Aloke Dey
Impact in
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- Optimal Experimental Design Methods
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials
Papers in
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- Optimal Experimental Design Methods 81
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- Probabilistic and Robust Engineering Design 7
- Co-authors
- Rahul MukerjeeMurari SinghS. M. LewisChristopher J. NachtsheimAshish DasVinod Kumar GuptaMoumita DasVeena Agrawal
- Journals
- Annals of the Institute of Statistical Mathematics (11 papers)Technometrics (9 papers)Journal of Statistical Planning and Inference (9 papers)Biometrika (4 papers)Journal of the Royal Statistical Society Series B (Statistical Methodology) (2 papers)
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Aloke Dey
98 papers receiving 901 citations
Peers
Comparison fields: 5 of 115
- Management Science and Operations Research 749
- Statistics and Probability 176
- Industrial and Manufacturing Engineering 187
- Computational Theory and Mathematics 281
- Statistics, Probability and Uncertainty 116
Countries citing papers authored by Aloke Dey
This map shows the geographic impact of Aloke Dey'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 Aloke Dey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aloke Dey more than expected).
Fields of papers citing papers by Aloke Dey
This network shows the impact of papers produced by Aloke Dey. 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 Aloke Dey. The network helps show where Aloke Dey may publish in the future.
Co-authors
The 25 scholars most cited alongside Aloke Dey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2018 | 4 | |
| 3 | On the construction of nested orthogonal arrays | 2012 | 7 |
| 4 | 2010 | 10 | |
| 5 | A-efficient balanced treatment incomplete block designs | 2005 | 6 |
| 6 | 2003 | 18 | |
| 7 | 2002 | 9 | |
| 8 | 2001 | 3 | |
| 9 | 1999 | 134 | |
| 10 | 1996 | 26 | |
| 11 | 1995 | 1 | |
| 12 | Robustness of some designs against missing data | 1992 | 1 |
| 13 | 1992 | 1 | |
| 14 | 1983 | 12 | |
| 15 | 1982 | 2 | |
| 16 | 1981 | 2 | |
| 17 | 1980 | 11 | |
| 18 | 1979 | 25 | |
| 19 | 1975 | 0 | |
| 20 | On construction of balanced n-ary block designs | 1970 | 6 |
About Aloke Dey
Aloke Dey is a scholar working on Management Science and Operations Research, Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering, Computational Theory and Mathematics and Statistics and Probability, having authored 102 papers that have together received 1.0k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (81 papers), graph theory and CDMA systems (28 papers), Advanced Multi-Objective Optimization Algorithms (25 papers), Manufacturing Process and Optimization (16 papers), Statistical Methods in Clinical Trials (9 papers), Probabilistic and Robust Engineering Design (7 papers), Product Development and Customization (5 papers) and VLSI and Analog Circuit Testing (5 papers). The work is most often cited by research in Management Science and Operations Research (749 citations), Statistics and Probability (176 citations), Industrial and Manufacturing Engineering (187 citations), Computational Theory and Mathematics (281 citations) and Statistics, Probability and Uncertainty (116 citations). Aloke Dey has collaborated with scholars based in India, United States and China. Frequent co-authors include Rahul Mukerjee, Murari Singh, S. M. Lewis, Christopher J. Nachtsheim, Ashish Das, Vinod Kumar Gupta, Moumita Das, Veena Agrawal, Angela Dean and Seema Gupta. Their work appears in journals such as Annals of the Institute of Statistical Mathematics, Technometrics, Journal of Statistical Planning and Inference, Biometrika and Journal of the Royal Statistical Society Series B (Statistical Methodology).
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.