Subhash Kumar Yadav
- Statistics and Probability top 1%
- Epidemiology
- Artificial Intelligence
- Sociology and Political Science
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Cem KadılarYusuf AkhterSat GuptaAlok Kumar ShuklaJavid ShabbirRajesh Kumar GuptaTolga ZamanFlorentín Smarandache
- Topics
- Survey Sampling and Estimation Techniques (62 papers)Statistical Distribution Estimation and Applications (13 papers)Advanced Statistical Methods and Models (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsPublic Health Nutrition
- Partner nations
- IndiaUnited StatesTürkiye
In The Last Decade
Subhash Kumar Yadav
65 papers receiving 357 citations
Peers
Comparison fields: 5 of 79
- Statistics and Probability 295
- Epidemiology 47
- Artificial Intelligence 34
- Sociology and Political Science 24
- Endocrinology, Diabetes and Metabolism 19
Countries citing papers authored by Subhash Kumar Yadav
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.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | Improved Estimation of Population Mean Using Information on Size of the Sample | 9 |
| 7 | 4 | |
| 8 | Improved Ratio-Cum-Product Estimators of Population Mean Using Known Population Parameters of Auxiliary Variables | 0 |
| 9 | Use of Correlation Coefficient and Quartiles of Auxiliary Variable for Improved Estimation of Population Variance | 2 |
| 10 | Use of Non-Conventional Measures of Dispersion for Improved Estimation of Population Mean | 2 |
| 11 | Efficient Estimator for Population Variance Using Auxiliary Variable | 6 |
| 12 | Developing Improved Predictive Estimator for Finite Population Mean Using Auxiliary Information | 8 |
| 13 | Improved Dual to Ratio Cum Dual to Product Estimator in the Stratified Random Sampling | 3 |
| 14 | Estimation Approach to Ratio of Two Inventory Population Means in Stratified Random Sampling | 4 |
| 15 | Searching Efficient Estimator of Population Mean in Stratified Random Sampling | 1 |
| 16 | Optimal Search of Developed Class of Modified Ratio Estimators for Estimation of Population Variance | 1 |
| 17 | Improvement of Estimator for Population Variance using Correlation Coefficient and Quartiles of The Auxiliary Variable | 7 |
| 18 | Optimal Search for Efficient Estimator of Finite Population Mean Using Auxiliary Information | 2 |
| 19 | Improved Exponential Type Ratio Estimator of Population Variance | 29 |
| 20 | On Improved Estimation of Population Mean using Qualitative Auxiliary Information | 3 |
About Subhash Kumar Yadav
Subhash Kumar Yadav is a scholar working on Statistics and Probability, Modeling and Simulation and Statistics, Probability and Uncertainty, having authored 86 papers that have together received 400 indexed citations. Recurring topics across this work include Survey Sampling and Estimation Techniques (62 papers), Statistical Distribution Estimation and Applications (13 papers) and Advanced Statistical Methods and Models (11 papers). The work is most often cited by research in Statistics and Probability (295 citations), Modeling and Simulation (19 citations) and Space and Planetary Science (4 citations). Subhash Kumar Yadav has collaborated with scholars based in India, United States and Türkiye. Frequent co-authors include Cem Kadılar, Yusuf Akhter, Sat Gupta, Alok Kumar Shukla, Javid Shabbir, Rajesh Kumar Gupta, Tolga Zaman, Florentín Smarandache, Dinesh K. Sharma and Saif Ali Khan. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Public Health Nutrition.
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.