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D-Index & Metrics

Computer Science

D-Index
34
Citations
6374
World Ranking
12015
National Ranking
4904

Shambhu Upadhyaya 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 Shambhu Upadhyaya 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: 281 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Shambhu Upadhyaya 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 Shambhu Upadhyaya 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Shambhu Upadhyaya is affiliated with the University at Buffalo, State University of New York in the United States. Their research primarily spans the fields of Computer Science and Psychology, with a focus on Information Systems, Signal Processing, and Clinical Psychology among other subfields.

Their work has been published in several notable academic venues, including:

  • Proceedings of the Annual Hawaii International Conference on System Sciences
  • Information Systems Frontiers
  • Journal of Organizational Psychology
  • Journal of the Association for Information Systems
  • ACM Transactions on Management Information Systems

Key research topics covered by Shambhu Upadhyaya include:

  • Information and Cyber Security
  • Advanced Malware Detection Techniques
  • Personality Traits and Psychology
  • Network Security and Intrusion Detection
  • Ethics in Business and Education
  • Cybercrime and Law Enforcement Studies
  • Adversarial Robustness in Machine Learning

Frequent collaborators in their research include:

  • G. Lawrence Sanders
  • Joana Gaia
  • Xunyi Wang
  • Sean Sanders
  • Chul Woo Yoo

Among their recent papers are:

  • Psychological Profiling of Hacking Potential, 2020, Proceedings of the Annual Hawaii International Conference on System Sciences
  • Advances in Secure Knowledge Management in the Artificial Intelligence Era, 2021, Information Systems Frontiers
  • Decepticon: a Theoretical Framework to Counter Advanced Persistent Threats, 2020, Information Systems Frontiers
  • An Activity Theory Approach to Leak Detection and Mitigation in Patient Health Information (PHI), 2021, Journal of the Association for Information Systems
  • Dark Traits and Hacking Potential, 2021, Journal of Organizational Psychology

Best Publications

  • Coordination in emergency response management

    Rui Chen;Raj Sharman;H. Raghav Rao;Shambhu J. Upadhyaya

  • Self-healing systems - survey and synthesis

    Debanjan Ghosh;Raj Sharman;H. Raghav Rao;Shambhu Upadhyaya

  • Factors influencing online health information search: An empirical analysis of a national cancer-related survey

    Nan Xiao;Raj Sharman;H. R. Rao;Shambhu Upadhyaya

  • Linear circuit fault diagnosis using neuromorphic analyzers

    R. Spina;S. Upadhyaya

  • A data-centric approach to insider attack detection in database systems

    Sunu Mathew;Michalis Petropoulos;Hung Q. Ngo;Shambhu Upadhyaya

  • Is RSSI a Reliable Parameter in Sensor Localization Algorithms – An Experimental Study

    Ambili Thottam Parameswaran;Mohammad Iftekhar Husain;Shambhu Upadhyaya

  • Towards a theory of insider threat assessment

    R. Chinchani;A. Iyer;H.Q. Ngo;S. Upadhyaya

  • Internet and Online Information Privacy: An Exploratory Study of Preteens and Early Teens

    Sangmi Chai;S. Bagchi-Sen;C. Morrell;H.R. Rao

  • Quantifying trust in mobile ad-hoc networks

    M. Virendra;M. Jadliwala;M. Chandrasekaran;S. Upadhyaya

  • Data model development for fire related extreme events: an activity theory approach

    Rui Chen;Raj Sharman;H. Raghav Rao;Shambhu J. Upadhyaya

  • Efficiency of critical incident management systems: Instrument development and validation

    Jin Ki Kim;Raj Sharman;H. Raghav Rao;Shambhu Upadhyaya

  • On programmable memory built-in self test architectures

    Kamran Zarrineh;Shambhu J. Upadhyaya

  • Emergency Response Information System Interoperability: Development of Chemical Incident Response Data Model *

    Rui Chen;Raj Sharman;Nirupama Chakravarti;H. Raghav Rao

  • PHONEY: mimicking user response to detect phishing attacks

    Madhusudhanan Chandrasekaran;Ramkumar Chinchani;Shambhu Upadhyaya

  • Security in grid computing: A review and synthesis

    Erin Cody;Raj Sharman;Raghav H. Rao;Shambhu Upadhyaya

  • Design principles for critical incident response systems

    Rui Chen;Raj Sharman;H. Raghav Rao;Shambhu J. Upadhyaya

  • Secure Distance-Based Localization in the Presence of Cheating Beacon Nodes

    Murtuza Jadliwala;Sheng Zhong;Shambhu J Upadhyaya;Chunming Qiao

  • Towards a Theory of Robust Localization Against Malicious Beacon Nodes

    Sheng Zhong;M. Jadliwala;S. Upadhyaya;Chunming Qiao

  • Secure and fault-tolerant voting in distributed systems

    B. Hardekopf;K. Kwiat;S. Upadhyaya

  • Shared keystroke dataset for continuous authentication

    Yan Sun;Hayreddin Ceker;Shambhu Upadhyaya

  • Profiling Users in GUI Based Systems for Masquerade Detection

    Unknown

  • DATA MODEL DEVELOPMENT FOR FIRE RELATED EXTREME EVENTS: AN ACTIVITY THEORY APPROACH 1

    Rui Chen;Raj Sharman;H. Raghav Rao;Shambhu J. Upadhyaya

Frequent Co-Authors

H. Raghav Rao
H. Raghav Rao The University of Texas at San Antonio
Hung Q. Ngo
Hung Q. Ngo University at Buffalo, State University of New York
Chunming Qiao
Chunming Qiao University at Buffalo, State University of New York
Kewal K. Saluja
Kewal K. Saluja University of Wisconsin–Madison
Hoang Pham
Hoang Pham Rutgers, The State University of New Jersey
David Mohaisen
David Mohaisen University of Central Florida
Sheng Zhong
Sheng Zhong Nanjing University
W.K. Fuchs
W.K. Fuchs University of Florida
Andrea Bondavalli
Andrea Bondavalli University of Florence
Dimitrios Koutsonikolas
Dimitrios Koutsonikolas Northeastern University

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