J. Subramani

624 total citations
55 papers, 481 citations indexed

About

J. Subramani is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence. According to data from OpenAlex, J. Subramani has authored 55 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Statistics and Probability, 9 papers in Management Science and Operations Research and 6 papers in Artificial Intelligence. Recurrent topics in J. Subramani's work include Survey Sampling and Estimation Techniques (35 papers), Advanced Statistical Methods and Models (10 papers) and Statistical Distribution Estimation and Applications (9 papers). J. Subramani is often cited by papers focused on Survey Sampling and Estimation Techniques (35 papers), Advanced Statistical Methods and Models (10 papers) and Statistical Distribution Estimation and Applications (9 papers). J. Subramani collaborates with scholars based in India, United States and Cyprus. J. Subramani's co-authors include S. Balamurali, Sat Gupta, Sarjinder Singh, Subhash Kumar Yadav and Alok Kumar Shukla and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biometrical Journal and Journal of Applied Statistics.

In The Last Decade

J. Subramani

49 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. Subramani India	13	403	70	46	40	32	55	481
Walid Abu‐Dayyeh Jordan	11	401 1.0×	260 3.7×	43 0.9×	27 0.7×	5 0.2×	27	477
Nirian Martín Spain	11	335 0.8×	90 1.3×	62 1.3×	34 0.8×	2 0.1×	56	410
K. R. Nair India	9	117 0.3×	47 0.7×	50 1.1×	17 0.4×	6 0.2×	34	191
Aamir Sanaullah Pakistan	9	258 0.6×	93 1.3×	11 0.2×	22 0.6×	10 0.3×	50	304
Usman Shahzad Pakistan	14	508 1.3×	54 0.8×	18 0.4×	38 0.9×	1 0.0×	65	566
Alessandro Barbiero Italy	10	183 0.5×	72 1.0×	42 0.9×	63 1.6×	1 0.0×	46	267
Nadia Hashim Al-Noor Iraq	12	272 0.7×	64 0.9×	17 0.4×	24 0.6×		49	334
Sanaa Al-Marzouki Saudi Arabia	9	158 0.4×	89 1.3×	24 0.5×	22 0.6×		30	274
Lyn R. Whitaker United States	11	258 0.6×	98 1.4×	60 1.3×	67 1.7×	8 0.3×	26	350
M. N. Murthy India	5	303 0.8×	28 0.4×	13 0.3×	69 1.7×	3 0.1×	15	373

Countries citing papers authored by J. Subramani

Since Specialization

Citations

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

Fields of papers citing papers by J. Subramani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Subramani

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

Subramani, J.. (2018). Construction and analysis of Sudoku square designs with rectangles. Biometrics & Biostatistics International Journal. 7(5). 1 indexed citations

Subramani, J., et al.. (2018). Ratio cum Median Based Modified Ratio Estimators with Known First and Third Quartiles. 5(1). 1–6.

Subramani, J., et al.. (2017). Improved Ratio cum Product Estimators for Finite Population Mean with Known Quartiles and Their Functions. 2(1). 1–7. 2 indexed citations

Yadav, Subhash Kumar, et al.. (2016). Improved Ratio-Cum-Product Estimators of Population Mean Using Known Population Parameters of Auxiliary Variables. 6(2). 48–54.

Subramani, J.. (2016). A new median based ratio estimator for estimation of the finite population mean. Statistics in Transition New Series. 17(4). 591–604. 1 indexed citations

Subramani, J. & S. Balamurali. (2016). A Modified Single Sampling Plan for the Inspection of Attribute Quality Characteristics. Industrial Engineering & Management Systems. 15(1). 41–48. 4 indexed citations

Subramani, J., et al.. (2015). MEDIAN BASED MODIFIED RATIO ESTIMATORS WITH KNOWN SKEWNESS AND CORRELATION COEFFICIENT FOR THE ESTIMATION OF FINITE POPULATION MEAN. 15–23. 1 indexed citations

Subramani, J., et al.. (2014). Median Based Modified Ratio Estimators with Known Quartiles of an Auxiliary Variable. Journal of Modern Applied Statistical Methods. 13(1). 234–254. 4 indexed citations

Subramani, J., et al.. (2014). Two Parameter Modified Ratio Estimators with Two Auxiliary Variables for Estimation of Finite Population Mean with Known Skewness, Kurtosis and Correlation Coefficient. Journal of Modern Applied Statistical Methods. 13(1). 199–222. 1 indexed citations

10.

Subramani, J., et al.. (2014). MEDIAN BASED MODIFIED RATIO ESTIMATORS WITH LINEAR COMBINATIONS OF POPULATION MEAN AND MEDIAN OF AN AUXILIARY VARIABLE. 1–10. 3 indexed citations

11.

Subramani, J.. (2013). Generalized Modified Ratio Estimator for Estimation of Finite Population Mean. Journal of Modern Applied Statistical Methods. 12(2). 121–155. 15 indexed citations

12.

Subramani, J., et al.. (2013). Estimation of Variance Using Known Coefficient of Variation and Median of an Auxiliary Variable. Journal of Modern Applied Statistical Methods. 12(1). 58–64. 24 indexed citations

13.

Subramani, J., et al.. (2013). Estimation of finite population mean using deciles of an auxiliary variable. Statistics in Transition New Series. 14(1). 75–88. 6 indexed citations

14.

Subramani, J.. (2013). Construction and analysis of orthogonal (Graeco) Sudoku square designs. Model Assisted Statistics and Applications. 8(3). 239–246. 2 indexed citations

15.

Subramani, J.. (2013). A Further Modification on Linear Systematic Sampling for Finite Populations. Journal of Statistical Theory and Practice. 7(3). 471–479. 5 indexed citations

16.

Subramani, J., et al.. (2012). Estimation of Population Mean Using Co-Efficient of Variation and Median of an Auxiliary Variable. 1(4). 111–118. 27 indexed citations

17.

Subramani, J., et al.. (2012). Control Charts for Variables with Specified Process Capability Indices. 1(4). 101–110. 7 indexed citations

18.

Subramani, J.. (2012). Modified Ratio Estimators for Population Mean Using Function of Quartiles of Auxiliary Variable. 2(2). 19–23. 21 indexed citations

19.

Subramani, J., et al.. (2012). Variance Estimation Using Median of the Auxiliary Variable. 1(3). 36–40. 44 indexed citations

20.

Subramani, J., et al.. (1992). Estimation of Design and Genetic Components of Variance in Double Cross Mating Designs. Biometrical Journal. 34(3). 297–314. 3 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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