World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
14943
World Ranking
6678
National Ranking
2948

Soundar R. T. Kumara 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 Soundar R. T. Kumara 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: 269 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Soundar R. T. Kumara 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 Soundar R. T. Kumara 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: 46 D-Index — 53rd percentile

53% 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

  • 2013 - Fellow of the American Society of Mechanical Engineers
  • 2012 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Soundar R. T. Kumara is affiliated with Pennsylvania State University in the United States. Their research primarily spans the fields of engineering and computer science, with a significant focus on industrial and manufacturing engineering, artificial intelligence, mechanical engineering, electrical and electronic engineering, and automotive engineering.

The scientist's work covers a variety of topics, including:

  • Manufacturing Process and Optimization
  • Industrial Vision Systems and Defect Detection
  • Additive Manufacturing and 3D Printing Technologies
  • Additive Manufacturing Materials and Processes
  • COVID-19 diagnosis using AI
  • COVID-19 epidemiological studies
  • Data-Driven Disease Surveillance

Frequent publication venues include:

  • Manufacturing Letters
  • Journal of Computing and Information Science in Engineering
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Manufacturing Processes
  • IEEE Robotics and Automation Letters

Coauthors often collaborating with Kumara are:

  • Hui Yang
  • Paul Witherell
  • Ankur Verma
  • Timothy W. Simpson
  • Yan Lu

Recent papers include:

  • "Site suitability analysis for implementing solar PV power plants using GIS and fuzzy MCDM based approach," 2022, published in Solar Energy
  • "Six-Sigma Quality Management of Additive Manufacturing," 2020, published in Proceedings of the IEEE
  • "Early Stage Machine Learning-Based Prediction of US County Vulnerability to the COVID-19 Pandemic: Machine Learning Approach," 2020, published in JMIR Public Health and Surveillance
  • "Ontology-Driven Learning of Bayesian Network for Causal Inference and Quality Assurance in Additive Manufacturing," 2021, published in IEEE Robotics and Automation Letters
  • "Edge-cloud computing performance benchmarking for IoT based machinery vibration monitoring," 2020, published in Manufacturing Letters

Recognition for Kumara's work includes being named a Fellow of the American Society of Mechanical Engineers in 2013 and a Fellow of the American Association for the Advancement of Science (AAAS) in 2012.

Best Publications

  • Near linear time algorithm to detect community structures in large-scale networks.

    Usha Nandini Raghavan;Réka Albert;Soundar Kumara

  • Cyber-physical systems in manufacturing

    L. Monostori;L. Monostori;B. Kádár;T. Bauernhansl;T. Bauernhansl;S. Kondoh

  • Supply-chain networks: a complex adaptive systems perspective

    Amit Surana;Soundar Kumara;Mark Greaves;Usha Nandini Raghavan

  • A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests

    Dazhong Wu;Connor Jennings;Janis Terpenny;Robert X. Gao

  • Cloud-enabled prognosis for manufacturing

    Robert Gao;Lihui Wang;Roberto Teti;David Dornfeld

  • The Internet of Things for Smart Manufacturing: A Review

    Hui Yang;Soundar R. T. Kumara;Satish T. S. Bukkapatnam;Fugee Tsung

  • Survivability of multiagent-based supply networks: a topological perspect

    Thadakamaila Hp;U.N. Raghavan;S. Kumara;R. Albert

  • Effective Web Service Composition in Diverse and Large-Scale Service Networks

    S.-C. Oh;D. Lee;S.R. Kumara

  • Cooperative and responsive manufacturing enterprises

    J. Vancza;L. Monostori;Diederick Lutters;S.R. Kumara

  • Distributed energy balanced routing for wireless sensor networks

    Chang-Soo Ok;Seokcheon Lee;Prasenjit Mitra;Soundar Kumara

  • A Methodology for Product Family Ontology Development Using Formal Concept Analysis and Web Ontology Language

    Jyotirmaya Nanda;Timothy W. Simpson;Soundar R. T. Kumara;Steven B. Shooter

  • Intelligent Computing Methods for Manufacturing Systems

    R. Teti;S.R.T. Kumara

  • An unsupervised machine learning model for discovering latent infectious diseases using social media data

    Sung Hoon Lim;Conrad S. Tucker;Soundar R. T. Kumara

  • Web Service Planner (WSPR): An effective and scalable web service composition algorithm

    Seog Chan Oh;Dongwon Lee;Soundar R T Kumara

  • A comparative illustration of AI planning-based web services composition

    Seog-Chan Oh;Dongwon Lee;Soundar R. T. Kumara

  • Multiagent based dynamic resource scheduling for distributed multiple projects using a market mechanism

    Yong-Han Lee;Soundar R. T. Kumara;Kalyan Chatterjee

  • Manufacturing in the Digital Age: Exploiting Information Technologies for Product Realization

    Anantaram Balakrishnan;Soundar R. T. Kumara;Shankar Sundaresan

  • Analysis of sensor signals shows turning on a lathe exhibits low-dimensional chaos.

    Satishmohan T. S. Bukkapatnam;Akhlesh Lakhtakia;Soundar R. T. Kumara

  • A module-based service model for mass customization: service family design

    Seung Ki Moon;Jun Shu;Timothy W. Simpson;Soundar R.T. Kumara

  • Complex Networks: An Engineering View

    LiYing Cui;Soundar Kumara;Réka Albert

Frequent Co-Authors

Timothy W. Simpson
Timothy W. Simpson Pennsylvania State University
Satish T. S. Bukkapatnam
Satish T. S. Bukkapatnam Texas A&M University
Akhlesh Lakhtakia
Akhlesh Lakhtakia Pennsylvania State University
Réka Albert
Réka Albert Pennsylvania State University
László Monostori
László Monostori Budapest University of Technology and Economics
Prasenjit Mitra
Prasenjit Mitra Pennsylvania State University
Asok Ray
Asok Ray Pennsylvania State University
Robert X. Gao
Robert X. Gao Case Western Reserve University
Dazhong Wu
Dazhong Wu University of Central Florida
Robert Stone
Robert Stone Oregon State University

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