Hukum Chandra

1.4k total citations
87 papers, 897 citations indexed

About

Hukum Chandra is a scholar working on Statistics and Probability, Economics and Econometrics and General Agricultural and Biological Sciences. According to data from OpenAlex, Hukum Chandra has authored 87 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Statistics and Probability, 26 papers in Economics and Econometrics and 21 papers in General Agricultural and Biological Sciences. Recurrent topics in Hukum Chandra's work include Spatial and Panel Data Analysis (19 papers), Statistical Methods and Bayesian Inference (15 papers) and demographic modeling and climate adaptation (13 papers). Hukum Chandra is often cited by papers focused on Spatial and Panel Data Analysis (19 papers), Statistical Methods and Bayesian Inference (15 papers) and demographic modeling and climate adaptation (13 papers). Hukum Chandra collaborates with scholars based in India, Australia and Italy. Hukum Chandra's 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 and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and Applied Energy.

In The Last Decade

Hukum Chandra

78 papers receiving 831 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hukum Chandra India 18 301 270 190 113 112 87 897
Isabel Molina Spain 16 564 1.9× 326 1.2× 390 2.1× 303 2.7× 113 1.0× 49 1.1k
Rachel Harter United States 8 248 0.8× 310 1.1× 198 1.0× 116 1.0× 89 0.8× 14 666
María José Lombardía Spain 14 315 1.0× 263 1.0× 225 1.2× 104 0.9× 68 0.6× 36 703
Roger A. Herriot United States 4 406 1.3× 443 1.6× 276 1.5× 149 1.3× 92 0.8× 6 930
Mitchel Langford United Kingdom 20 290 1.0× 18 0.1× 83 0.4× 153 1.4× 110 1.0× 38 1.7k
Philip Kokic Australia 18 106 0.4× 77 0.3× 91 0.5× 221 2.0× 63 0.6× 36 1.2k
Carlos A. Flores United States 15 209 0.7× 177 0.7× 13 0.1× 40 0.4× 119 1.1× 47 628
Levi John Wolf United Kingdom 16 574 1.9× 19 0.1× 24 0.1× 220 1.9× 155 1.4× 53 1.5k
Purhadi Purhadi Indonesia 9 130 0.4× 94 0.3× 28 0.1× 143 1.3× 10 0.1× 117 547
Benjamin J. Tepping United States 7 64 0.2× 204 0.8× 78 0.4× 84 0.7× 91 0.8× 15 578

Countries citing papers authored by Hukum Chandra

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Stacy, Shaina L., Hukum Chandra, Linda Robertson, et al.. (2023). Re-scaling and small area estimation of behavioral risk survey guided by social vulnerability data. BMC Public Health. 23(1). 184–184. 1 indexed citations
2.
Pyne, Saumyadipta, et al.. (2023). Food insecurity in the Eastern Indo-Gangetic plain: Taking a closer look. PLoS ONE. 18(1). e0279414–e0279414. 5 indexed citations
3.
Chandra, Hukum, et al.. (2023). Small area estimation under a spatially correlated multivariate area-level model. Journal of the Royal Statistical Society Series A (Statistics in Society). 187(1). 62–84. 4 indexed citations
4.
Das, Sumonkanti, et al.. (2022). Multivariate small area modelling of undernutrition prevalence among under-five children in Bangladesh. The International Journal of Biostatistics. 19(1). 191–215. 3 indexed citations
5.
Chandra, Hukum, et al.. (2022). Multivariate Small Area Modelling for Measuring Micro Level Earning Inequality: Evidence from Periodic Labour Force Survey of India. Social Indicators Research. 162(2). 643–663. 3 indexed citations
6.
Srivastava, Swati, Hukum Chandra, Shri Kant Singh, & Ashish Kumar Upadhyay. (2021). Mapping changes in district level prevalence of childhood stunting in India 1998-2016: An application of small area estimation techniques. SSM - Population Health. 14. 100748–100748. 16 indexed citations
7.
Chandra, Hukum, et al.. (2021). Measuring and Mapping Disaggregate Level Disparities in Food Consumption and Nutritional Status via Multivariate Small Area Modelling. Social Indicators Research. 154(2). 623–646. 14 indexed citations
8.
Das, Sumonkanti, et al.. (2020). Disaggregate level estimates and spatial mapping of food insecurity in Bangladesh by linking survey and census data. PLoS ONE. 15(4). e0230906–e0230906. 23 indexed citations
9.
Chandra, Hukum, et al.. (2019). Hierarchical Bayes aggregated level spatial model for crop yield estimation.. 73(2). 143–152. 3 indexed citations
10.
Das, Sumonkanti, Hukum Chandra, & Unnati Rani Saha. (2019). District level estimates and mapping of prevalence of diarrhoea among under-five children in Bangladesh by combining survey and census data. PLoS ONE. 14(2). e0211062–e0211062. 17 indexed citations
11.
Baffour, Bernard, Hukum Chandra, & Arturo Martínez. (2018). Localised Estimates of Dynamics of Multi‐dimensional Disadvantage: An Application of the Small Area Estimation Technique Using Australian Survey and Census Data. International Statistical Review. 87(1). 1–23. 7 indexed citations
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14.
Chandra, Hukum, et al.. (2012). Small Area Estimation under Spatial Nonstationarity. CINECA IRIS Institutial research information system (University of Pisa). 27 indexed citations
15.
Johnson, Fiifi Amoako, Sabu S. Padmadas, Hukum Chandra, Zoë Matthews, & Nyovani Madise. (2012). Estimating unmet need for contraception by district within Ghana: An application of small-area estimation techniques. Population Studies. 66(2). 105–122. 14 indexed citations
16.
Chandra, Hukum, et al.. (2011). Disaggregate-level estimates of indebtedness in the state of Uttar Pradesh in India: an application of small-area estimation technique. Journal of Applied Statistics. 38(11). 2413–2432. 32 indexed citations
17.
Chandra, Hukum, et al.. (2011). Small Area Estimation for Zero-Inflated Data. Communications in Statistics - Simulation and Computation. 41(5). 632–643. 16 indexed citations
18.
Johnson, Fiifi Amoako, Hukum Chandra, James Brown, & Sabu S. Padmadas. (2010). District-level Estimates of Institutional Births in Ghana: Application of Small Area Estimation Technique Using Census and DHS Data. Journal of Official Statistics. 26(2). 341–359. 27 indexed citations
19.
Chandra, Hukum & Ray Chambers. (2009). Multipurpose weighting for small area estimation. Journal of Official Statistics. 25(3). 379–395. 13 indexed citations
20.
Chandra, Hukum, Nicola Salvati, & Ray Chambers. (2007). Small area estimation for spatially correlated populations - A comparison of direct and indirect model-based methods. Research Online (University of Wollongong). 8(17). 887–906. 26 indexed citations

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.

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