Hukum Chandra
- Economics and Econometrics top 5%
- Statistics and Probability top 1%
- Management Science and Operations Research top 5%
- Sociology and Political Science
- Environmental Engineering top 10%
- Co-authors
- Ray ChambersNicola SalvatiRaymond L. ChambersNikos TzavidisR. S. SinghKaustav AdityaSumonkanti DasSabu S. Padmadas
- Topics
- Spatial and Panel Data Analysis (19 papers)Statistical Methods and Bayesian Inference (15 papers)demographic modeling and climate adaptation (13 papers)
In The Last Decade
Hukum Chandra
78 papers receiving 831 citations
Peers
Comparison fields: 5 of 105
- Economics and Econometrics 301
- Statistics and Probability 270
- Management Science and Operations Research 190
- Sociology and Political Science 113
- Environmental Engineering 112
Countries citing papers authored by Hukum Chandra
This map shows the geographic impact of Hukum Chandra'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 Hukum Chandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hukum Chandra more than expected).
Fields of papers citing papers by Hukum Chandra
This network shows the impact of papers produced by Hukum Chandra. 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 Hukum Chandra. The network helps show where Hukum Chandra may publish in the future.
Co-authorship network of co-authors of Hukum Chandra
This figure shows the co-authorship network connecting the top 25 collaborators of Hukum Chandra. A scholar is included among the top collaborators of Hukum Chandra 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 Hukum Chandra. Hukum Chandra 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 | 5 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 16 | |
| 7 | 14 | |
| 8 | 23 | |
| 9 | Hierarchical Bayes aggregated level spatial model for crop yield estimation. | 3 |
| 10 | 17 | |
| 11 | 7 | |
| 12 | 11 | |
| 13 | 0 | |
| 14 | 27 | |
| 15 | 14 | |
| 16 | 32 | |
| 17 | 16 | |
| 18 | District-level Estimates of Institutional Births in Ghana: Application of Small Area Estimation Technique Using Census and DHS Data | 27 |
| 19 | Multipurpose weighting for small area estimation | 13 |
| 20 | 26 |
About Hukum Chandra
Hukum Chandra is a scholar working on Statistics and Probability, General Agricultural and Biological Sciences and Management Science and Operations Research, having authored 87 papers that have together received 897 indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (19 papers), Statistical Methods and Bayesian Inference (15 papers) and demographic modeling and climate adaptation (13 papers). The work is most often cited by research in Statistics and Probability (270 citations), Management Science and Operations Research (190 citations) and General Agricultural and Biological Sciences (92 citations). Hukum Chandra has collaborated with scholars based in India, Australia and Italy. Frequent co-authors include Ray Chambers, Nicola Salvati, Raymond L. Chambers, Nikos Tzavidis, R. S. Singh, Kaustav Aditya, Sumonkanti Das, Sabu S. Padmadas, Fiifi Amoako Johnson and Dharmaraja Selvamuthu. Their work appears in journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and Applied Energy.
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.