World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
6968
World Ranking
9295
National Ranking
3954

Nageswara S. V. Rao 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 Nageswara S. V. Rao 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: 408 publications — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Nageswara S. V. Rao 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 Nageswara S. V. Rao 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: 40 D-Index — 37th percentile

37% 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

  • 2008 - IEEE Fellow For contributions to algorithms for reliable communication in distributed sensor networks

Overview

Nageswara S. V. Rao is affiliated with Oak Ridge National Laboratory in the United States. Their research portfolio encompasses a range of topics primarily situated at the intersection of computer science and engineering.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these broad areas, Rao has contributed extensively to subfields such as:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Information Systems
  • Atomic and Molecular Physics, and Optics

The key topics covered in their work include:

  • Quantum Information and Cryptography
  • Quantum Computing Algorithms and Architecture
  • Software-Defined Networks and 5G
  • Cloud Computing and Resource Management
  • Distributed and Parallel Computing Systems
  • Quantum optics and atomic interactions
  • Advanced Electron Microscopy Techniques and Applications

Rao has been involved in a significant number of publications, with frequent venues reflecting their multidisciplinary expertise. Notable publication venues include:

  • arXiv (Cornell University)
  • Optics Express
  • Conference on Lasers and Electro-Optics
  • 2021 IEEE 24th International Conference on Information Fusion (FUSION)
  • Microscopy and Microanalysis

Recent papers showcasing their research activities include:

  • "Tumor microenvironment: Challenges and opportunities in targeting metastasis of triple negative breast cancer", 2020, Pharmacological Research
  • "Machine learning for automated experimentation in scanning transmission electron microscopy", 2023, npj Computational Materials
  • "Coexistent Quantum Channel Characterization Using Spectrally Resolved Bayesian Quantum Process Tomography", 2023, Physical Review Applied
  • "A Roadmap for Edge Computing Enabled Automated Multidimensional Transmission Electron Microscopy", 2022, Microscopy Today
  • "Two-mode squeezing over deployed fiber coexisting with conventional communications", 2023, Optics Express

Frequent collaborators in Rao's research projects include:

  • Anees Al-Najjar
  • Nicholas A. Peters
  • Muneer Alshowkan
  • Debangshu Mukherjee
  • Joseph M. Lukens

Rao's contributions to the field have been recognized with the award of IEEE Fellow in 2008 for work on algorithms related to reliable communication in distributed sensor networks.

Best Publications

  • On computing mobile agent routes for data fusion in distributed sensor networks

    Q. Wu;N.S.V. Rao;J. Barhen;S.S. Iyenger

  • Privacy vulnerability of published anonymous mobility traces

    Chris Y.T. Ma;David K.Y. Yau;Nung Kwan Yip;Nageswara S.V. Rao

  • Robot navigation in unknown terrains using learned visibility graphs. Part I: The disjoint convex obstacle case

    B. Oommen;S. Iyengar;N. Rao;R. Kashyap

  • Privacy vulnerability of published anonymous mobility traces

    Chris Y. T. Ma;David K. Y. Yau;Nung Kwan Yip;Nageswara S. V. Rao

  • Robot navigation in unknown terrains: Introductory survey of non-heuristic algorithms

    Unknown

  • Ultrascience net: network testbed for large-scale science applications

    N.S.V. Rao;W.R. Wing;S.M. Carter;Q. Wu

  • Markov Game Analysis for Attack-Defense of Power Networks Under Possible Misinformation

    Chris Y. T. Ma;David K. Y. Yau;Xin Lou;Nageswara S. V. Rao

  • CHEETAH: circuit-switched high-speed end-to-end transport architecture testbed

    Xuan Zheng;M. Veeraraghavan;N.S.V. Rao;Qishi Wu

  • On efficient deployment of sensors on planar grid

    Qishi Wu;Nageswara S. V. Rao;Xiaojiang Du;S. Sitharama Iyengar

  • DST-A routing protocol for ad hoc networks using distributed spanning trees

    S. Radhakrishnan;G. Racherla;C.N. Sekharan;N.S.V. Rao

  • QoS routing via multiple paths using bandwidth reservation

    N.S.V. Rao;S.G. Batsell

  • Computational complexity issues in operative diagnosis of graph-based systems

    N.S.V. Rao

  • Identification of Low-Level Point Radiation Sources Using a Sensor Network

    Nageswara S. V. Rao;Mallikarjun Shankar;Jren-Chit Chin;David K. Y. Yau

  • A 'retraction' method for learned navigation in unknown terrains for a circular robot

    N.S.V. Rao;N. Stoltzfus;S.S. Iyengar

  • Algorithmic framework for learned robot navigation in unknown terrains

    N.S.V. Rao

  • An integrated intelligent decision support system based on sensor and computer networks

    Qishi Wu;Mengxia Zhu;Nageswara S.V. Rao;S. Sitharama Iyengar;S. Sitharama Iyengar

  • Copula-Based Fusion of Correlated Decisions

    A Sundaresan;P K Varshney;N S V Rao

  • Distributed detection of a nuclear radioactive source using fusion of correlated decisions

    A. Sundaresan;P.K. Varshney;N.S.V. Rao

  • A Reconfigurable Quantum Local Area Network Over Deployed Fiber

    Muneer Alshowkan;Brian P. Williams;Philip G. Evans;Nageswara S. V. Rao

  • On fusers that perform better than best sensor

    N.S.V. Rao

  • On terrain acquisition by a point robot amidst polyhedral obstacles

    N.S.V. Rao;S.S. Iyengar;B.J. Oommen;R.L. Kashyap

  • Accurate localization of low-level radioactive source under noise and measurement errors

    Jren-Chit Chin;David K.Y. Yau;Nageswara S.V. Rao;Yong Yang

Frequent Co-Authors

S. Sitharama Iyengar
S. Sitharama Iyengar Florida International University
David K. Y. Yau
David K. Y. Yau Singapore University of Technology and Design
Richard R. Brooks
Richard R. Brooks Clemson University
Ian Foster
Ian Foster University of Chicago
Jun Zhuang
Jun Zhuang University at Buffalo, State University of New York
Xin Wang
Xin Wang Stony Brook University
Stephan Olariu
Stephan Olariu Old Dominion University
Sartaj Sahni
Sartaj Sahni University of Florida
B. V. K. Vijaya Kumar
B. V. K. Vijaya Kumar Carnegie Mellon University
Rangasami L. Kashyap
Rangasami L. Kashyap Purdue University West Lafayette

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