World's Best Scientists 2026 revealed!
Tshilidzi Marwala

Tshilidzi Marwala

D-Index & Metrics

Computer Science

D-Index
42
Citations
7759
World Ranking
8359
National Ranking
112

Tshilidzi Marwala 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 Tshilidzi Marwala 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 564 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Tshilidzi Marwala 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 Tshilidzi Marwala sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 42 D-Index — 43rd percentile

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

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

Research.com Recognitions

  • 2010 - Fellow, The World Academy of Sciences
  • 2010 - ACM Distinguished Member
  • 2009 - ACM Senior Member

Overview

Tshilidzi Marwala is affiliated with the United Nations University in Japan. Their research spans several main fields, including Computer Science, Economics, Econometrics and Finance, and Mathematics. This interdisciplinary scope reflects a broad engagement with both theoretical and applied aspects of these domains.

Their work covers a number of subfields, such as Artificial Intelligence, Economics and Econometrics, Statistics and Probability, Management Science and Operations Research, and Finance. Among the primary topics explored in their research are Markov Chains and Monte Carlo Methods, Stock Market Forecasting Methods, Complex Systems and Time Series Analysis, Gaussian Processes and Bayesian Inference, Computability, Logic, AI Algorithms, Decision-Making and Behavioral Economics, as well as COVID-19 epidemiological studies.

Frequent publication venues for their work include IEEE Access, arXiv (Cornell University), PLoS ONE, bioRxiv (Cold Spring Harbor Laboratory), and Neural Computing and Applications.

Some recent papers authored or co-authored by Tshilidzi Marwala are:

  • Bayesian inference of COVID-19 spreading rates in South Africa (2020, PLoS ONE)
  • Separable Shadow Hamiltonian Hybrid Monte Carlo for Bayesian Neural Network Inference in wind speed forecasting (2021, Energy and AI)
  • Stock Price Prediction Using Sentiment Analysis (2021, 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC))
  • Antithetic Magnetic and Shadow Hamiltonian Monte Carlo (2021, IEEE Access)
  • Bayesian inference of local government audit outcomes (2021, PLoS ONE)

Frequent co-authors in their research include Rendani Mbuvha, Wilson Tsakane Mongwe, Tankiso Moloi, Peter Olukanmi, and Fulufhelo V. Nelwamondo.

Tshilidzi Marwala has contributed to book publications with several academic publishers. Titles include "Artificial Intelligence and Emerging Technologies in International Relations" (2020) and "On Rationality, Artificial Intelligence and Economics" (2022) with World Scientific, "Artificial Intelligence in Economics and Finance Theories" (2020) published by Advanced Information and Knowledge Processing, and "Artificial Intelligence and the Changing Nature of Corporations" (2021) with Springer International Publishing.

The scientist has also been recognized with distinctions such as ACM Distinguished Member (2010), Fellow of The World Academy of Sciences (2010), and ACM Senior Member (2009).

Best Publications

  • Finite Element Model Updating Using Computational Intelligence Techniques: Applications to Structural Dynamics

    Tshilidzi Marwala

  • The use of genetic algorithms and neural networks to approximate missing data in database

    Mussa Abdella;Tshilidzi Marwala

  • Missing data: A comparison of neural network and expectation maximization techniques

    Fulufhelo V. Nelwamondo;Shakir Mohamed;Tshilidzi Marwala

  • DAMAGE IDENTIFICATION USING COMMITTEE OF NEURAL NETWORKS

    Tshilidzi Marwala

  • Computational Intelligence for Missing Data Imputation, Estimation, and Management: Knowledge Optimization Techniques

    Tshilidzi Marwala

  • FAULT IDENTIFICATION USING FINITE ELEMENT MODELS AND NEURAL NETWORKS

    T. Marwala;H.E.M. Hunt

  • EARLY CLASSIFICATIONS OF BEARING FAULTS USING HIDDEN MARKOV MODELS, GAUSSIAN MIXTURE MODELS, MEL-FREQUENCY CEPSTRAL COEFFICIENTS AND FRACTALS

    Fulufhelo V. Nelwamondo;Tshilidzi Marwala;Unathi Mahola

  • Water Demand Prediction using Artificial Neural Networks and Support Vector Regression

    Ishmael S. Msiza;Fulufhelo Vincent Nelwamondo;Tshilidzi Marwala

  • Militarized Conflict Modeling Using Computational Intelligence

    Tshilidzi Marwala;Monica Lagazio

  • Image Classification Using SVMs: One-against-One Vs One-against-All

    Anthony Gidudu;Greg Hulley;Tshilidzi Marwala

  • Condition Monitoring Using Computational Intelligence Methods

    Tshilidzi Marwala

  • Model selection in finite element model updating using the Bayesian evidence statistic

    Linda Mthembu;Tshilidzi Marwala;Michael I. Friswell;Sondipon Adhikari

  • Economic Modeling Using Artificial Intelligence Methods

    Tshilidzi Marwala

  • Autoencoder networks for HIV classification

    Brain Leke Betechuoh;Tshilidzi Marwala;Thando Tettey

  • Bayesian training of neural networks using genetic programming

    Tshilidzi Marwala

  • Finite Element Model Updating Using Bayesian Framework and Modal Properties

    Tshilidzi Marwala;Sibusiso Sibisi

  • Probabilistic Fault Identification Using a Committee of Neural Networks and Vibration Data

    Tshilidzi Marwala

  • A new T-S fuzzy model predictive control for nonlinear processes

    Ilyes Boulkaibet;Khaled Belarbi;Sofiane Bououden;Tshilidzi Marwala

  • Machine and component residual life estimation through the application of neural networks

    M. A. Herzog;Tshilidzi Marwala;P. S. Heyns

  • Missing Data Imputation Through the Use of the Random Forest Algorithm

    Adam Pantanowitz;Tshilidzi Marwala

  • Missing Data: A Comparison of Neural Network and Expectation Maximisation Techniques

    Fulufhelo V. Nelwamondo;Shakir Mohamed;Tshilidzi Marwala

Frequent Co-Authors

Snehashish Chakraverty
Snehashish Chakraverty National Institute of Technology Rourkela
A. Varada Rajulu
A. Varada Rajulu Kalasalingam Academy of Research and Education
Marc Peter Deisenroth
Marc Peter Deisenroth University College London
Mohammed Chadli
Mohammed Chadli University of Paris-Saclay
Sanjeevikumar Padmanaban
Sanjeevikumar Padmanaban University of South-Eastern Norway
Esther T. Akinlabi
Esther T. Akinlabi University of Johannesburg
Qing-Guo Wang
Qing-Guo Wang University of Johannesburg
Wendy S. Stevens
Wendy S. Stevens National Health Laboratory Service

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