Countries citing papers authored by Subhash Kumar Yadav
Since
Specialization
Citations
This map shows the geographic impact of Subhash Kumar Yadav'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 Subhash Kumar Yadav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhash Kumar Yadav more than expected).
Fields of papers citing papers by Subhash Kumar Yadav
This network shows the impact of papers produced by Subhash Kumar Yadav. 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 Subhash Kumar Yadav. The network helps show where Subhash Kumar Yadav may publish in the future.
Co-authorship network of co-authors of Subhash Kumar Yadav
This figure shows the co-authorship network connecting the top 25 collaborators of Subhash Kumar Yadav.
A scholar is included among the top collaborators of Subhash Kumar Yadav 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 Subhash Kumar Yadav. Subhash Kumar Yadav is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gupta, Rajesh Kumar & Subhash Kumar Yadav. (2018). Improved Estimation of Population Mean Using Information on Size of the Sample. 8(2). 27–35.9 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.
9.
Yadav, Subhash Kumar, et al.. (2016). Use of Correlation Coefficient and Quartiles of Auxiliary Variable for Improved Estimation of Population Variance. 6(2). 33–39.2 indexed citations
10.
Yadav, Subhash Kumar, et al.. (2016). Use of Non-Conventional Measures of Dispersion for Improved Estimation of Population Mean. 6(3). 69–75.2 indexed citations
11.
Yadav, Subhash Kumar, et al.. (2016). Efficient Estimator for Population Variance Using Auxiliary Variable. 6(1). 9–15.6 indexed citations
12.
Yadav, Subhash Kumar, et al.. (2015). Developing Improved Predictive Estimator for Finite Population Mean Using Auxiliary Information. SHILAP Revista de lepidopterología.8 indexed citations
13.
Yadav, Subhash Kumar, et al.. (2015). Improved Dual to Ratio Cum Dual to Product Estimator in the Stratified Random Sampling. 5(3). 57–63.3 indexed citations
14.
Yadav, Subhash Kumar, et al.. (2015). Estimation Approach to Ratio of Two Inventory Population Means in Stratified Random Sampling. 5(4). 96–101.4 indexed citations
15.
Yadav, Subhash Kumar, et al.. (2015). Searching Efficient Estimator of Population Mean in Stratified Random Sampling. 5(4). 75–81.1 indexed citations
16.
Shukla, Alok Kumar, et al.. (2015). Optimal Search of Developed Class of Modified Ratio Estimators for Estimation of Population Variance. 5(4). 82–95.1 indexed citations
17.
Yadav, Subhash Kumar, et al.. (2015). Improvement of Estimator for Population Variance using Correlation Coefficient and Quartiles of The Auxiliary Variable. Journal of Statistics Applications & Probability. 4(2). 259–263.7 indexed citations
18.
Yadav, Subhash Kumar, et al.. (2014). Optimal Search for Efficient Estimator of Finite Population Mean Using Auxiliary Information. 4(2). 28–34.2 indexed citations
19.
Yadav, Subhash Kumar & Cem Kadılar. (2013). Improved Exponential Type Ratio Estimator of Population Variance. Revista Colombiana de Estadística. 36(1). 145–152.29 indexed citations
20.
Yadav, Subhash Kumar, et al.. (2013). On Improved Estimation of Population Mean using Qualitative Auxiliary Information. Mathematical theory and modeling. 3(11). 42–50.3 indexed citations
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incomplete records, variations in author disambiguation, differences in journal indexing, and
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Rankless may not fully capture the entirety of a scholar's output or impact.