Rakesh Ranjan
- Molecular Biology
- Statistics and Probability top 10%
- Plant Science
- Public Health, Environmental and Occupational Health
- Statistics, Probability and Uncertainty top 10%
- Co-authors
- S.K. UpadhyayMahendra SahaiCh.V. RaoBhagawati SaxenaSairam KrishnamurthyVijaya B. JoshiManoj PandeyEugène Bosmans
- Topics
- Statistical Distribution Estimation and Applications (8 papers)Statistical Methods and Bayesian Inference (6 papers)Bayesian Methods and Mixture Models (3 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Rakesh Ranjan
22 papers receiving 205 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 47
- Statistics and Probability 41
- Plant Science 40
- Public Health, Environmental and Occupational Health 24
- Statistics, Probability and Uncertainty 24
Countries citing papers authored by Rakesh Ranjan
This map shows the geographic impact of Rakesh Ranjan'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 Rakesh Ranjan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakesh Ranjan more than expected).
Fields of papers citing papers by Rakesh Ranjan
This network shows the impact of papers produced by Rakesh Ranjan. 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 Rakesh Ranjan. The network helps show where Rakesh Ranjan may publish in the future.
Co-authorship network of co-authors of Rakesh Ranjan
This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh Ranjan. A scholar is included among the top collaborators of Rakesh Ranjan 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 Rakesh Ranjan. Rakesh Ranjan 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 | 5 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 27 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 14 | |
| 17 | 73 | |
| 18 | 5 | |
| 19 | 11 | |
| 20 | 22 |
About Rakesh Ranjan
Rakesh Ranjan is a scholar working on Statistics and Probability, Reproductive Medicine and Statistics, Probability and Uncertainty, having authored 25 papers that have together received 214 indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (8 papers), Statistical Methods and Bayesian Inference (6 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Biological Psychiatry (14 citations), Statistics and Probability (41 citations) and Behavioral Neuroscience (13 citations). Rakesh Ranjan has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include S.K. Upadhyay, Mahendra Sahai, Ch.V. Rao, Bhagawati Saxena, Sairam Krishnamurthy, Vijaya B. Joshi, Manoj Pandey, Eugène Bosmans, Rayudu Gopalakrishna and Eric Vandoolaeghe. Their work appears in journals such as Biological Psychiatry, Toxicology and Reliability Engineering & System Safety.
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.