D. G. Kabe
Impact in
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models
- Statistical Distribution Estimation and Applications
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
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- Probabilistic and Robust Engineering Design
- Advanced Statistical Process Monitoring
Papers in
-
- Advanced Statistical Methods and Models 30
- Statistical Distribution Estimation and Applications 27
- Statistical Methods and Bayesian Inference 7
- Random Matrices and Applications 6
- Statistical Methods and Inference 5
-
- Bayesian Methods and Mixture Models 15
- Co-authors
- Arjun K. Gupta (10 shared papers)Rupesh Gupta (3 shared papers)Arjun K. Gupta (5 shared papers)Kanti Swarup (1 shared paper)A. K. Gupta (1 shared paper)Ritu Gupta (2 shared papers)D. V. Gokhale (1 shared paper)R Holder (1 shared paper)
- Journals
- Biometrical Journal (9 papers)Journal of the American Statistical Association (7 papers)Annals of the Institute of Statistical Mathematics (6 papers)Technometrics (4 papers)Canadian Journal of Statistics (4 papers)
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
D. G. Kabe
79 papers receiving 290 citations
Peers
Comparison fields: 5 of 86
- Statistics and Probability 216
- Statistics, Probability and Uncertainty 38
- Applied Mathematics 49
- Management Science and Operations Research 48
- Artificial Intelligence 65
Countries citing papers authored by D. G. Kabe
This map shows the geographic impact of D. G. Kabe'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 D. G. Kabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. G. Kabe more than expected).
Fields of papers citing papers by D. G. Kabe
This network shows the impact of papers produced by D. G. Kabe. 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 D. G. Kabe. The network helps show where D. G. Kabe may publish in the future.
Co-authors
The 8 scholars most cited alongside D. G. Kabe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1963 | 21 | |
| 2 | 1976 | 18 | |
| 3 | 1965 | 18 | |
| 4 | 1970 | 18 | |
| 5 | 1963 | 15 | |
| 6 | 1984 | 14 | |
| 7 | 1962 | 14 | |
| 8 | 1963 | 12 | |
| 9 | 2011 | 11 | |
| 10 | 1966 | 11 | |
| 11 | 1975 | 8 | |
| 12 | 1974 | 8 | |
| 13 | 1964 | 8 | |
| 14 | 1976 | 8 | |
| 15 | 1974 | 7 | |
| 16 | LINEAR FRACTIONAL FUNCTIONALS PROGRAMMING | 2016 | 6 |
| 17 | 1975 | 5 | |
| 18 | 1964 | 5 | |
| 19 | 1968 | 5 | |
| 20 | 1998 | 5 |
About D. G. Kabe
D. G. Kabe is a scholar working on Statistics and Probability, Artificial Intelligence, Management Science and Operations Research, Applied Mathematics and Control and Systems Engineering, having authored 92 papers that have together received 348 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (30 papers), Statistical Distribution Estimation and Applications (27 papers), Bayesian Methods and Mixture Models (15 papers), Statistical Methods and Bayesian Inference (7 papers), Random Matrices and Applications (6 papers), Statistical Methods and Inference (5 papers), Optimal Experimental Design Methods (5 papers) and Spectroscopy and Chemometric Analyses (4 papers). The work is most often cited by research in Statistics and Probability (216 citations), Statistics, Probability and Uncertainty (38 citations), Applied Mathematics (49 citations), Management Science and Operations Research (48 citations) and Artificial Intelligence (65 citations). D. G. Kabe has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Arjun K. Gupta, Rupesh Gupta, Arjun K. Gupta, Kanti Swarup, A. K. Gupta, Ritu Gupta, D. V. Gokhale and R Holder. Their work appears in journals such as Biometrical Journal, Journal of the American Statistical Association, Annals of the Institute of Statistical Mathematics, Technometrics and Canadian Journal of Statistics.
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.