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Computer Science

D-Index
40
Citations
7901
World Ranking
9207
National Ranking
3918

Prakash P. Shenoy 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 Prakash P. Shenoy 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: 143 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Prakash P. Shenoy 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 Prakash P. Shenoy 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.

Overview

Prakash P. Shenoy is affiliated with the University of Kansas in the United States and has contributed extensively to research in computer science, decision sciences, and mathematics. Their scholarly work primarily focuses on artificial intelligence, statistics and probability, and management science and operations research, along with specific interests in general decision sciences and computer vision and pattern recognition.

Their research corpus includes 22 publications in computer science, 8 in decision sciences, and 8 in mathematics. Subfields of particular focus are artificial intelligence with 20 publications, statistics and probability with 8, management science and operations research with 7, and contributions in general decision sciences and computer vision and pattern recognition.

Their main research topics cover Bayesian modeling and causal inference, multi-criteria decision making, logic, reasoning and knowledge, fuzzy systems and optimization, statistical methods and inference, advanced statistical methods and models, and machine learning applications in healthcare.

Research venues where Prakash P. Shenoy has frequently published include:

  • International Journal of Approximate Reasoning
  • SSRN Electronic Journal
  • INFORMS Journal on Computing
  • Journal of Advanced Zoology

Notable recent papers authored or co-authored by Prakash P. Shenoy include:

  • On properties of a new decomposable entropy of Dempster-Shafer belief functions, 2020, International Journal of Approximate Reasoning
  • An interval-valued utility theory for decision making with Dempster-Shafer belief functions, 2020, International Journal of Approximate Reasoning
  • Entropy for evaluation of Dempster-Shafer belief function models, 2022, International Journal of Approximate Reasoning
  • Making inferences in incomplete Bayesian networks: A Dempster-Shafer belief function approach, 2023, International Journal of Approximate Reasoning
  • On conditional belief functions in directed graphical models in the Dempster-Shafer theory, 2023, International Journal of Approximate Reasoning

Frequent collaborators include Radim Jiroušek, Václav Kratochvíl, Yi Tan, Ben Sherwood, and Thierry Denœux. These coauthors have worked together on multiple papers contributing to the field of approximate reasoning and belief function theory.

Best Publications

  • Axioms for probability and belief-function propagation

    Prakash P. Shenoy;Glenn Shafer

  • A causal mapping approach to constructing Bayesian networks

    Sucheta Nadkarni;Prakash P. Shenoy

  • Valuation-based systems for Bayesian decision analysis

    Prakash P. Shenoy

  • Propagating Belief Functions with Local Computations

    Prakash P. Shenoy;Glenn Shafer

  • A Bayesian network approach to making inferences in causal maps

    Sucheta Nadkarni;Prakash P Shenoy

  • Propagating belief functions in qualitative Markov trees

    Glenn Shafer;Prakash P. Shenoy;Khaled Mellouli

  • Probability propagation

    Unknown

  • On coalition formation: a game-theoretical approach

    Prakash P. Shenoy

  • On the plausibility transformation method for translating belief function models to probability models

    Barry R. Cobb;Prakash P. Shenoy

  • A valuation-based language for expert systems

    P. P. Shenoy

  • Using Bayesian networks for bankruptcy prediction: Some methodological issues

    Lili Sun;Prakash P. Shenoy

  • Valuation-based systems: a framework for managing uncertainty in expert systems

    Prakash P. Shenoy

  • Binary Join Trees for Computing Marginals in the Shenoy-Shafer Architecture

    Prakash P. Shenoy

  • Conditional independence in valuation-based systems

    Prakash P. Shenoy

  • A new definition of entropy of belief functions in the Dempster–Shafer theory

    Radim Jiroušek;Prakash P. Shenoy

  • Inference in hybrid Bayesian networks using mixtures of polynomials

    Prakash P. Shenoy;James C. West

  • Local Computation in Hypertrees

    Glenn R. Shafer;Prakash P. Shenoy

  • A Comparison of Bayesian and Belief Function Reasoning

    Barry R. Cobb;Prakash P. Shenoy

  • Inference in hybrid Bayesian networks with mixtures of truncated exponentials

    Barry R. Cobb;Prakash P. Shenoy

  • On Spohn's rule for revision of beliefs

    Prakash P. Shenoy

  • Approximating probability density functions in hybrid Bayesian networks with mixtures of truncated exponentials

    Barry R. Cobb;Prakash P. Shenoy;Rafael Rumí

  • Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence

    Dan Geiger;Prakash Pundalik Shenoy

Frequent Co-Authors

Glenn Shafer
Glenn Shafer Rutgers, The State University of New Jersey
Concha Bielza
Concha Bielza Technical University of Madrid
Paul R. Cohen
Paul R. Cohen University of Pittsburgh
Dan Geiger
Dan Geiger Technion – Israel Institute of Technology
Finn Verner Jensen
Finn Verner Jensen Aalborg University
Riza Demirer
Riza Demirer Southern Illinois University Edwardsville
Eric Horvitz
Eric Horvitz Microsoft (United States)
Gautam Biswas
Gautam Biswas Vanderbilt University

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