World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
42
Citations
9551
World Ranking
1764
National Ranking
759

Engineering and Technology

D-Index
41
Citations
9292
World Ranking
6835
National Ranking
1863

Bani K. Mallick 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 Bani K. Mallick 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: 202 publications — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Bani K. Mallick 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 Bani K. Mallick 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: 42 D-Index — 51st percentile

51% 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

  • 2013 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2005 - Fellow of the American Statistical Association (ASA)

Overview

Bani K. Mallick is affiliated with Texas A&M University in the United States. Their research spans multiple disciplines, with primary focus areas in Computer Science and Mathematics.

Their main fields of study include:

  • Computer Science
  • Mathematics

Within these fields, Mallick's work extensively covers the following subfields:

  • Artificial Intelligence
  • Statistics and Probability
  • Molecular Biology
  • Electrical and Electronic Engineering
  • Public Health, Environmental and Occupational Health

Mallick has contributed to topics that emphasize statistical approaches and Bayesian frameworks, including:

  • Statistical Methods and Inference
  • Bayesian Methods and Mixture Models
  • Statistical Methods and Bayesian Inference
  • Gene expression and cancer classification
  • Bayesian Modeling and Causal Inference
  • Optimal Power Flow Distribution
  • Smart Grid Energy Management

Among several recent publications, key papers include:

  • "Estimation of COVID-19 spread curves integrating global data and borrowing information," 2020, published in PLoS ONE
  • "Bayesian optimization with adaptive surrogate models for automated experimental design," 2021, published in npj Computational Materials
  • "Systemic anti-inflammatory therapy aided by double-headed nanoparticles in a canine model of acute intraocular inflammation," 2020, published in Science Advances
  • "Bayesian Estimation of Correlation Matrices of Longitudinal Data," 2020, published in Bayesian Analysis
  • "Estimation of COVID-19 spread curves integrating global data and borrowing information," 2020, published in bioRxiv (Cold Spring Harbor Laboratory)

Frequent co-authors in Mallick's research include:

  • Debdeep Pati
  • Yabo Niu
  • Se Yoon Lee
  • Arhit Chakrabarti
  • Anirban Bhattacharya

Publication venues with multiple contributions from Mallick are:

  • arXiv (Cornell University)
  • Journal of the American Statistical Association
  • PLoS ONE
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Scientific Reports

Recognition for their work includes election as:

  • Fellow of the American Association for the Advancement of Science (AAAS), 2013
  • Fellow of the American Statistical Association (ASA), 2005

Best Publications

  • VARIABLE SELECTION FOR REGRESSION MODELS

    Bani Mallick

  • Automatic Bayesian curve fitting

    D. G. T. Denison;B. K. Mallick;A. F. M. Smith

  • Gene selection: a Bayesian variable selection approach

    Kyeong Eun Lee;Naijun Sha;Edward R. Dougherty;Marina Vannucci

  • A Bayesian CART algorithm

    David G. T. Denison;Bani K. Mallick;Adrian F. M. Smith

  • Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm

    Kaiguang Zhao;Kaiguang Zhao;Michael A. Wulder;Tongxi Hu;Ryan Bright

  • Generalized Linear Models : A Bayesian Perspective

    Dipak K. Dey;Sujit K. Ghosh;Bani K. Mallick

  • ROADWAY TRAFFIC CRASH MAPPING: A SPACE-TIME MODELING APPROACH

    S P Miaou;J J Song;B K Mallick

  • Nonlinear estimation and classification

    David D. Denison;Mark H. Hansen;Christopher C. Holmes;Bani Mallick

  • Analyzing Nonstationary Spatial Data Using Piecewise Gaussian Processes

    Hyoung-Moon Kim;Bani K Mallick;C. C Holmes

  • Gene selection using a two-level hierarchical Bayesian model

    Kyounghwa Bae;Bani K. Mallick

  • Large-Scale Inverse Problems and Quantification of Uncertainty

    Lorenz Biegler;George Biros;Omar Nabih Ghattas;Matthias Heinkenschloss

  • Bayesian multivariate spatial models for roadway traffic crash mapping

    J. J. Song;M. Ghosh;S. Miaou;B. Mallick

  • Fast sampling with Gaussian scale mixture priors in high-dimensional regression

    Anirban Bhattacharya;Antik Chakraborty;Bani K. Mallick

  • Parameter Estimation of Partial Differential Equation Models

    Xiaolei Xun;Jiguo Cao;Bani Mallick;Arnab Maity

  • A Bayesian semiparametric accelerated failure time model.

    Stephen G Walker;Bani K. Mallick

  • Functional clustering by Bayesian wavelet methods

    Shubhankar Ray;Bani Mallick

  • Estimation of COVID-19 spread curves integrating global data and borrowing information

    Se Yoon Lee;Bowen Lei;Bani K. Mallick

  • Hierarchical Generalized Linear Models and Frailty Models with Bayesian Nonparametric Mixing

    Stephen G. Walker;Bani K. Mallick

  • Bayesian semiparametric inference for the accelerated failure‐time model

    Lynn Kuo;Bani Mallick

  • Bayesian MARS

    D. G. T. Denison;B. K. Mallick;A. F. M. Smith

Frequent Co-Authors

Raymond J. Carroll
Raymond J. Carroll Texas A&M University
Dipak K. Dey
Dipak K. Dey University of Connecticut
Yalchin Efendiev
Yalchin Efendiev Texas A&M University
Akhil Datta-Gupta
Akhil Datta-Gupta Texas A&M University
Alan E. Gelfand
Alan E. Gelfand Duke University
Malay Ghosh
Malay Ghosh University of Florida
Yu Ding
Yu Ding Georgia Institute of Technology
Kaiguang Zhao
Kaiguang Zhao The Ohio State University
Hong Liang
Hong Liang Texas A&M University
Subrata Kundu
Subrata Kundu Central Electrochemical Research Institute

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