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Mathematics
Canada
2026

D-Index & Metrics

Mathematics

D-Index
66
Citations
22925
World Ranking
352
National Ranking
12

J. N. K. Rao publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where J. N. K. Rao sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 207 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

J. N. K. Rao D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where J. N. K. Rao sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 66 D-Index — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Research.com Recognitions

  • 2026 - Research.com Mathematics in Canada Leader Award
  • 1991 - Fellow of the Royal Society of Canada Academy of Science
  • 1966 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 1964 - Fellow of the American Statistical Association (ASA)

Overview

J. N. K. Rao is affiliated with Carleton University in Canada and conducts research predominantly within the field of Mathematics, with a focus on Statistics and Probability. Their work also spans related subfields including Economics and Econometrics, Sociology and Political Science, Management Science and Operations Research, and Artificial Intelligence.

The research topics covered by Rao include Statistical Methods and Bayesian Inference, Statistical Methods and Inference, Survey Methodology and Nonresponse, Spatial and Panel Data Analysis, Economic and Environmental Valuation, demographic modeling and climate adaptation, and Bayesian Methods and Mixture Models.

Rao has contributed to a number of scholarly articles, with selected recent papers including:

  • On Making Valid Inferences by Integrating Data from Surveys and Other Sources, 2020, Sankhya B
  • Empirical likelihood inference with public-use survey data, 2020, Electronic Journal of Statistics
  • Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach, 2023, Journal of the American Statistical Association
  • Effective transformation-based variable selection under two-fold subarea models in small area estimation, 2020, Statistics in Transition New Series
  • Discussion of "Small Area Estimation: Its Evolution in Five Decades", by Malay Ghosh, 2020, Statistics in Transition New Series

Frequent co-authors with whom Rao has published multiple works include Laura Dumitrescu, Changbao Wu, Jae Kwang Kim, Puying Zhao, and Song Cai.

Rao's research appears regularly in various publication venues such as arXiv (Cornell University), Statistics in Transition New Series, Sankhya B, Journal of the American Statistical Association, and Electronic Journal of Statistics.

Over the course of their career, Rao has received several distinctions including election as a Fellow of the Royal Society of Canada in 1991, Fellow of the American Association for the Advancement of Science (AAAS) in 1966, and Fellow of the American Statistical Association (ASA) in 1964.

Best Publications

  • Small Area Estimation

    J. N. K. Rao

  • On Chi-Squared Tests for Multiway Contingency Tables with Cell Proportions Estimated from Survey Data

    Unknown

  • The Analysis of Categorical Data from Complex Sample Surveys: Chi-Squared Tests for Goodness of Fit and Independence in Two-Way Tables

    J. N. K. Rao;A. J. Scott

  • Small Area Estimation: An Appraisal

    M. Ghosh;J. N. K. Rao

  • The estimation of the mean squared error of small-area estimators

    N. G. N. Prasad;J. N. K. Rao

  • Maximum-likelihood estimation for the mixed analysis of variance model

    H. O. Hartley;J. N. K. Rao

  • Resampling Inference with Complex Survey Data

    J. N. K. Rao;C. F. J. Wu

  • A simple method for the analysis of clustered binary data.

    J. N. K. Rao;A. J. Scott

  • Small Area Estimation: Rao/Small Area Estimation

    J.N.K. Rao;Isabel Molina

  • Jackknife variance estimation with survey data under hot deck imputation

    J. N. K. Rao;J. Shao

  • Inference From Stratified Samples: Properties of the Linearization, Jackknife and Balanced Repeated Replication Methods

    D. Krewski;J. N. K. Rao

  • Small area estimation of poverty indicators

    Isabel Molina;J. N. K. Rao

  • On Simple Adjustments to Chi-Square Tests with Sample Survey Data

    Unknown

  • Sampling with Unequal Probabilities and without Replacement

    H. O. Hartley;J. N. K. Rao

  • Empirical likelihood-based inference under imputation for missing response data

    Qihua Wang;J. N. K. Rao

  • ON A SIMPLE PROCEDURE OF UNEQUAL PROBABILITY SAMPLING WITHOUT REPLACEMENT

    J. N. K. Rao;H. O. Hartley;W. G. Cochran

  • Mean squared error of empirical predictor

    Kalyan Das;Jiming Jiang;J. N. K. Rao

  • Small‐area estimation by combining time‐series and cross‐sectional data

    J. N. K. Rao;Mingyu Yu

  • A new estimation theory for sample surveys

    H. O. Hartley;J. N. K. Rao

  • On estimating distribution functions and quantiles from survey data using auxiliary information

    Unknown

  • On Variance Estimation with Imputed Survey Data

    J. N. K. Rao

  • On measuring the variability of small area estimators under a basic area level model

    Gauri Sankar Datta;J. N. K. Rao;David Daniel Smith

  • Estimation in dual frame surveys with complex designs

    Chris J. Skinner;J. N. K. Rao

  • Small area estimation on poverty indicators

    J.N.K. Rao;Isabel Molina

Frequent Co-Authors

Jun Shao
Jun Shao University of Wisconsin–Madison
Jiahua Chen
Jiahua Chen University of British Columbia
Malay Ghosh
Malay Ghosh University of Florida
Daniel Krewski
Daniel Krewski University of Ottawa
Wayne A. Fuller
Wayne A. Fuller Iowa State University
James Wyckoff
James Wyckoff University of Virginia
Alan M. Zaslavsky
Alan M. Zaslavsky Harvard University
Sally C. Morton
Sally C. Morton Arizona State University
Domingo Morales
Domingo Morales Miguel Hernandez University

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