Ramkrishna S. Solanki
- Statistics and Probability top 1%
- Artificial Intelligence
- Epidemiology
- Sociology and Political Science
- Statistics, Probability and Uncertainty top 10%
- Topics
- Survey Sampling and Estimation Techniques (27 papers)Statistical Distribution Estimation and Applications (5 papers)Bayesian Methods and Mixture Models (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Mathematics and ComputationSociological Methods & Research
- Partner nations
- IndiaUnited States
In The Last Decade
Ramkrishna S. Solanki
28 papers receiving 344 citations
Peers
Comparison fields: 5 of 24
- Statistics and Probability 378
- Artificial Intelligence 38
- Epidemiology 29
- Sociology and Political Science 28
- Statistics, Probability and Uncertainty 17
Countries citing papers authored by Ramkrishna S. Solanki
This map shows the geographic impact of Ramkrishna S. Solanki'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 Ramkrishna S. Solanki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramkrishna S. Solanki more than expected).
Fields of papers citing papers by Ramkrishna S. Solanki
This network shows the impact of papers produced by Ramkrishna S. Solanki. 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 Ramkrishna S. Solanki. The network helps show where Ramkrishna S. Solanki may publish in the future.
Co-authorship network of co-authors of Ramkrishna S. Solanki
This figure shows the co-authorship network connecting the top 25 collaborators of Ramkrishna S. Solanki. A scholar is included among the top collaborators of Ramkrishna S. Solanki 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 Ramkrishna S. Solanki. Ramkrishna S. Solanki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 5 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 16 | |
| 6 | Predictive Estimation of Finite Population Mean Using Exponential Estimators | 7 |
| 7 | 4 | |
| 8 | Improved Estimation Of Finite Population Variance Using Quartiles | 6 |
| 9 | 7 | |
| 10 | AN IMPROVEMENT OVER DIFFERENCE METHOD OF ESTIMATION OF POPULATION MEAN | 2 |
| 11 | 4 | |
| 12 | 13 | |
| 13 | 60 | |
| 14 | 32 | |
| 15 | 26 | |
| 16 | 11 | |
| 17 | 30 | |
| 18 | 31 | |
| 19 | 9 | |
| 20 | 8 |
About Ramkrishna S. Solanki
Ramkrishna S. Solanki is a scholar working on Statistics and Probability, Political Science and International Relations and Gender Studies, having authored 28 papers that have together received 388 indexed citations. Recurring topics across this work include Survey Sampling and Estimation Techniques (27 papers), Statistical Distribution Estimation and Applications (5 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Statistics and Probability (378 citations), Statistics, Probability and Uncertainty (17 citations) and Artificial Intelligence (38 citations). Ramkrishna S. Solanki has collaborated with scholars based in India and United States. Frequent co-authors include Housila P. Singh, Surya Kant Pal and Sarjinder Singh. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Mathematics and Computation and Sociological Methods & Research.
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.