World's Best Scientists 2026 revealed!
Ripon Kumar Chakrabortty

Ripon Kumar Chakrabortty

D-Index & Metrics

Computer Science

D-Index
51
Citations
7749
World Ranking
5435
National Ranking
165

Ripon Kumar Chakrabortty publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Ripon Kumar Chakrabortty sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 190 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Ripon Kumar Chakrabortty D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Ripon Kumar Chakrabortty sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 51 D-Index — 63rd percentile

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

The last bar groups every scientist with 131 D-Index or more.

Overview

Ripon Kumar Chakrabortty is affiliated with the University of New South Wales in Australia. Their research spans multiple fields with a primary emphasis on Engineering and Computer Science. Within these domains, they have contributed extensively to subfields such as Artificial Intelligence, Management Science and Operations Research, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, and Strategy and Management.

The topics central to Chakrabortty's work include scheduling and optimization algorithms, sustainable supply chain management, resource-constrained project scheduling, supply chain resilience and risk management, metaheuristic optimization algorithms research, multi-criteria decision making, and solar radiation and photovoltaics.

Significant publications by Chakrabortty feature works in prominent venues. Selected recent papers include:

  • A novel approach integrating AHP and TOPSIS under spherical fuzzy sets for advanced manufacturing system selection (2020, Engineering Applications of Artificial Intelligence)
  • A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management (2021, IEEE Access)
  • A new hybrid multi-criteria decision-making approach for location selection of sustainable offshore wind energy stations: A case study (2020, Journal of Cleaner Production)
  • Graph Neural Network: A Comprehensive Review on Non-Euclidean Space (2021, IEEE Access)
  • Light Spectrum Optimizer: A Novel Physics-Inspired Metaheuristic Optimization Algorithm (2022, Mathematics)

Chakrabortty frequently publishes in several academic journals, with the highest number of contributions listed for:

  • IEEE Access (21 publications)
  • Computers & Industrial Engineering (15 publications)
  • Expert Systems with Applications (11 publications)
  • SSRN Electronic Journal (9 publications)
  • Knowledge-Based Systems (8 publications)

Their collaborative work frequently involves co-authors such as Michael J. Ryan, Mohamed Abdel-Basset, Humyun Fuad Rahman, Alireza Abbasi, and Karam M. Sallam.

Best Publications

  • A novel approach integrating AHP and TOPSIS under spherical fuzzy sets for advanced manufacturing system selection

    Manoj Mathew;Ripon Kumar Chakrabortty;Michael J. Ryan

  • A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management

    Shahid A. Hasib;S. Islam;Ripon K. Chakrabortty;Michael J. Ryan

  • Improved Multi-operator Differential Evolution Algorithm for Solving Unconstrained Problems

    Karam M. Sallam;Saber M. Elsayed;Ripon K. Chakrabortty;Michael J. Ryan

  • A new hybrid multi-criteria decision-making approach for location selection of sustainable offshore wind energy stations: A case study

    Mohamed Abdel-Basset;Abduallah Gamal;Ripon K. Chakrabortty;Michael Ryan

  • Graph Neural Network: A Comprehensive Review on Non-Euclidean Space

    Nurul A. Asif;Yeahia Sarker;Ripon K. Chakrabortty;Michael J. Ryan

  • Light Spectrum Optimizer: A Novel Physics-Inspired Metaheuristic Optimization Algorithm

    Unknown

  • A Hybrid COVID-19 Detection Model Using an Improved Marine Predators Algorithm and a Ranking-Based Diversity Reduction Strategy

    Mohamed Abdel-Basset;Reda Mohamed;Mohamed Elhoseny;Ripon Kumar Chakrabortty

  • Very short-term forecasting of wind power generation using hybrid deep learning model

    Alamgir Hossain;Alamgir Hossain;Ripon K. Chakrabortty;Sondoss Elsawah;Michael J. Ryan

  • Parameter estimation of photovoltaic models using an improved marine predators algorithm

    Mohamed Abdel-Basset;Doaa El-Shahat;Ripon K. Chakrabortty;Michael Ryan

  • Critical Design and Control Issues of Indoor Autonomous Mobile Robots: A Review

    Md. A. K. Niloy;Anika Shama;Ripon K. Chakrabortty;Michael J. Ryan

  • Deep-IFS: Intrusion Detection Approach for Industrial Internet of Things Traffic in Fog Environment

    Mohamed Abdel-Basset;Victor Chang;Hossam Hawash;Ripon K. Chakrabortty

  • Solar photovoltaic parameter estimation using an improved equilibrium optimizer

    Mohamed Abdel-Basset;Reda Mohamed;Seyedali Mirjalili;Ripon K. Chakrabortty

  • Semi-Supervised Spatiotemporal Deep Learning for Intrusions Detection in IoT Networks

    Mohamed Abdel-Basset;Hossam Hawash;Ripon K. Chakrabortty;Michael J. Ryan

  • ST-DeepHAR: Deep Learning Model for Human Activity Recognition in IoHT Applications

    Mohamed Abdel-Basset;Hossam Hawash;Ripon K. Chakrabortty;Michael Ryan

  • FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection

    Mohamed Abdel-Basset;Victor Chang;Hossam Hawash;Ripon Kumar Chakrabortty

  • PV-Net: An innovative deep learning approach for efficient forecasting of short-term photovoltaic energy production

    Mohamed Abdel-Basset;Hossam Hawash;Ripon K. Chakrabortty;Michael Ryan

  • Resource constrained project scheduling with uncertain activity durations

    Ripon Kumar Chakrabortty;Ruhul A. Sarker;Daryl Leslie Essam

  • An efficient teaching-learning-based optimization algorithm for parameters identification of photovoltaic models: Analysis and validations

    Mohamed Abdel-Basset;Reda Mohamed;Ripon K. Chakrabortty;Karam Sallam

  • Energy management of community energy storage in grid-connected microgrid under uncertain real-time prices

    Alamgir Hossain;Alamgir Hossain;Ripon K. Chakrabortty;Michael J. Ryan;Hemanshu Roy Pota

  • Selection of an Optimal Maintenance Strategy Under Uncertain Conditions: An Interval Type-2 Fuzzy AHP-TOPSIS Method

    Manoj Mathew;Ripon K. Chakrabortty;Michael J. Ryan

  • Multi-mode resource constrained project scheduling under resource disruptions

    Ripon Kumar Chakrabortty;Ruhul A. Sarker;Daryl Leslie Essam

  • Very Short-term Forecasting of Wind Power Generation using Hybrid Deep Learning Model

    Md. Alamgir Hossain;Ripon K. Chakrabortty;Sondoss Elsawah;Michael J. Ryan

Frequent Co-Authors

Michael J. Ryan
Michael J. Ryan University of New South Wales
Karam M. Sallam
Karam M. Sallam University of Sharjah
Daryl Essam
Daryl Essam University of New South Wales
Ruhul A. Sarker
Ruhul A. Sarker University of New South Wales
Seyedali Mirjalili
Seyedali Mirjalili Torrens University Australia
Sanjoy Paul
Sanjoy Paul University of Technology Sydney
Mohamed Elhoseny
Mohamed Elhoseny University of Sharjah
Saber M. Elsayed
Saber M. Elsayed University of New South Wales
Sajal K. Das
Sajal K. Das Missouri University of Science and Technology
Victor Chang
Victor Chang Aston University

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