World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
5490
World Ranking
9416
National Ranking
3987

Priya Narasimhan 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 Priya Narasimhan 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: 180 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Priya Narasimhan 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 Priya Narasimhan 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: 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

  • 2007 - Fellow of Alfred P. Sloan Foundation

Overview

Priya Narasimhan is affiliated with Carnegie Mellon University in the United States and has contributed extensively to the field of computer science. Their research primarily focuses on areas such as information systems, signal processing, computer networks and communications, computer vision and pattern recognition, and artificial intelligence.

Narasimhan's recent publications include:

  • Securing the Metaverse: AI-Driven Solutions for Cyber Security, Privacy, and User Trust (2024) published in the International Journal of Scientific Research in Computer Science Engineering and Information Technology
  • From Evidence to Insight: AI in Digital Forensics (2024) published in the International Journal of Scientific Research in Computer Science Engineering and Information Technology

The scientist has frequently published in the International Journal of Scientific Research in Computer Science Engineering and Information Technology, contributing 12 papers in total. Other venues include the International Journal of Business Continuity and Risk Management, the 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), the International Journal of Scientific Research in Science and Technology, and the International Journal of Internet Manufacturing and Services.

Key research topics explored by Narasimhan encompass:

  • Advanced Malware Detection Techniques
  • Digital and Cyber Forensics
  • Cybercrime and Law Enforcement Studies
  • Network Security and Intrusion Detection
  • Digital Media Forensic Detection
  • Advanced Steganography and Watermarking Techniques
  • Internet Traffic Analysis and Secure E-voting

The scientist has collaborated frequently with several co-authors, including Dr. N. Kala, Niranjan Kala, Jayanta Mondal, V. S. Damodharan, and Satyajit Pattnaik. These collaborations have supported research output across the aforementioned topics and publication venues.

Narasimhan's work integrates advanced computational methods in cybersecurity, digital evidence analysis, and edge-centric real-time applications. Their contributions demonstrate a focus on integrating AI-driven solutions with practical concerns of trust, privacy, and proactive security design in digital environments.

They have also been recognized with the award of Fellow of the Alfred P. Sloan Foundation in 2007.

Best Publications

  • An Analysis of Traces from a Production MapReduce Cluster

    Soila Kavulya;Jiaqi Tan;Rajeev Gandhi;Priya Narasimhan

  • Consistent object replication in the eternal system

    L. E. Moser;P. M. Melliar-Smith;P. Narasimhan

  • Sluice: Secure Dissemination of Code Updates in Sensor Networks

    P.E. Lanigan;R. Gandhi;P. Narasimhan

  • Cachier: Edge-Caching for Recognition Applications

    Utsav Drolia;Katherine Guo;Jiaqi Tan;Rajeev Gandhi

  • Experiences, strategies, and challenges in building fault-tolerant CORBA systems

    P. Felber;P. Narasimhan

  • Thema: Byzantine-fault-tolerant middleware for Web-service applications

    M.G. Merideth;Arun Iyengar;T. Mikalsen;S. Tai

  • SALSA: analyzing logs as state machines

    Jiaqi Tan;Xinghao Pan;Soila Kavulya;Rajeev Gandhi

  • The Case for Mobile Edge-Clouds

    Utsav Drolia;Rolando Martins;Jiaqi Tan;Ankit Chheda

  • Ganesha: blackBox diagnosis of MapReduce systems

    Xinghao Pan;Jiaqi Tan;Soila Kavulya;Rajeev Gandhi

  • Using Interceptors to Enhance CORBA

    Unknown

  • Trinetra: Assistive Technologies for Grocery Shopping for the Blind

    Patrick Lanigan;Aaron Paulos;Andrew Williams;Dan Rossi

  • Undergraduate embedded system education at Carnegie Mellon

    Philip Koopman;Howie Choset;Rajeev Gandhi;Bruce Krogh

  • Mochi: visual log-analysis based tools for debugging hadoop

    Jiaqi Tan;Xinghao Pan;Soila Kavulya;Rajeev Gandhi

  • MEAD: support for Real‐Time Fault‐Tolerant CORBA

    Priya Narasimhan;Tudor Dumitras;Aaron M. Paulos;Soila M. Pertet

  • The Eternal system: an architecture for enterprise applications

    L.E. Moser;P.M. Melliar-Smith;P. Narasimhan;L.A. Tewksbury

  • Kahuna: Problem diagnosis for Mapreduce-based cloud computing environments

    Jiaqi Tan;Xinghao Pan;Eugene Marinelli;Soila Kavulya

  • Transparent fault tolerance for corba

    Priya Narasimhan;Louise E. Moser

  • Tiresias: Black-Box Failure Prediction in Distributed Systems

    A.W. Williams;S.M. Pertet;Priya Narasimhan

  • Why do upgrades fail and what can we do about it?: toward dependable, online upgrades in enterprise system

    Tudor Dumitraş;Priya Narasimhan

  • Black-box problem diagnosis in parallel file systems

    Michael P. Kasick;Jiaqi Tan;Rajeev Gandhi;Priya Narasimhan

  • Causes of Failure in Web Applications (CMU-PDL-05-109)

    Soila Pertet;Priya Narasimhan

  • Secure dissemination of code updates in sensor networks

    Patrick E. Lanigan;Rajeev Gandhi;Priya Narasimhan

Frequent Co-Authors

Louise E. Moser
Louise E. Moser University of California, Santa Barbara
Vana Kalogeraki
Vana Kalogeraki Athens University of Economics and Business
John Wilkes
John Wilkes Google (United States)
Daniel P. Siewiorek
Daniel P. Siewiorek Carnegie Mellon University
Asit Dan
Asit Dan IBM (United States)
Pascal Felber
Pascal Felber University of Neuchâtel
Ragunathan Rajkumar
Ragunathan Rajkumar Carnegie Mellon University
Paulo Veríssimo
Paulo Veríssimo King Abdullah University of Science and Technology
Aniruddha Gokhale
Aniruddha Gokhale Vanderbilt University
Paul Ward
Paul Ward Torrens University Australia

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