S. Balamurali

2.8k total citations
170 papers, 2.0k citations indexed

About

S. Balamurali is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Industrial and Manufacturing Engineering. According to data from OpenAlex, S. Balamurali has authored 170 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Statistics, Probability and Uncertainty, 62 papers in Statistics and Probability and 59 papers in Industrial and Manufacturing Engineering. Recurrent topics in S. Balamurali's work include Advanced Statistical Process Monitoring (114 papers), Industrial Vision Systems and Defect Detection (54 papers) and Optimal Experimental Design Methods (46 papers). S. Balamurali is often cited by papers focused on Advanced Statistical Process Monitoring (114 papers), Industrial Vision Systems and Defect Detection (54 papers) and Optimal Experimental Design Methods (46 papers). S. Balamurali collaborates with scholars based in India, South Korea and Pakistan. S. Balamurali's co-authors include Chi‐Hyuck Jun, M. Usha, Muhammad Aslam, P. Jeyadurga, Muhammad Azam, K. Govindaraju, J. Subramani, Kwang-Jae Kim, Jaewook Lee and Munir Ahmad and has published in prestigious journals such as Scientific Reports, European Journal of Operational Research and IEEE Access.

In The Last Decade

S. Balamurali

149 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Balamurali India 23 1.5k 809 706 636 224 170 2.0k
Amirhossein Amiri Iran 25 2.3k 1.5× 1.4k 1.7× 410 0.6× 222 0.3× 32 0.1× 171 2.7k
Changliang Zou China 34 2.7k 1.8× 2.2k 2.7× 334 0.5× 220 0.3× 29 0.1× 122 3.6k
Charles W. Champ United States 25 3.3k 2.1× 1.8k 2.2× 318 0.5× 143 0.2× 33 0.1× 52 3.5k
Yuehjen E. Shao Taiwan 16 329 0.2× 108 0.1× 135 0.2× 105 0.2× 4 0.0× 49 853
Zhaojun Wang China 28 2.0k 1.3× 1.4k 1.8× 223 0.3× 133 0.2× 23 0.1× 90 2.5k
H. S. Sii United Kingdom 11 223 0.1× 22 0.0× 300 0.4× 49 0.1× 71 0.3× 19 886
Roy E. Lave United States 7 469 0.3× 223 0.3× 191 0.3× 140 0.2× 38 0.2× 12 966
M. Mashinchi Iran 18 330 0.2× 563 0.7× 671 1.0× 105 0.2× 20 0.1× 88 1.3k
Zachary G. Stoumbos United States 23 1.5k 1.0× 751 0.9× 190 0.3× 136 0.2× 9 0.0× 33 1.7k
Sébastien Destercke France 19 138 0.1× 185 0.2× 384 0.5× 34 0.1× 66 0.3× 95 1.0k

Countries citing papers authored by S. Balamurali

Since Specialization
Citations

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

Fields of papers citing papers by S. Balamurali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Balamurali. A scholar is included among the top collaborators of S. Balamurali 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. Balamurali. S. Balamurali 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.
3.
Jeyadurga, P. & S. Balamurali. (2024). Determination and economic design of repetitive group sampling plan under two parameter Lindley distribution. Quality Technology & Quantitative Management. 22(3). 553–576. 1 indexed citations
4.
Jeyadurga, P., et al.. (2021). Determination of multiple deferred state repetitive group sampling plan for life time assurance under Birnbaum–Saunders distribution. Journal of Statistical Computation and Simulation. 92(1). 145–158. 5 indexed citations
5.
Jeyadurga, P., et al.. (2021). Economic design of repetitive group sampling plan based on truncated life test under exponentiated half logistic distribution. Quality Engineering. 33(2). 335–347. 7 indexed citations
6.
Aslam, Muhammad, S. Balamurali, P. Jeyadurga, & Muhammad Ali Raza. (2020). Monitoring number of non-conforming items based on multiple dependent state repetitive sampling under truncated life tests. Communication in Statistics- Theory and Methods. 51(17). 5806–5825. 4 indexed citations
7.
Jeyadurga, P., et al.. (2020). Economic design of repetitive group sampling plan based on truncated life test under Birnbaum–Saunders distribution. Communications in Statistics - Simulation and Computation. 51(12). 7334–7350. 20 indexed citations
8.
Balamurali, S., et al.. (2019). An improved Frequent Pattern Mining in Sustainable Learning Practice using Generalized Association Rules. International Journal of Innovative Technology and Exploring Engineering. 9(2S2). 776–780.
9.
Balamurali, S., et al.. (2019). Examination of Sugarcane Yield by Simulating Aqua Crop to Overcome the Irrigation Deficiency. International Journal of Recent Technology and Engineering (IJRTE). 8(4S2). 546–550. 2 indexed citations
10.
Balamurali, S., et al.. (2019). Automated Recognition of Diabetic Retinopathy using Machine Learning Techniques. International Journal of Recent Technology and Engineering (IJRTE). 8(4S2). 602–606.
11.
Balamurali, S.. (2018). Determination of a new sampling system based on exponentially weighted moving average. Sequential Analysis. 37(2). 158–173. 1 indexed citations
12.
Aslam, Muhammad, S. Balamurali, Chi‐Hyuck Jun, & Muhammad Ahmad. (2016). OPTIMAL DESIGNING OF A SKIP LOT SAMPLING PLAN BY TWO POINT METHOD. Open Access System for Information Sharing (Pohang University of Science and Technology). 4 indexed citations
13.
Aslam, Muhammad, et al.. (2016). An optimal design of a skip lot sampling plan of type V by minimizing average sample number. Open Access System for Information Sharing (Pohang University of Science and Technology). 2 indexed citations
14.
Aslam, Muhammad, S. Balamurali, Chi‐Hyuck Jun, & Muhammad Ahmad. (2016). A-NEW VARIABLES SAMPLING PLAN FOR LIFE TESTING IN A CONTINUOUS PROCESS UNDER WEIBULL DISTRIBUTION. Open Access System for Information Sharing (Pohang University of Science and Technology). 1 indexed citations
15.
Aslam, Muhammad, et al.. (2016). SkSP-V SAMPLING PLAN WITH GROUP SAMPLING PLAN AS REFERENCE BASED ON TRUNCATED LIFE TEST UNDER WEIBULL AND GENERALIZED EXPONENTIAL DISTRIBUTIONS. Open Access System for Information Sharing (Pohang University of Science and Technology).
16.
Balamurali, S., Muhammad Aslam, & Chi‐Hyuck Jun. (2014). A New System of Skip-Lot Sampling Plans including Resampling. The Scientific World JOURNAL. 2014. 1–6. 22 indexed citations
17.
Balamurali, S., Muhammad Aslam, & Mohammad Saber Fallah Nezhad. (2013). An Acceptance Sampling Plan under Frechet Distribution Assuring Median Life. Research Journal of Applied Sciences Engineering and Technology. 6(24). 4519–4523. 7 indexed citations
18.
Balamurali, S. & M. Usha. (2013). Optimal Designing of Variables Chain Sampling Plan by Minimizing the Average Sample Number. 2013. 1–12. 14 indexed citations
19.
Balamurali, S. & Chi‐Hyuck Jun. (2006). Average outgoing quality of CSP-C continuous sampling plan under short run production processes. Journal of Applied Statistics. 33(2). 139–154. 7 indexed citations
20.
Jun, Chi‐Hyuck, et al.. (2004). A Variables Repetitive Group Sampling Plan for Minimizing Average Sample Number. 30(3). 205–212. 6 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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