switching Sampling System for Resubmitted Lots under Gamma-Poisson Distribution. American Journal of Mathematical and Management Sciences. 41(1). 24–37. 5 indexed citations
3.
Balamurali, S., P. Jeyadurga, M. Usha, & M. Venkatesulu. (2018). Optimal Designing of Chain Sampling Plan for Weibull Distributed Percentile Life Assurance. 29(1). 94–105. 2 indexed citations
4.
Balamurali, S. & M. Usha. (2018). Determination of an efficient variables sampling system based on the Taguchi process capability index. Journal of the Operational Research Society. 70(3). 420–432. 26 indexed citations
5.
Jeyadurga, P., M. Usha, & S. Balamurali. (2018). Modified chain sampling plan for assuring percentile life under Weibull distribution and generalized exponential distribution. International Journal of Quality & Reliability Management. 35(9). 1989–2005. 2 indexed citations
6.
Balamurali, S., P. Jeyadurga, & M. Usha. (2018). Optimal design of repetitive group sampling plans for Weibull and gamma distributions with applications and comparison to the Birnbaum–Saunders distribution. Journal of Applied Statistics. 45(14). 2499–2520. 20 indexed citations
7.
Usha, M. & S. Balamurali. (2018). Economic design of quick switching sampling system for resubmitted lots. Communication in Statistics- Theory and Methods. 48(16). 4019–4033. 13 indexed citations
8.
Balamurali, S., P. Jeyadurga, & M. Usha. (2018). Determination of optimal quick switching system with varying sample size for assuring mean life under Weibull distribution. Sequential Analysis. 37(2). 222–234. 4 indexed citations
9.
Balamurali, S., P. Jeyadurga, & M. Usha. (2017). Optimal Designing of a Multiple Deferred State Sampling Plan for Weibull Distributed Life Time Assuring Mean Life. American Journal of Mathematical and Management Sciences. 36(2). 150–161. 18 indexed citations
10.
Balamurali, S. & M. Usha. (2017). A new mixed repetitive group sampling plan based on the process capability index for product acceptance. International Journal of Quality & Reliability Management. 35(2). 463–480. 11 indexed citations
11.
Balamurali, S., P. Jeyadurga, & M. Usha. (2017). Optimal designing of quick switching sampling system assuring percentile life under Weibull distribution. Communications in Statistics - Simulation and Computation. 47(5). 1550–1563. 5 indexed citations
12.
Balamurali, S., P. Jeyadurga, & M. Usha. (2017). Economic design of quick switching sampling system for assuring Weibull distributed mean life. Communication in Statistics- Theory and Methods. 47(2). 385–398. 21 indexed citations
13.
Balamurali, S. & M. Usha. (2016). Developing and designing of an efficient variables sampling system based on the process capability index. Journal of Statistical Computation and Simulation. 87(7). 1401–1415. 18 indexed citations
14.
Usha, M. & S. Balamurali. (2016). Designing of a mixed-chain sampling plan based on the process capability index with chain sampling as the attributes plan. Communication in Statistics- Theory and Methods. 46(21). 10456–10475. 4 indexed citations
15.
Balamurali, S. & M. Usha. (2016). Designing of variables quick switching sampling system by considering process loss functions. Communication in Statistics- Theory and Methods. 46(5). 2299–2314. 12 indexed citations
16.
Balamurali, S. & M. Usha. (2015). Developing of a new system of skip-lot reinspection schemes. Communications in Statistics - Simulation and Computation. 46(2). 1481–1491. 6 indexed citations
17.
Balamurali, S., P. Jeyadurga, & M. Usha. (2015). Designing of Bayesian Multiple Deferred State Sampling Plan Based on Gamma–Poisson Distribution. American Journal of Mathematical and Management Sciences. 35(1). 77–90. 36 indexed citations
18.
Balamurali, S. & M. Usha. (2014). Optimal designing of variables quick switching system based on the process capability indexCpk. Journal of Industrial and Production Engineering. 31(2). 85–94. 22 indexed citations
19.
Balamurali, S. & M. Usha. (2013). Optimal Designing of Variables Chain Sampling Plan by Minimizing the Average Sample Number. 2013. 1–12. 14 indexed citations
20.
Balamurali, S. & M. Usha. (2012). VARIABLES QUICK SWITCHING SYSTEM WITH DOUBLE SPECIFICATION LIMITS. International Journal of Reliability Quality and Safety Engineering. 19(2). 1250008–1250008. 23 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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