Amitava Mukherjee
- Statistics, Probability and Uncertainty top 0.1%
- Statistics and Probability top 0.5%
- Control and Systems Engineering top 5%
- Management Science and Operations Research top 2%
- Medical Laboratory Technology top 1%
- Co-authors
- S. ChakrabortiMarco MarozziZhi Lin ChongMarien Alet GrahamMichael B. C. KhooMin XieS. ChowdhuryShovan Chowdhury
- Topics
- Advanced Statistical Process Monitoring (87 papers)Advanced Statistical Methods and Models (58 papers)Scientific Measurement and Uncertainty Evaluation (46 papers)
- Cited by
- Statistics, Probability and UncertaintyStatistics and ProbabilityMedical Laboratory Technology
- Journals
- SHILAP Revista de lepidopterologíaEuropean Journal of Operational ResearchBiometrika
In The Last Decade
Amitava Mukherjee
95 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 79
- Statistics, Probability and Uncertainty 1.4k
- Statistics and Probability 954
- Control and Systems Engineering 343
- Management Science and Operations Research 216
- Medical Laboratory Technology 92
Countries citing papers authored by Amitava Mukherjee
This map shows the geographic impact of Amitava Mukherjee'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 Amitava Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amitava Mukherjee more than expected).
Fields of papers citing papers by Amitava Mukherjee
This network shows the impact of papers produced by Amitava Mukherjee. 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 Amitava Mukherjee. The network helps show where Amitava Mukherjee may publish in the future.
Co-authorship network of co-authors of Amitava Mukherjee
This figure shows the co-authorship network connecting the top 25 collaborators of Amitava Mukherjee. A scholar is included among the top collaborators of Amitava Mukherjee 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 Amitava Mukherjee. Amitava Mukherjee 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 | 1 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 4 | |
| 12 | 9 | |
| 13 | 9 | |
| 14 | 14 | |
| 15 | 14 | |
| 16 | 49 | |
| 17 | 89 | |
| 18 | 5 | |
| 19 | 7 | |
| 20 | 10 |
About Amitava Mukherjee
Amitava Mukherjee is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Medical Laboratory Technology, having authored 101 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (87 papers), Advanced Statistical Methods and Models (58 papers) and Scientific Measurement and Uncertainty Evaluation (46 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.4k citations), Statistics and Probability (954 citations) and Medical Laboratory Technology (92 citations). Amitava Mukherjee has collaborated with scholars based in India, China and Hong Kong. Frequent co-authors include S. Chakraborti, Marco Marozzi, Zhi Lin Chong, Marien Alet Graham, Michael B. C. Khoo, Min Xie, S. Chowdhury, Shovan Chowdhury, Subha Chakraborti and Qin Su. Their work appears in journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Biometrika.
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.