World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
6773
World Ranking
12455
National Ranking
5053

Haris Vikalo 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 Haris Vikalo 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: 248 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Haris Vikalo 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 Haris Vikalo 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: 33 D-Index — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Overview

Haris Vikalo is affiliated with The University of Texas at Austin in the United States. Their research primarily spans the fields of computer science, engineering, and biochemistry, genetics, and molecular biology, with a notable concentration in artificial intelligence, computer networks and communications, and molecular biology.

Their academic output includes numerous papers focusing on privacy-preserving technologies, stochastic gradient optimization techniques, distributed control in multi-agent systems, genomics and phylogenetic studies, traffic prediction and management, radar systems and signal processing, and recommender systems.

Frequent co-authors include Abolfazl Hashemi, Ziqi Ke, Mónica Ribero, Yiyue Chen, and Shorya Consul. Vikalo's work is regularly published in venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, IEEE Transactions on Automatic Control, bioRxiv (Cold Spring Harbor Laboratory), and IEEE Journal of Selected Topics in Signal Processing.

Selected recent papers include:

  • Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder, 2021, IEEE Transactions on Wireless Communications
  • Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints, 2022, IEEE Journal of Selected Topics in Signal Processing
  • Federating recommendations using differentially private prototypes, 2022, Pattern Recognition
  • On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Federated Learning, 2021, IEEE Transactions on Parallel and Distributed Systems

Best Publications

  • On the sphere-decoding algorithm I. Expected complexity

    B. Hassibi;H. Vikalo

  • Iterative decoding for MIMO channels via modified sphere decoding

    H. Vikalo;B. Hassibi;T. Kailath

  • Greedy sensor selection: Leveraging submodularity

    Manohar Shamaiah;Siddhartha Banerjee;Haris Vikalo

  • On the sphere-decoding algorithm II. Generalizations, second-order statistics, and applications to communications

    H. Vikalo;B. Hassibi

  • Beam tracking for mobile millimeter wave communication systems

    Vutha Va;Haris Vikalo;Robert W. Heath

  • Rate maximization in multi-antenna broadcast channels with linear preprocessing

    M. Stojnic;H. Vikalo;B. Hassibi

  • On the expected complexity of sphere decoding

    B. Hassibi;H. Vikalo

  • Recovering Sparse Signals Using Sparse Measurement Matrices in Compressed DNA Microarrays

    F. Parvaresh;H. Vikalo;S. Misra;B. Hassibi

  • Real-Time Radio Technology and Modulation Classification via an LSTM Auto-Encoder

    Ziqi Ke;Haris Vikalo

  • On the expected complexity of integer least-squares problems

    Babak Hassibi;Haris Vikalo

  • Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better

    Unknown

  • Energy efficient design of portable wireless systems

    T. Simunic;H. Vikalo;P. Glynn;G. De Micheli

  • Maximum-likelihood sequence detection of multiple antenna systems over dispersive channels via sphere decoding

    Haris Vikalo;Babak Hassibi

  • SDhaP: haplotype assembly for diploids and polyploids via semi-definite programming

    Shreepriya Das;Haris Vikalo

  • MIMO receive algorithms

    Thomas Kailath;Haris Vikalo;Babak Hassibi

  • Communication-Efficient Federated Learning via Optimal Client Sampling

    Monica Ribero;Haris Vikalo

  • Sphere-constrained ML detection for frequency-selective channels

    H. Vikalo;B. Hassibi;U. Mitra

  • On the capacity of frequency- selective channels in training-based transmission schemes

    H. Vikalo;B. Hassibi;B. Hochwald;T. Kailath

  • Multiplexed identification, quantification and genotyping of infectious agents using a semiconductor biochip

    Arjang Hassibi;Arun Manickam;Rituraj Singh;Sara Bolouki

  • Optimal training for frequency-selective fading channels

    H. Vikalo;B. Hassibi;B. Hochwald;T. Kailath

  • Efficient joint maximum-likelihood channel estimation and signal detection

    H. Vikalo;B. Hassibi;P. Stoica

Frequent Co-Authors

Babak Hassibi
Babak Hassibi California Institute of Technology
Ufuk Topcu
Ufuk Topcu The University of Texas at Austin
Sriram Vishwanath
Sriram Vishwanath The University of Texas at Austin
Thomas Kailath
Thomas Kailath Stanford University
Gustavo de Veciana
Gustavo de Veciana The University of Texas at Austin
José Luis Riechmann
José Luis Riechmann Institució Catalana de Recerca i Estudis Avançats
François Baccelli
François Baccelli French Institute for Research in Computer Science and Automation - INRIA
Urbashi Mitra
Urbashi Mitra University of Southern California
Ahmed H. Tewfik
Ahmed H. Tewfik The University of Texas at Austin
Sujay Sanghavi
Sujay Sanghavi The University of Texas at Austin

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