World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
65
Citations
18148
World Ranking
2446
National Ranking
1225

Vasant Honavar 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 Vasant Honavar 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: 471 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Vasant Honavar 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 Vasant Honavar 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: 65 D-Index — 83rd percentile

83% 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

  • 2018 - ACM Distinguished Member
  • 2018 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2006 - ACM Senior Member

Overview

Vasant Honavar is affiliated with Pennsylvania State University in the United States. Their primary research domain lies within Computer Science, with a focus on several subfields including Artificial Intelligence, Molecular Biology, Computer Networks and Communications, Computational Theory and Mathematics, and Computer Vision and Pattern Recognition.

Their research topics encompass a diverse range of areas:

  • Topic Modeling
  • Bayesian Modeling and Causal Inference
  • Adversarial Robustness in Machine Learning
  • Protein Structure and Dynamics
  • Computational Drug Discovery Methods
  • Time Series Analysis and Forecasting
  • Recommender Systems and Techniques

Honavar has published extensively in various academic venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Sleep Health
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Clinical Oncology

Significant recent papers authored or co-authored include:

  • "Two-dimensional hybrid organic-inorganic perovskites as emergent ferroelectric materials" (2020), Journal of Applied Physics
  • "Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics" (2021), Network Neuroscience
  • "Algorithmic Bias in Recidivism Prediction: A Causal Perspective (Student Abstract)" (2020), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Detecting and Interpreting Changes in Scanning Behavior in Large Network Telescopes" (2022), IEEE Transactions on Information Forensics and Security
  • "Connected in health: Place-to-place commuting networks and COVID-19 spillovers" (2022), Health & Place

Frequent collaborators include:

  • Justin Petucci
  • Teng Xiao
  • Aria Khademi
  • Junjie Liang
  • Avnish Katoch

Over the course of their career, Vasant Honavar has received several recognitions including being named an ACM Distinguished Member and a Fellow of the American Association for the Advancement of Science (AAAS) in 2018. Additionally, they were designated an ACM Senior Member in 2006.

Best Publications

  • Feature subset selection using a genetic algorithm

    J. Yang;V. Honavar

  • Learn++: an incremental learning algorithm for supervised neural networks

    R. Polikar;L. Upda;S.S. Upda;V. Honavar

  • Mobile health technology evaluation: The mHealth evidence workshop

    Santosh Kumar;Wendy J. Nilsen;Amy Abernethy;Audie Atienza

  • Predicting linear B-cell epitopes using string kernels.

    Yasser El-Manzalawy;Drena Dobbs;Vasant Honavar

  • Predicting RNA-Protein Interactions Using Only Sequence Information

    Usha K Muppirala;Vasant G Honavar;Drena Dobbs

  • Constructive neural-network learning algorithms for pattern classification

    R. Parekh;J. Yang;V. Honavar

  • Grammar Inference Automata Induction and Language Acquisition

    Rajesh Parekh;Vasant Honavar

  • Predicting flexible length linear B-cell epitopes.

    Yasser EL-Manzalawy;Drena Dobbs;Vasant Honavar

  • Intelligent agents for intrusion detection

    G.G. Helmer;J.S.K. Wong;V. Honavar;L. Miller

  • Lightweight agents for intrusion detection

    Guy Helmer;Johnny S. K. Wong;Vasant G. Honavar;Les Miller

  • Prediction of RNA binding sites in proteins from amino acid sequence

    Michael Terribilini;Jae Hyung Lee;Changhui Yan;Robert L. Jernigan

  • Glycosylation site prediction using ensembles of Support Vector Machine classifiers

    Cornelia Caragea;Jivko Sinapov;Adrian Silvescu;Drena Dobbs

  • Recent advances in B-cell epitope prediction methods.

    Yasser EL-Manzalawy;Yasser EL-Manzalawy;Vasant Honavar

  • Learning classifiers for misuse and anomaly detection using a bag of system calls representation

    Dae-Ki Kang;D. Fuller;V. Honavar

  • Computational prediction of protein interfaces: A review of data driven methods

    Li C. Xue;Drena Dobbs;Alexandre M.J.J. Bonvin;Vasant Honavar

  • A two-stage classifier for identification of protein--protein interface residues

    Changhui Yan;Drena Dobbs;Vasant Honavar

  • A software fault tree approach to requirements analysis of an intrusion detection system

    Guy G. Helmer;Johnny S. Wong;Mark Slagell;Vasant G. Honavar

  • Predicting DNA-binding sites of proteins from amino acid sequence

    Changhui Yan;Michael Terribilini;Feihong Wu;Robert L. Jernigan

  • A framework for semantic web services discovery

    Jyotishman Pathak;Neeraj Koul;Doina Caragea;Vasant G. Honavar

  • Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach

    Yiwei Sun;Suhang Wang;Xianfeng Tang;Tsung-Yu Hsieh

  • Handbook of Natural Language Processing

    Rajesh Parekh;Vasant Honavar

Frequent Co-Authors

Jyotishman Pathak
Jyotishman Pathak Cornell University
Cornelia Caragea
Cornelia Caragea University of Illinois at Chicago
Robert L. Jernigan
Robert L. Jernigan Iowa State University
James D. McCalley
James D. McCalley Iowa State University
Robi Polikar
Robi Polikar Rowan University
Christopher K. Tuggle
Christopher K. Tuggle Iowa State University
James M. Reecy
James M. Reecy Iowa State University
Alexandre M. J. J. Bonvin
Alexandre M. J. J. Bonvin Utrecht University
Dianne Cook
Dianne Cook Monash University
Orfeu M. Buxton
Orfeu M. Buxton Pennsylvania State University

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