Balgobin Nandram
- Statistics and Probability top 1%
- Artificial Intelligence top 10%
- Economics and Econometrics top 10%
- Management Science and Operations Research top 10%
- Sociology and Political Science
- Co-authors
- Ming‐Hui ChenJoseph D. PetruccelliJai Won ChoiJ. SedranskLinda Williams PickleRobert J. GoldbergLobat HashemiStefan Müeller
- Topics
- Statistical Methods and Bayesian Inference (53 papers)Statistical Methods and Inference (22 papers)Bayesian Methods and Mixture Models (20 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationBiometrics
- Partner nations
- United StatesIndiaSouth Korea
In The Last Decade
Balgobin Nandram
75 papers receiving 693 citations
Peers
Comparison fields: 5 of 133
- Statistics and Probability 366
- Artificial Intelligence 165
- Economics and Econometrics 106
- Management Science and Operations Research 72
- Sociology and Political Science 50
Countries citing papers authored by Balgobin Nandram
This map shows the geographic impact of Balgobin Nandram'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 Balgobin Nandram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Balgobin Nandram more than expected).
Fields of papers citing papers by Balgobin Nandram
This network shows the impact of papers produced by Balgobin Nandram. 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 Balgobin Nandram. The network helps show where Balgobin Nandram may publish in the future.
Co-authorship network of co-authors of Balgobin Nandram
This figure shows the co-authorship network connecting the top 25 collaborators of Balgobin Nandram. A scholar is included among the top collaborators of Balgobin Nandram 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 Balgobin Nandram. Balgobin Nandram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | Bayesian predictive inference for benchmarking crop production for Iowa counties. | 0 |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | Fitting Bayesian two-stage generalized linear models using random samples via the SIR algorithm | 2 |
| 13 | SIMULTANEOUS CONCENTRATION BANDS FOR CONTINUOUS RANDOM SAMPLES | 1 |
| 14 | 6 | |
| 15 | 12 | |
| 16 | 4 | |
| 17 | 17 | |
| 18 | An Empirical Bayes Prediction Interval for the Finite Population Mean of a Small Area | 4 |
| 19 | 14 | |
| 20 | 25 |
About Balgobin Nandram
Balgobin Nandram is a scholar working on Statistics and Probability, Management Science and Operations Research and Artificial Intelligence, having authored 84 papers that have together received 766 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (53 papers), Statistical Methods and Inference (22 papers) and Bayesian Methods and Mixture Models (20 papers). The work is most often cited by research in Statistics and Probability (366 citations), Management Science and Operations Research (72 citations) and Statistics, Probability and Uncertainty (41 citations). Balgobin Nandram has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Ming‐Hui Chen, Joseph D. Petruccelli, Jai Won Choi, J. Sedransk, Linda Williams Pickle, Robert J. Goldberg, Lobat Hashemi, Stefan Müeller, Marie Foley Kijewski and Steven C. Moore. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association 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.