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Mathematics
India
2026

D-Index & Metrics

Mathematics

D-Index
66
Citations
18223
World Ranking
358
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Mathematics in India Leader Award
  • 2025 - Research.com Mathematics in India Leader Award
  • 2023 - Research.com Mathematics in India Leader Award

Overview

Debasis Kundu is affiliated with the Indian Institute of Technology Kanpur in India. Their research spans multiple areas within mathematics, decision sciences, and computer science, with a strong emphasis on statistics and probability.

The following are key topics of their work:

  • Statistical Distribution Estimation and Applications
  • Probabilistic and Robust Engineering Design
  • Statistical Methods and Bayesian Inference
  • Blind Source Separation Techniques
  • Reliability and Maintenance Optimization
  • Statistical Methods and Inference
  • Image and Signal Denoising Methods

Kundu's main research fields include:

  • Mathematics
  • Decision Sciences
  • Computer Science

Their subfields of study cover:

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Signal Processing
  • Artificial Intelligence
  • Safety, Risk, Reliability and Quality

Frequent venues for Kundu's publications are:

  • Communications in Statistics - Simulation and Computation
  • Circuits Systems and Signal Processing
  • arXiv (Cornell University)
  • Journal of Statistical Computation and Simulation
  • Applied Stochastic Models in Business and Industry

Recent papers authored by collaborators associated with Kundu include:

  • Analysis of skewed data by using compound Poisson exponential distribution with applications to insurance claims, 2021, Journal of Statistical Computation and Simulation
  • Likelihood analysis and stochastic EM algorithm for left truncated right censored data and associated model selection from the Lehmann family of life distributions, 2021, Japanese Journal of Statistics and Data Science
  • A bivariate inverse generalized exponential distribution and its applications in dependent competing risks model, 2020, Communications in Statistics - Simulation and Computation
  • Order restricted classical inference of a Weibull multiple step-stress model, 2020, Journal of Applied Statistics
  • Statistical Inference of Chen Distribution Based on Type I Progressive Hybrid Censored Samples, 2022, Statistics Optimization & Information Computing

Frequent coauthors of Kundu are:

  • Rhythm Grover
  • N. Balakrishnan
  • Amit Mitra
  • Erhard Cramer
  • Sharmishtha Mitra

Best Publications

  • Generalized Exponential Distributions

    Rameshwar D. Gupta;Debasis Kundu

  • EXPONENTIATED EXPONENTIAL FAMILY: AN ALTERNATIVE TO GAMMA AND WEIBULL DISTRIBUTIONS

    Rameshwar D. Gupta;Debasis Kundu

  • Generalized exponential distribution: different method of estimations

    Rameshwar D. Gupta;Debasis. Kundu

  • Analysis of Type-II progressively hybrid censored data

    Debasis Kundu;Avijit Joarder

  • Generalized exponential distribution: Existing results and some recent developments

    Rameshwar D. Gupta;Debasis Kundu

  • Generalized Rayleigh distribution

    Debasis Kundu;Mohammad Z. Raqab

  • A new method for generating distributions with an application to exponential distribution

    Abbas Mahdavi;Debasis Kundu

  • Exact likelihood inference based on Type-I and Type-II hybrid censored samples from the exponential distribution

    A. Childs;B. Chandrasekar;N. Balakrishnan;D. Kundu

  • Estimation of P[Y < X] for generalized exponential distribution

    Debasis Kundu;Rameshwar D. Gupta

  • Estimation of P[Y<X] for Weibull distributions

    D. Kundu;R.D. Gupta

  • Bayesian inference and life testing plan for the Weibull distribution in presence of progressive censoring

    Debasis Kundu

  • Estimation of R=P(Y<X) for three-parameter Weibull distribution

    Debasis Kundu;Mohammad Z. Raqab

  • Generalized exponential distribution: Bayesian estimations

    Debasis Kundu;Rameshwar D. Gupta

  • Hybrid censoring

    N. Balakrishnan;Debasis Kundu

  • Modified MUSIC algorithm for estimation DOA of signals

    Debasis Kundu

  • Is Weibull distribution the most appropriate statistical strength distribution for brittle materials

    Bikramjit Basu;Devesh Tiwari;Debasis Kundu;Rajesh Prasad

  • Bayesian inference and prediction of the inverse Weibull distribution for Type-II censored data

    Debasis Kundu;Hatem Howlader

  • Statistical analysis of exponential lifetimes under an adaptive Type-II progressive censoring scheme

    Hon Keung Tony Ng;Debasis Kundu;Ping Shing Chan

  • Discriminating between Weibull and generalized exponential distributions

    Rameshwar D. Gupta;Debasis Kundu

  • Modified moment estimation for the two-parameter Birnbaum--Saunders distribution

    H. K. T. Ng;D. Kundu;N. Balakrishnan

  • Statistical Signal Processing: Frequency Estimation

    Debasis Kundu;Swagata Nandi

Frequent Co-Authors

Narayanaswamy Balakrishnan
Narayanaswamy Balakrishnan McMaster University
Arjun K. Gupta
Arjun K. Gupta Bowling Green State University
Ramesh C. Gupta
Ramesh C. Gupta University of Maine
Zhidong Bai
Zhidong Bai Northeast Normal University
Muhammad Aslam
Muhammad Aslam King Abdulaziz University
Biswajit Basu
Biswajit Basu Trinity College Dublin
Bikramjit Basu
Bikramjit Basu Indian Institute of Science
Chi-Hyuck Jun
Chi-Hyuck Jun Pohang University of Science and Technology
Víctor Leiva
Víctor Leiva Pontificial Catholic University of Valparaiso

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