J. N. Srivastava
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- Optimal Experimental Design Methods 35
- Statistics and Probability top 1%
- Advanced Statistical Methods and Models 9
- Statistical Methods in Clinical Trials 6
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- Probabilistic and Robust Engineering Design 5
- Advanced Statistical Process Monitoring 5
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- Advanced Multi-Objective Optimization Algorithms 8
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- Manufacturing Process and Optimization 8
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- graph theory and CDMA systems 9
- Co-authors
- Damaraju RaghavaraoS. C. PearceDonald A. AndersonEric R. ZiegelD. V. GokhaleD. E. BartonFrank HararyS. S. Shrikhande
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityStatistics, Probability and Uncertainty
- Journals
- Journal of the American Statistical Association (5 papers)Technometrics (4 papers)Biometrics (1 paper)
- Partner nations
- United StatesIndiaLebanon
In The Last Decade
J. N. Srivastava
56 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Management Science and Operations Research 1.1k
- Statistics and Probability 444
- Statistics, Probability and Uncertainty 199
- Computational Theory and Mathematics 385
- Industrial and Manufacturing Engineering 203
Countries citing papers authored by J. N. Srivastava
This map shows the geographic impact of J. N. Srivastava'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 J. N. Srivastava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. N. Srivastava more than expected).
Fields of papers citing papers by J. N. Srivastava
This network shows the impact of papers produced by J. N. Srivastava. 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 J. N. Srivastava. The network helps show where J. N. Srivastava may publish in the future.
Co-authorship network
The 25 scholars most cited alongside J. N. Srivastava, 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 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 1998 | 2 | |
| 4 | 1990 | 10 | |
| 5 | 1989 | 3 | |
| 6 | 1987 | 7 | |
| 7 | 1985 | 5 | |
| 8 | 1983 | 18 | |
| 9 | 1978 | 6 | |
| 10 | 1977 | 31 | |
| 11 | 1976 | 213 | |
| 12 | 1974 | 8 | |
| 13 | 1974 | 114 | |
| 14 | 1973 | 21 | |
| 15 | 1972 | 38 | |
| 16 | 1972 | 4 | |
| 17 | 1971 | 60 | |
| 18 | 1971 | 27 | |
| 19 | 1968 | 16 | |
| 20 | 1964 | 6 |
About J. N. Srivastava
J. N. Srivastava is a scholar working on Management Science and Operations Research, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (35 papers), Advanced Statistical Methods and Models (9 papers), graph theory and CDMA systems (9 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Manufacturing Process and Optimization (8 papers), Statistical Methods in Clinical Trials (6 papers), Probabilistic and Robust Engineering Design (5 papers) and Advanced Statistical Process Monitoring (5 papers). The work is most often cited by research in Management Science and Operations Research (1.1k citations), Statistics and Probability (444 citations) and Statistics, Probability and Uncertainty (199 citations). J. N. Srivastava has collaborated with scholars based in United States, India and Lebanon. Frequent co-authors include Damaraju Raghavarao, S. C. Pearce, Donald A. Anderson, Eric R. Ziegel, D. V. Gokhale, D. E. Barton, Frank Harary, S. S. Shrikhande, C. R. Rao and G.-C Rota. Their work appears in journals such as Journal of the American Statistical Association, Technometrics and Biometrics.
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.