Mahendra Saha
- Statistics, Probability and Uncertainty top 0.5%
- Statistics and Probability top 1%
- Management Science and Operations Research top 5%
- Control and Systems Engineering top 10%
- Safety, Risk, Reliability and Quality top 5%
- Co-authors
- Sanku DeySudhansu S. MaitiAbhimanyu Singh YadavAsok K. NandaChi‐Hyuck JunSajid AliAmer Ibrahim Al‐OmariHaitham M. Yousof
- Topics
- Advanced Statistical Process Monitoring (52 papers)Statistical Distribution Estimation and Applications (36 papers)Scientific Measurement and Uncertainty Evaluation (20 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityManagement Science and Operations Research
- Journals
- SHILAP Revista de lepidopterologíaPhytochemistryEngineering Applications of Artificial Intelligence
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Mahendra Saha
58 papers receiving 565 citations
Peers
Comparison fields: 5 of 52
- Statistics, Probability and Uncertainty 480
- Statistics and Probability 391
- Management Science and Operations Research 136
- Control and Systems Engineering 91
- Safety, Risk, Reliability and Quality 74
Countries citing papers authored by Mahendra Saha
This map shows the geographic impact of Mahendra Saha'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 Mahendra Saha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahendra Saha more than expected).
Fields of papers citing papers by Mahendra Saha
This network shows the impact of papers produced by Mahendra Saha. 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 Mahendra Saha. The network helps show where Mahendra Saha may publish in the future.
Co-authorship network of co-authors of Mahendra Saha
This figure shows the co-authorship network connecting the top 25 collaborators of Mahendra Saha. A scholar is included among the top collaborators of Mahendra Saha 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 Mahendra Saha. Mahendra Saha 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 | 2 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 6 | |
| 14 | 0 | |
| 15 | 12 | |
| 16 | 14 | |
| 17 | Comparison of Two Generalized Process Capability Indices by using Bootstrap Confidence Intervals | 1 |
| 18 | 20 | |
| 19 | 25 | |
| 20 | 3 |
About Mahendra Saha
Mahendra Saha is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Management Science and Operations Research, having authored 69 papers that have together received 578 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (52 papers), Statistical Distribution Estimation and Applications (36 papers) and Scientific Measurement and Uncertainty Evaluation (20 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (480 citations), Statistics and Probability (391 citations) and Management Science and Operations Research (136 citations). Mahendra Saha has collaborated with scholars based in India, United States and China. Frequent co-authors include Sanku Dey, Sudhansu S. Maiti, Sanku Dey, Abhimanyu Singh Yadav, Asok K. Nanda, Chi‐Hyuck Jun, Sajid Ali, Amer Ibrahim Al‐Omari, Haitham M. Yousof and Hugo E. Gottlieb. Their work appears in journals such as SHILAP Revista de lepidopterología, Phytochemistry and Engineering Applications of Artificial Intelligence.
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.