World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
81
Citations
25298
World Ranking
1030
National Ranking
549

Viktor K. Prasanna 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 Viktor K. Prasanna 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: 980 publications — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Viktor K. Prasanna 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 Viktor K. Prasanna 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: 81 D-Index — 93rd percentile

93% 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

  • 2015 - W. Wallace McDowell Award, IEEE Computer Society For fundamental algorithmic and application specific architectural contributions to reconfigurable computing.
  • 2009 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2007 - ACM Fellow For contributions to parallel, distributed and reconfigurable computing.

Overview

Viktor K. Prasanna is affiliated with the University of Southern California in the United States. Their research primarily falls under the field of Computer Science, with a strong focus on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Computer Networks and Communications, and Hardware and Architecture.

Their main research topics span a variety of advanced areas, including:

  • Advanced Graph Neural Networks
  • Graph Theory and Algorithms
  • Parallel Computing and Optimization Techniques
  • Advanced Memory and Neural Computing
  • Reinforcement Learning in Robotics
  • Advanced Neural Network Applications
  • Advanced SAR Imaging Techniques

Viktor K. Prasanna has published extensively, with notable recent papers including:

  • NSF/IEEE-TCPP Curriculum Initiative on Parallel and Distributed Computing Core Topics for Undergraduates, 2024, HAL (Le Centre pour la Communication Scientifique Directe)
  • GPOP, 2020, ACM Transactions on Parallel Computing
  • A Comprehensive Survey of Deep Learning: Advancements, Applications, and Challenges, 2023, International Journal on Recent and Innovation Trends in Computing and Communication
  • GraphAGILE: An FPGA-Based Overlay Accelerator for Low-Latency GNN Inference, 2023, IEEE Transactions on Parallel and Distributed Systems
  • Safe Building HVAC Control via Batch Reinforcement Learning, 2022, IEEE Transactions on Sustainable Computing

The venues in which Viktor K. Prasanna frequently publishes include:

  • arXiv (Cornell University)
  • IEEE Transactions on Parallel and Distributed Systems
  • ACM Transactions on Parallel Computing
  • IEEE Transactions on Sustainable Computing
  • ACM Transactions on Reconfigurable Technology and Systems

Collaborative work is a significant component of their research output. Frequent co-authors include:

  • Rajgopal Kannan
  • Bingyi Zhang
  • Ajitesh Srivastava
  • Carl Busart
  • Sanmukh R. Kuppannagari

Throughout their career, Viktor K. Prasanna has received several recognitions such as:

  • W. Wallace McDowell Award from the IEEE Computer Society in 2015, for contributions to reconfigurable computing
  • Fellow of the American Association for the Advancement of Science (AAAS) in 2009
  • ACM Fellow in 2007, recognized for contributions to parallel, distributed, and reconfigurable computing

Best Publications

  • Fast Regular Expression Matching Using FPGAs

    R. Sidhu;V.K. Prasanna

  • Energy-latency tradeoffs for data gathering in wireless sensor networks

    Yang Yu;B. Krishnamachari;V.K. Prasanna

  • Heterogeneous computing: challenges and opportunities

    A.A. Khokhar;V.K. Prasanna;M.E. Shaaban;C.-L. Wang

  • Parallel computations on reconfigurable meshes

    R. Miller;V.K. Prasanna-Kumar;D.I. Reisis;Q.F. Stout

  • Cloud-Based Software Platform for Big Data Analytics in Smart Grids

    Yogesh Simmhan;Saima Aman;Alok Kumbhare;Rongyang Liu

  • Reconfigurable computing systems

    K. Bondalapati;V.K. Prasanna

  • Issues in designing middleware for wireless sensor networks

    Yang Yu;Bhaskar Krishnamachari;V.K. Prasanna

  • Sparse Matrix-Vector multiplication on FPGAs

    Ling Zhuo;Viktor K. Prasanna

  • GraphSAINT: Graph Sampling Based Inductive Learning Method

    Hanqing Zeng;Hongkuan Zhou;Ajitesh Srivastava;Rajgopal Kannan

  • Seeking solutions in configurable computing

    W.H. Mangione-Smith;B. Hutchings;D. Andrews;A. DeHon

  • Analysis of high-performance floating-point arithmetic on FPGAs

    Gokul Govindu;L. Zhuo;S. Choi;V. Prasanna

  • Energy management systems: state of the art and emerging trends

    S. Aman;Y. Simmhan;V. K. Prasanna

  • Energy-balanced task allocation for collaborative processing in wireless sensor networks

    Yang Yu;Viktor K. Prasanna

  • Time and area efficient pattern matching on FPGAs

    Zachary K. Baker;Viktor K. Prasanna

  • Efficient collective communication in distributed heterogeneous systems

    P.B. Bhat;C.S. Raghavendra;V.K. Prasanna

  • Efficient collective communication in distributed heterogeneous systems

    Prashanth B. Bhat;C. S. Raghavendra;Viktor K. Prasanna

  • Parallel architectures and algorithms for image component labeling

    H.M. Alnuweiti;V.K. Prasanna

  • The Abstract Task Graph: a methodology for architecture-independent programming of networked sensor systems

    Amol Bakshi;Viktor K. Prasanna;Jim Reich;Daniel Larner

  • An optimal sorting algorithm on reconfigurable mesh

    Ju-wook Jang;Viktor K. Prasanna

  • MILAN: A Model Based Integrated Simulation Framework for Design of Embedded Systems

    A. Bakshi;V. K. Prasanna;A. Ledeczi

Frequent Co-Authors

Yogesh Simmhan
Yogesh Simmhan Indian Institute of Science
Cauligi S. Raghavendra
Cauligi S. Raghavendra University of Southern California
Howard Jay Siegel
Howard Jay Siegel Colorado State University
David A. Bader
David A. Bader New Jersey Institute of Technology
Manish Parashar
Manish Parashar University of Utah
Ashfaq Khokhar
Ashfaq Khokhar Iowa State University
Bhaskar Krishnamachari
Bhaskar Krishnamachari University of Southern California
Frank Mueller
Frank Mueller North Carolina State University
S. Sitharama Iyengar
S. Sitharama Iyengar Florida International University
Luca Mottola
Luca Mottola Polytechnic University of Milan

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing Computer Science in the USA can open doors to a wide array of online degree options that cater to different career goals and budgets. Many students choose to begin their journey with associates degrees online, which offer a faster and more affordable introduction to technology and computing fundamentals. These programs are ideal for those seeking foundational skills or a quicker entry into the workforce.

For individuals interested in combining technical skills with leadership, earning a best online business management degree can be a smart choice. This path equips graduates for managerial roles in the tech sector or for launching their own startups.

Students looking for flexible and cost-effective education options should consider the cheapest online bachelor's degree programs, which allow for in-depth technical study without the high expenses of traditional on-campus courses.

Those interested in applying computer science to real-world challenges may want to explore an online engineer degree. This pathway can lead to careers in software development, robotics, or systems engineering, expanding your professional possibilities in today’s digital economy.

Best Scientists Citing Viktor K. Prasanna

Trending Scientists

Recently Published Articles