World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
19957
World Ranking
4953
National Ranking
2304

Shivnath Babu 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 Shivnath Babu 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: 148 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Shivnath Babu 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 Shivnath Babu 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Shivnath Babu is affiliated with Duke University in the United States and conducts research primarily in the fields of Engineering and Computer Science. Their work spans various subfields, including Electrical and Electronic Engineering, Information Systems, Artificial Intelligence, Automotive Engineering, and Computer Networks and Communications.

Their research focuses on several main topics, notably advancements in battery materials, advanced battery technologies research, and advanced battery materials and technologies. Additional areas of interest include extraction and separation processes, supercapacitor materials and fabrication, cloud data security solutions, and smart agriculture utilizing artificial intelligence.

Shivnath Babu has contributed to multiple publications in diverse venues. Frequent publication venues include Materials Today Proceedings, the 2022 8th International Conference on Smart Structures and Systems (ICSSS), Electrochimica Acta, the International Journal of Innovative Technology and Exploring Engineering, and the SSRN Electronic Journal.

Notable recent papers include:

  • MOF-derived porous NiCo2O4 nanofile arrays as an efficient anode material for rechargeable Li-ion batteries, 2023, Journal of Alloys and Compounds
  • Patient Health Monitoring System using IOT, 2022, 2022 8th International Conference on Smart Structures and Systems (ICSSS)
  • Detection of Rice Plant Disease Using Deep Learning Techniques, 2022, Journal of Mobile Multimedia
  • A Secure Framework for Privacy-Preserving Analytics in Healthcare Records Using Zero-Knowledge Proofs and Blockchain in Multi-Tenant Cloud Environments, 2024, IEEE Access

The scientist regularly collaborates with other researchers, including R. Pitchai, Wei-Ren Liu, P. Supraja, S. Anjanayya, and J. John Donald Raj. These frequent coauthors have contributed jointly to various studies, reflecting ongoing collaborative efforts.

Best Publications

  • Models and issues in data stream systems

    Brian Babcock;Shivnath Babu;Mayur Datar;Rajeev Motwani

  • The CQL continuous query language: semantic foundations and query execution

    Arvind Arasu;Shivnath Babu;Jennifer Widom

  • STREAM: the stanford stream data manager (demonstration description)

    Arvind Arasu;Brian Babcock;Shivnath Babu;Mayur Datar

  • Continuous queries over data streams

    Shivnath Babu;Jennifer Widom

  • Query Processing, Resource Management, and Approximation ina Data Stream Management System

    Rajeev Motwani;Jennifer Widom;Arvind Arasu;Brian Babcock

  • Starfish: A Self-tuning System for Big Data Analytics.

    Herodotos Herodotou;Harold Lim;Gang Luo;Nedyalko Borisov

  • Query Processing, Approximation, and Resource Management in a Data Stream Management System.

    Rajeev Motwani;Jennifer Widom;Arvind Arasu;Brian Babcock

  • Profiling, what-if analysis, and cost-based optimization of MapReduce programs

    Herodotos Herodotou;Shivnath Babu

  • STREAM: The Stanford Data Stream Management System

    Arvind Arasu;Brian Babcock;Shivnath Babu;John Cieslewicz

  • STREAM: The Stanford Stream Data Manager.

    Arvind Arasu;Brian Babcock;Shivnath Babu;Mayur Datar

  • Automated control in cloud computing: challenges and opportunities

    Harold C. Lim;Shivnath Babu;Jeffrey S. Chase;Sujay S. Parekh

  • Towards automatic optimization of MapReduce programs

    Shivnath Babu

  • Chain: operator scheduling for memory minimization in data stream systems

    Brian Babcock;Shivnath Babu;Rajeev Motwani;Mayur Datar

  • Automated control for elastic storage

    Harold C. Lim;Shivnath Babu;Jeffrey S. Chase

  • No one (cluster) size fits all: automatic cluster sizing for data-intensive analytics

    Herodotos Herodotou;Fei Dong;Shivnath Babu

  • Tuning database configuration parameters with iTuned

    Songyun Duan;Vamsidhar Thummala;Shivnath Babu

  • Adaptive ordering of pipelined stream filters

    Shivnath Babu;Rajeev Motwani;Kamesh Munagala;Itaru Nishizawa

  • Characterizing memory requirements for queries over continuous data streams

    Arvind Arasu;Brian Babcock;Shivnath Babu;Jon McAlister

  • STREAM: The Stanford Stream Data Manager.

    Arvind Arasu;Brian Babcock;Shivnath Babu;Mayur Datar

  • Operator scheduling in data stream systems

    Brian Babcock;Shivnath Babu;Mayur Datar;Rajeev Motwani

Frequent Co-Authors

Jennifer Widom
Jennifer Widom Stanford University
Arvind Arasu
Arvind Arasu Microsoft (United States)
Rajeev Motwani
Rajeev Motwani Stanford University
Ashraf Aboulnaga
Ashraf Aboulnaga The University of Texas at Arlington
Kamesh Munagala
Kamesh Munagala Duke University
Jeffrey S. Chase
Jeffrey S. Chase Duke University
Jun Yang
Jun Yang Duke University
Minos Garofalakis
Minos Garofalakis Technical University of Crete
Rajeev Rastogi
Rajeev Rastogi Amazon (United States)
David J. DeWitt
David J. DeWitt University of Wisconsin–Madison

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