World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
10252
World Ranking
6771
National Ranking
2982

Olgica Milenkovic 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 Olgica Milenkovic 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: 288 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Olgica Milenkovic 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 Olgica Milenkovic 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: 46 D-Index — 53rd percentile

53% 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 - IEEE Fellow For contributions to genomic data compression

Overview

Olgica Milenkovic is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans a combination of computer science and biochemistry, genetics, and molecular biology, with significant contributions in several intersecting subfields.

Their primary areas of study include molecular biology, artificial intelligence, computer networks and communications, computational theory and mathematics, and management science and operations research. The main topics that Milenkovic focuses on are DNA and biological computing, advanced biosensing and bioanalysis techniques, advanced data storage technologies, advanced graph neural networks, optimization and search problems, algorithms and data compression, and topological and geometric data analysis.

Milenkovic's recent papers include:

  • DNA punch cards for storing data on native DNA sequences via enzymatic nicking (2020), published in Nature Communications
  • Adaptive Universal Generalized PageRank Graph Neural Network (2020), published in arXiv (Cornell University)
  • Rewritable two-dimensional DNA-based data storage with machine learning reconstruction (2022), published in Nature Communications
  • Mutually uncorrelated primers for DNA-based data storage (2020), published by DR-NTU (Nanyang Technological University)
  • Expanding the Molecular Alphabet of DNA-Based Data Storage Systems with Neural Network Nanopore Readout Processing (2022), published in Nano Letters

Frequent co-authors collaborating with Milenkovic include:

  • Chao Pan
  • Eli Chien
  • Ryan Gabrys
  • Jianhao Peng
  • Jin Sima

Milenkovic has published extensively across several venues, with notable frequency in:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Transactions on Information Theory
  • Nature Communications
  • IEEE Transactions on Communications

Their work bridges computational and experimental approaches, contributing to developments in biological data storage methods as well as graph neural network algorithms.

Olgica Milenkovic was awarded the IEEE Fellow distinction in 2018 for contributions to genomic data compression.

Best Publications

  • Subspace Pursuit for Compressive Sensing Signal Reconstruction

    Wei Dai;O. Milenkovic

  • A Rewritable, Random-Access DNA-Based Storage System.

    S. M. Hossein Tabatabaei Yazdi;Yongbo Yuan;Jian Ma;Huimin Zhao

  • Combinatorial constructions of low-density parity check codes for iterative decoding

    B. Vasic;O. Milenkovic

  • Portable and Error-Free DNA-Based Data Storage

    S. M. Hossein Tabatabaei Yazdi;Ryan Gabrys;Olgica Milenkovic

  • Subspace Pursuit for Compressive Sensing: Closing the Gap Between Performance and Complexity

    Wei Dai;Olgica Milenkovic

  • DNA-Based Storage: Trends and Methods

    S. M. Hossein Tabatabaei Yazdi;Han Mao Kiah;Eva Garcia-Ruiz;Jian Ma

  • Algorithmic and combinatorial analysis of trapping sets in structured LDPC codes

    S. Landner;O. Milenkovic

  • On the design of codes for DNA computing

    Olgica Milenkovic;Navin Kashyap

  • Asymptotic Spectra of Trapping Sets in Regular and Irregular LDPC Code Ensembles

    O. Milenkovic;E. Soljanin;P. Whiting

  • Codes for DNA Sequence Profiles

    Han Mao Kiah;Gregory J. Puleo;Olgica Milenkovic

  • Shortened Array Codes of Large Girth

    O. Milenkovic;N. Kashyap;D. Leyba

  • Adaptive Universal Generalized PageRank Graph Neural Network

    Eli Chien;Jianhao Peng;Pan Li;Olgica Milenkovic

  • DNA punch cards for storing data on native DNA sequences via enzymatic nicking

    S. Kasra Tabatabaei;Boya Wang;Nagendra Bala Murali Athreya;Behnam Enghiad

  • Generalized low-density parity-check codes for optical communication systems

    I.B. Djordjevic;O. Milenkovic;B. Vasic

  • Inhomogeneous hypergraph clustering with applications

    Pan Li;Olgica Milenkovic

  • Hybrid ARQ: Theory, State of the Art and Future Directions

    C. Lott;O. Milenkovic;E. Soljanin

  • Compressive Sensing DNA Microarrays

    Wei Dai;Mona A Sheikh;Olgica Milenkovic;Richard G Baraniuk

  • Block-circulant low-density parity-check codes for optical communication systems

    O. Milenkovic;I.B. Djordjevic;B. Vasic

  • Distortion-rate functions for quantized compressive sensing

    Wei Dai;Hoa Vinh Pham;Olgica Milenkovic

  • Error-Correction in Flash Memories via Codes in the Ulam Metric

    Farzad Farnoud;Vitaly Skachek;Olgica Milenkovic

  • LDPC Codes Based on Latin Squares: Cycle Structure, Stopping Set, and Trapping Set Analysis

    S. Laendner;O. Milenkovic

  • On the Hardness of Approximating Stopping and Trapping Sets

    A. McGregor;O. Milenkovic

Frequent Co-Authors

Bane Vasic
Bane Vasic University of Arizona
Johannes B. Huber
Johannes B. Huber University of Erlangen-Nuremberg
Huimin Zhao
Huimin Zhao University of Illinois at Urbana-Champaign
Charles J. Colbourn
Charles J. Colbourn Arizona State University
Venugopal V. Veeravalli
Venugopal V. Veeravalli University of Illinois at Urbana-Champaign
Emina Soljanin
Emina Soljanin Rutgers, The State University of New Jersey
Alon Orlitsky
Alon Orlitsky University of California, San Diego
Richard G. Baraniuk
Richard G. Baraniuk Rice University
Eitan Yaakobi
Eitan Yaakobi Technion – Israel Institute of Technology
Angelia Nedic
Angelia Nedic Arizona State University

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