World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
67
Citations
24745
World Ranking
2152
National Ranking
1079

Alexandros G. Dimakis 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 Alexandros G. Dimakis 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: 221 publications — 54th percentile

54% of scientists in this discipline score the same or lower.

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

Alexandros G. Dimakis 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 Alexandros G. Dimakis 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: 67 D-Index — 85th percentile

85% of scientists in this discipline score the same or lower.

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

Overview

Alexandros G. Dimakis is affiliated with The University of Texas at Austin in the United States. Their research spans multiple fields, primarily focused on computer science and engineering, with a notable emphasis on artificial intelligence and computer vision.

The scientist has published extensively, contributing to areas that include sparse and compressive sensing techniques, generative adversarial networks and image synthesis, model reduction and neural networks, image and signal denoising methods, domain adaptation and few-shot learning, adversarial robustness in machine learning, and natural language processing techniques.

Key recent papers by Alexandros G. Dimakis include:

  • Deep Learning Techniques for Inverse Problems in Imaging, 2020, IEEE Journal on Selected Areas in Information Theory
  • Model-Based Deep Learning, 2023, Proceedings of the IEEE
  • Model-Based Deep Learning, 2020, arXiv (Cornell University)
  • Stability Oracle: a structure-based graph-transformer framework for identifying stabilizing mutations, 2024, Nature Communications
  • Robust Compressed Sensing MRI with Deep Generative Priors, 2021, arXiv (Cornell University)

Frequent co-authors include:

  • Giannis Daras
  • Ajil Jalal
  • Jay Whang
  • Sriram Ravula
  • Jonathan I. Tamir

Publication venues where Alexandros G. Dimakis has contributed multiple times include:

  • arXiv (Cornell University) with 40 publications
  • IEEE Journal on Selected Areas in Information Theory with 2 publications
  • IEEE Journal on Selected Areas in Communications with 2 publications
  • Proceedings of the IEEE with 1 publication
  • Nature Communications with 1 publication

Alexandros G. Dimakis has authored at least one book published by Cambridge University Press titled Mathematical Aspects of Deep Learning, published in 2022.

Best Publications

  • Network Coding for Distributed Storage Systems

    A G Dimakis;P B Godfrey;Yunnan Wu;M J Wainwright

  • Network Coding for Distributed Storage Systems

    A.G. Dimakis;P.B. Godfrey;M.J. Wainwright;K. Ramchandran

  • FemtoCaching: Wireless Content Delivery Through Distributed Caching Helpers

    Karthikeyan Shanmugam;Negin Golrezaei;Alexandros G. Dimakis;Andreas F. Molisch

  • Gossip Algorithms for Distributed Signal Processing

    Alexandros G Dimakis;Soummya Kar;José M F Moura;Michael G Rabbat

  • XORing elephants: novel erasure codes for big data

    Maheswaran Sathiamoorthy;Megasthenis Asteris;Dimitris Papailiopoulos;Alexandros G. Dimakis

  • FemtoCaching: Wireless video content delivery through distributed caching helpers

    Negin Golrezaei;Karthikeyan Shanmugam;Alexandros G. Dimakis;Andreas F. Molisch

  • A Survey on Network Codes for Distributed Storage

    A G Dimakis;K Ramchandran;Yunnan Wu;Changho Suh

  • Femtocaching and device-to-device collaboration: A new architecture for wireless video distribution

    Negin Golrezaei;Andreas F. Molisch;Alexandros G. Dimakis;Giuseppe Caire

  • Locally Repairable Codes

    Dimitris S. Papailiopoulos;Alexandros G. Dimakis

  • Base-Station Assisted Device-to-Device Communications for High-Throughput Wireless Video Networks

    Negin Golrezaei;Parisa Mansourifard;Andreas F. Molisch;Alexandros G. Dimakis

  • Deep Learning Techniques for Inverse Problems in Imaging

    Gregory Ongie;Ajil Jalal;Christopher A. Metzler;Richard G. Baraniuk

  • Compressed sensing using generative models

    Ashish Bora;Ajil Jalal;Eric Price;Alexandros G. Dimakis

  • Gradient Coding: Avoiding Stragglers in Distributed Learning

    Rashish Tandon;Qi Lei;Alexandros G. Dimakis;Nikos Karampatziakis

  • Decentralized erasure codes for distributed networked storage

    Alexandros G. Dimakis;Vinod Prabhakaran;Kannan Ramchandran

  • Optimal Locally Repairable Codes and Connections to Matroid Theory

    Itzhak Tamo;Dimitris S. Papailiopoulos;Alexandros G. Dimakis

  • Model-Based Deep Learning.

    Nir Shlezinger;Jay Whang;Yonina C. Eldar;Alexandros G. Dimakis

  • Repair Optimal Erasure Codes Through Hadamard Designs

    DimitrisS. Papailiopoulos;Alexandros G. Dimakis;Viveck R. Cadambe

  • Geographic gossip: efficient aggregation for sensor networks

    Alexandros G. Dimakis;Anand D. Sarwate;Martin J. Wainwright

  • Ubiquitous access to distributed data in large-scale sensor networks through decentralized erasure codes

    Alexandros G. Dimakis;Vinod Prabhakaran;Kannan Ramchandran

  • Locality and Availability in Distributed Storage

    Ankit Singh Rawat;Dimitris S. Papailiopoulos;Alexandros G. Dimakis;Sriram Vishwanath

  • FemtoCaching: Wireless Video Content Delivery through Distributed Caching Helpers

    Karthikeyan Shanmugam;Negin Golrezaei;Alexandros G. Dimakis;Andreas F. Molisch

  • Network Coding for Distributed Storage Systems

    Alexandros G. Dimakis;P. Brighten Godfrey;Martin J. Wainwright;Kannan Ramchandran

  • A Survey on Network Codes for Distributed Storage In distributed storage systems where reliability is maintained using erasure coding, network codes can be designed to meet specific requirements.

    Alexandros G. Dimakis;Kannan Ramchandran;Yunnan Wu;Changho Suh

Frequent Co-Authors

Sriram Vishwanath
Sriram Vishwanath The University of Texas at Austin
Giuseppe Caire
Giuseppe Caire Technical University of Berlin
Tracey Ho
Tracey Ho California Institute of Technology
Kannan Ramchandran
Kannan Ramchandran University of California, Berkeley
Babak Hassibi
Babak Hassibi California Institute of Technology
Andreas F. Molisch
Andreas F. Molisch University of Southern California
Constantine Caramanis
Constantine Caramanis The University of Texas at Austin
Sanjay Shakkottai
Sanjay Shakkottai The University of Texas at Austin
Sujay Sanghavi
Sujay Sanghavi The University of Texas at Austin

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

Exploring online degrees provides flexibility for students who want to balance work, study, and personal commitments. Many universities now offer credible programs entirely online, making it easier for international and non-traditional students to pursue studies in Computer Science and related fields.

For those interested in advanced technologies, online AI degree programs are becoming increasingly popular. These programs cover topics like machine learning and data science, opening doors to some of the fastest-growing tech careers.

Choosing the right major is also crucial. Reviewing lists of the best majors in college can help you find specialties that align with both your interests and industry demand, leading to strong job prospects after graduation.

Additionally, if you’re considering postgraduate education, some students look for the easiest online masters for career advancement while managing other responsibilities. This pathway allows efficient upskilling without compromising on quality.

Best Scientists Citing Alexandros G. Dimakis

Trending Scientists

Recently Published Articles