World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
11053
World Ranking
5833
National Ranking
2650

R. C. Sekar 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 R. C. Sekar 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: 119 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

R. C. Sekar 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 R. C. Sekar 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Programming language
  • Microsoft Windows

Computer security, Intrusion detection system, Exploit, Anomaly detection and Buffer overflow are his primary areas of study. His work on Security policy, Code Access Security and Malware as part of general Computer security study is frequently connected to Verification procedure, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. The study incorporates disciplines such as System call, Attack model, Internet privacy and Access control in addition to Intrusion detection system.

His work on Memory corruption as part of general Exploit study is frequently linked to SQL injection, therefore connecting diverse disciplines of science. His Buffer overflow research is multidisciplinary, incorporating perspectives in Address space, Information leakage, Return-oriented programming and Address space layout randomization. His study looks at the intersection of Address space layout randomization and topics like Stack buffer overflow with Code and Executable.

His most cited work include:

  • Address obfuscation: an efficient approach to combat a board range of memory error exploits (535 citations)
  • A fast automaton-based method for detecting anomalous program behaviors (533 citations)
  • Specification-based anomaly detection: a new approach for detecting network intrusions (355 citations)

What are the main themes of his work throughout his whole career to date?

R. C. Sekar mostly deals with Computer security, Exploit, Intrusion detection system, Theoretical computer science and Operating system. His Computer security research incorporates elements of Buffer overflow, Software and Server. R. C. Sekar interconnects Address space layout randomization and Source code in the investigation of issues within Buffer overflow.

His Memory corruption study, which is part of a larger body of work in Exploit, is frequently linked to SQL injection, bridging the gap between disciplines. His work deals with themes such as Network packet, Anomaly detection, System call, Specification language and Key, which intersect with Intrusion detection system. R. C. Sekar combines subjects such as Pointer and Code with his study of Operating system.

He most often published in these fields:

  • Computer security (36.44%)
  • Exploit (16.10%)
  • Intrusion detection system (15.25%)

What were the highlights of his more recent work (between 2012-2020)?

  • Computer security (36.44%)
  • Operating system (11.86%)
  • Malware (8.47%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Computer security, Operating system, Malware, Compiler and Scalability. His Computer security study incorporates themes from Adversarial system, Software, Software deployment and Distributed computing. His Operating system study combines topics from a wide range of disciplines, such as Pointer and Code.

His studies in Malware integrate themes in fields like Exploit, Cyber-attack, Usability and Access control. His research investigates the link between Cyber-attack and topics such as Constant false alarm rate that cross with problems in Intrusion detection system. His Intrusion detection system study deals with Automaton intersecting with Algorithm.

Between 2012 and 2020, his most popular works were:

  • Control flow integrity for COTS binaries (311 citations)
  • Code-pointer integrity (268 citations)
  • Eternal War in Memory (85 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Programming language
  • Microsoft Windows

R. C. Sekar focuses on Computer security, Memory corruption, Exploit, Scalability and Malware. His research in Memory corruption intersects with topics in Control flow and Memory safety. His Control flow research also works with subjects such as

  • Loader, which have a strong connection to Software and Return-oriented programming,
  • Delegate, which have a strong connection to Operating system.

His Exploit research incorporates themes from Spec# and Software security assurance. His Scalability study combines topics in areas such as Data compaction and Computer engineering. His research integrates issues of Cyber-attack, Constant false alarm rate, Buffer overflow, Intrusion detection system and Security bug in his study of Malware.

Best Publications

  • A fast automaton-based method for detecting anomalous program behaviors

    R. Sekar;M. Bendre;D. Dhurjati;P. Bollineni

  • Address obfuscation: an efficient approach to combat a board range of memory error exploits

    Sandeep Bhatkar;Daniel C. DuVarney;R. Sekar

  • Control flow integrity for COTS binaries

    Mingwei Zhang;R. Sekar

  • Specification-based anomaly detection: a new approach for detecting network intrusions

    R. Sekar;A. Gupta;J. Frullo;T. Shanbhag

  • Taint-enhanced policy enforcement: a practical approach to defeat a wide range of attacks

    Wei Xu;Sandeep Bhatkar;R. Sekar

  • Code-pointer integrity

    Volodymyr Kuznetsov;László Szekeres;Mathias Payer;George Candea

  • HOLMES: Real-Time APT Detection through Correlation of Suspicious Information Flows

    Sadegh Momeni Milajerdi;Rigel Gjomemo;Birhanu Eshete;R. Sekar

  • Efficient techniques for comprehensive protection from memory error exploits

    Sandeep Bhatkar;R. Sekar;Daniel C. DuVarney

  • Model-carrying code: a practical approach for safe execution of untrusted applications

    R. Sekar;V.N. Venkatakrishnan;Samik Basu;Sandeep Bhatkar

  • Fast and automated generation of attack signatures: a basis for building self-protecting servers

    Zhenkai Liang;R. Sekar

  • Experiences with Specification-Based Intrusion Detection

    Prem Uppuluri;R. Sekar

  • Data Space Randomization

    Sandeep Bhatkar;R. Sekar

  • On the Limits of Information Flow Techniques for Malware Analysis and Containment

    Lorenzo Cavallaro;Prateek Saxena;R. Sekar

  • A high-performance network intrusion detection system

    R. Sekar;Y. Guang;S. Verma;T. Shanbhag

  • An efficient and backwards-compatible transformation to ensure memory safety of C programs

    Wei Xu;Daniel C. DuVarney;R. Sekar

  • Model-based analysis of configuration vulnerabilities

    C. R. Ramakrishnan;R. Sekar

  • User-Level Infrastructure for System Call Interposition: A Platform for Intrusion Detection and Confinement.

    K. Jain;R. Sekar

  • Dataflow anomaly detection

    S. Bhatkar;A. Chaturvedi;R. Sekar

  • An Efficient Black-box Technique for Defeating Web Application Attacks.

    R. Sekar

  • Synthesizing fast intrusion prevention/detection systems from high-level specifications

    R. Sekar;P. Uppuluri

  • {SLEUTH}: Real-time Attack Scenario Reconstruction from {COTS} Audit Data

    Nahid Hossain;Sadegh M. Milajerdi;Junao Wang;Birhanu Eshete

  • Chapter 26 – Term Indexing

    R. Sekar;I.V. Ramakrishnan;Andrei Voronkov

Frequent Co-Authors

I. V. Ramakrishnan
I. V. Ramakrishnan Stony Brook University
V. N. Venkatakrishnan
V. N. Venkatakrishnan University of Illinois at Chicago
C. R. Ramakrishnan
C. R. Ramakrishnan Stony Brook University
Zhenkai Liang
Zhenkai Liang National University of Singapore
Scott D. Stoller
Scott D. Stoller Stony Brook University
Mathias Payer
Mathias Payer École Polytechnique Fédérale de Lausanne
Prateek Saxena
Prateek Saxena National University of Singapore
George Candea
George Candea École Polytechnique Fédérale de Lausanne
Dawn Song
Dawn Song University of California, Berkeley

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