World's Best Scientists 2026 revealed!
Marimuthu Palaniswami

Marimuthu Palaniswami

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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
73
Citations
36521
World Ranking
1543
National Ranking
43

Marimuthu Palaniswami 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 Marimuthu Palaniswami 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: 578 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

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

Marimuthu Palaniswami 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 Marimuthu Palaniswami 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: 73 D-Index — 89th percentile

89% 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

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award
  • 2012 - IEEE Fellow For contributions to computational intelligence, learning systems, and nonlinear modelling

Overview

Marimuthu Palaniswami is affiliated with the University of Melbourne in Australia and conducts research primarily in the fields of Computer Science, Medicine, and Engineering. Their work spans multiple subfields including Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, and Cardiology and Cardiovascular Medicine.

The research topics covered by Palaniswami include:

  • IoT and Edge/Fog Computing
  • Age of Information Optimization
  • EEG and Brain-Computer Interfaces
  • ECG Monitoring and Analysis
  • Non-Invasive Vital Sign Monitoring
  • Neonatal and fetal brain pathology
  • Gas Sensing Nanomaterials and Sensors

Several recent papers authored or coauthored by Palaniswami include:

  • "An Application Placement Technique for Concurrent IoT Applications in Edge and Fog Computing Environments," 2020, IEEE Transactions on Mobile Computing
  • "Real-time monitoring of construction sites: Sensors, methods, and applications," 2022, Automation in Construction
  • "A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments," 2021, IEEE Transactions on Mobile Computing
  • "Vision-based automated crack detection using convolutional neural networks for condition assessment of infrastructure," 2020, Structural Health Monitoring
  • "Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions," 2022, ACM Computing Surveys

Frequent coauthors include:

  • Aravinda S. Rao
  • Chandan Karmakar
  • Emerson Keenan
  • Nandakishor Desai
  • Rajkumar Buyya

Palaniswami's publications have appeared often in venues such as arXiv (Cornell University), IEEE Transactions on Cognitive Communications and Networking, SSRN Electronic Journal, IEEE Transactions on Mobile Computing, and Structural Health Monitoring.

In 2012, Palaniswami was awarded the IEEE Fellow recognition for contributions to computational intelligence, learning systems, and nonlinear modelling.

Best Publications

  • Internet of Things (IoT): A vision, architectural elements, and future directions

    Jayavardhana Gubbi;Rajkumar Buyya;Slaven Marusic;Marimuthu Palaniswami

  • An Information Framework for Creating a Smart City Through Internet of Things

    Jiong Jin;Jayavardhana Gubbi;Slaven Marusic;Marimuthu Palaniswami

  • Do existing measures of Poincare plot geometry reflect nonlinear features of heart rate variability

    M. Brennan;M. Palaniswami;P. Kamen

  • Fuzzy c-Means Algorithms for Very Large Data

    T. C. Havens;J. C. Bezdek;C. Leckie;L. O. Hall

  • Support vector machines for automated gait classification

    R.K. Begg;M. Palaniswami;B. Owen

  • Support Vector Machines for Automated Recognition of Obstructive Sleep Apnea Syndrome From ECG Recordings

    A.H. Khandoker;M. Palaniswami;C.K. Karmakar

  • Poincaré plot interpretation using a physiological model of HRV based on a network of oscillators.

    Michael Brennan;Marimuthu Palaniswami;Peter Kamen

  • Energy-efficient link-layer jamming attacks against wireless sensor network MAC protocols

    Yee Wei Law;Marimuthu Palaniswami;Lodewijk Van Hoesel;Jeroen Doumen

  • Anomaly detection in wireless sensor networks

    S. Rajasegarar;C. Leckie;M. Palaniswami

  • Real-time monitoring of construction sites: Sensors, methods, and applications

    Unknown

  • Distributed Anomaly Detection in Wireless Sensor Networks

    S. Rajasegarar;C. Leckie;M. Palaniswami;J.C. Bezdek

  • Intrusion Detection for Routing Attacks in Sensor Networks

    Chong Eik Loo;Mun Yong Ng;Christopher Leckie;Marimuthu Palaniswami

  • An Application Placement Technique for Concurrent IoT Applications in Edge and Fog Computing Environments

    Mohammad Goudarzi;Huaming Wu;Marimuthu Palaniswami;Rajkumar Buyya

  • Incremental training of support vector machines

    A. Shilton;M. Palaniswami;D. Ralph;Ah Chung Tsoi

  • Smoke detection in video using wavelets and support vector machines

    Jayavardhana Gubbi;Slaven Marusic;Marimuthu Palaniswami

  • Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks

    S. Rajasegarar;C. Leckie;M. Palaniswami;J.C. Bezdek

  • PPFA: Privacy Preserving Fog-Enabled Aggregation in Smart Grid

    Lingjuan Lyu;Karthik Nandakumar;Ben Rubinstein;Jiong Jin

  • Static and dynamic channel assignment using neural networks

    K. Smith;M. Palaniswami

  • Complex Correlation Measure: a novel descriptor for Poincaré plot

    Chandan K Karmakar;Ahsan H Khandoker;Jayavardhana Gubbi;Marimuthu Palaniswami

  • An adaptive tracking controller using neural networks for a class of nonlinear systems

    M. Zhihong;H.R. Wu;M. Palaniswami

  • Optimal flow control and routing in multi-path networks

    Wei-Hua Wang;Marimuthu Palaniswami;Steven H. Low

Frequent Co-Authors

Sutharshan Rajasegarar
Sutharshan Rajasegarar Deakin University
Christopher Leckie
Christopher Leckie University of Melbourne
James C. Bezdek
James C. Bezdek University of Melbourne
Jiong Jin
Jiong Jin Swinburne University of Technology
Gang Feng
Gang Feng City University of Hong Kong
Ganesh R. Naik
Ganesh R. Naik Flinders University
Terence J. O'Brien
Terence J. O'Brien Monash University
Kotagiri Ramamohanarao
Kotagiri Ramamohanarao University of Melbourne
Kate A. Smith
Kate A. Smith Monash University
Terry Caelli
Terry Caelli Deakin University

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