Housila P. Singh
- Statistics and Probability top 0.05%
- Artificial Intelligence top 5%
- Sociology and Political Science top 10%
- Epidemiology
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Ramkrishna S. SolankiSunil KumarLakshmi N. UpadhyayaGajendra K. VishwakarmaTanveer A. TarraySarjinder SinghMariano Ruiz EspejoSurya Kant Pal
- Topics
- Survey Sampling and Estimation Techniques (247 papers)Statistical Distribution Estimation and Applications (47 papers)Statistical Methods and Bayesian Inference (44 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsApplied Mathematics and Computation
- Partner nations
- IndiaUnited StatesSpain
In The Last Decade
Housila P. Singh
254 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 58
- Statistics and Probability 2.7k
- Artificial Intelligence 293
- Sociology and Political Science 172
- Epidemiology 153
- Statistics, Probability and Uncertainty 122
Countries citing papers authored by Housila P. Singh
This map shows the geographic impact of Housila P. Singh'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 Housila P. Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Housila P. Singh more than expected).
Fields of papers citing papers by Housila P. Singh
This network shows the impact of papers produced by Housila P. Singh. 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 Housila P. Singh. The network helps show where Housila P. Singh may publish in the future.
Co-authorship network of co-authors of Housila P. Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Housila P. Singh. A scholar is included among the top collaborators of Housila P. Singh 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 Housila P. Singh. Housila P. Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | AN IMPROVED NEW ADDITIVE MODEL | 1 |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 9 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | Estimation of Shape Parameter and Measure of Dispersion of Inverse Gaussian Distribution Using Prior Information | 0 |
| 19 | A general class of estimators in successive sampling | 36 |
| 20 | A class of PPS estimators of population variance using auxiliary information | 2 |
About Housila P. Singh
Housila P. Singh is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 282 papers that have together received 2.7k indexed citations. Recurring topics across this work include Survey Sampling and Estimation Techniques (247 papers), Statistical Distribution Estimation and Applications (47 papers) and Statistical Methods and Bayesian Inference (44 papers). The work is most often cited by research in Statistics and Probability (2.7k citations), Statistics, Probability and Uncertainty (122 citations) and Artificial Intelligence (293 citations). Housila P. Singh has collaborated with scholars based in India, United States and Spain. Frequent co-authors include Ramkrishna S. Solanki, Sunil Kumar, Lakshmi N. Upadhyaya, Gajendra K. Vishwakarma, Tanveer A. Tarray, Sarjinder Singh, Mariano Ruiz Espejo, Surya Kant Pal, Rajesh Tailor and R S Biradar. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Mathematics and Computation.
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.