World's Best Scientists 2026 revealed!
Ali Jadbabaie

Ali Jadbabaie

D-Index & Metrics

Computer Science

D-Index
69
Citations
30195
World Ranking
1927
National Ranking
977

Ali Jadbabaie 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 Ali Jadbabaie 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: 356 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Ali Jadbabaie 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 Ali Jadbabaie 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: 69 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

Overview

Ali Jadbabaie is a researcher affiliated with MIT in the United States, specializing in computer science with a focus on several subfields. Their research work spans artificial intelligence, statistical and nonlinear physics, computer networks and communications, computational mechanics, and management science and operations research.

The scientist's primary research topics include:

  • Complex Network Analysis Techniques
  • Stochastic Gradient Optimization Techniques
  • Opinion Dynamics and Social Influence
  • Sparse and Compressive Sensing Techniques
  • Topological and Geometric Data Analysis
  • Game Theory and Applications
  • Distributed Control Multi-Agent Systems

Jadbabaie's recent publications demonstrate a focus on dynamics in networks and decision-making processes under uncertainty. Selected recent papers include:

  • "Robust Federated Learning: The Case of Affine Distribution Shifts" (2020), published in arXiv (Cornell University)
  • "Network Inference From Consensus Dynamics With Unknown Parameters" (2020), published in IEEE Transactions on Signal and Information Processing over Networks
  • "Bayesian Decision Making in Groups is Hard" (2021), published in arXiv (Cornell University)
  • "Non-Bayesian Social Learning With Uncertain Models" (2020), published in IEEE Transactions on Signal Processing
  • "Inference in Opinion Dynamics Under Social Pressure" (2022), published in IEEE Transactions on Automatic Control

The researcher frequently publishes in venues such as:

  • arXiv (Cornell University)
  • IEEE Transactions on Automatic Control
  • SSRN Electronic Journal
  • IEEE Transactions on Signal and Information Processing over Networks
  • 2021 60th IEEE Conference on Decision and Control (CDC)

Collaborations form an important part of Jadbabaie's research, with frequent coauthors including:

  • Amir Ajorlou
  • Devavrat Shah
  • Arnab Sarker
  • Anuran Makur
  • Haochuan Li

Best Publications

  • Coordination of groups of mobile autonomous agents using nearest neighbor rules

    A. Jadbabaie;Jie Lin;A.S. Morse

  • Flocking in Fixed and Switching Networks

    H.G. Tanner;A. Jadbabaie;G.J. Pappas

  • Stable flocking of mobile agents, part I: fixed topology

    H.G. Tanner;A. Jadbabaie;G.J. Pappas

  • Stable flocking of mobile agents part I: dynamic topology

    H.G. Tanner;A. Jadbabaie;G.J. Pappas

  • Safety verification of hybrid systems using barrier certificates

    Stephen Prajna;Ali Jadbabaie

  • A Framework for Worst-Case and Stochastic Safety Verification Using Barrier Certificates

    S. Prajna;A. Jadbabaie;G.J. Pappas

  • Non-Bayesian social learning

    Ali Jadbabaie;Pooya Molavi;Alvaro Sandroni;Alireza Tahbaz-Salehi

  • Simplicial closure and higher-order link prediction

    Austin R. Benson;Rediet Abebe;Michael T. Schaub;Michael T. Schaub;Ali Jadbabaie

  • A Necessary and Sufficient Condition for Consensus Over Random Networks

    A. Tahbaz-Salehi;A. Jadbabaie

  • Decentralized Control of Connectivity for Multi-Agent Systems

    M.C. De Gennaro;A. Jadbabaie

  • Random Walks on Simplicial Complexes and the Normalized Hodge 1-Laplacian

    Michael T. Schaub;Austin R. Benson;Paul Horn;Gabor Lippner

  • Unconstrained receding-horizon control of nonlinear systems

    A. Jadbabaie;J. Yu;J. Hauser

  • FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization.

    Amirhossein Reisizadeh;Aryan Mokhtari;Hamed Hassani;Ali Jadbabaie

  • Distributed Online Optimization in Dynamic Environments Using Mirror Descent

    Shahin Shahrampour;Ali Jadbabaie

  • Optimal Resource Allocation for Network Protection Against Spreading Processes

    Victor M. Preciado;Michael Zargham;Chinwendu Enyioha;Ali Jadbabaie

  • Consensus Over Ergodic Stationary Graph Processes

    A. Tahbaz-Salehi;A. Jadbabaie

  • Hybrid Control for Connectivity Preserving Flocking

    M.M. Zavlanos;H.G. Tanner;A. Jadbabaie;G.J. Pappas

  • A Distributed Newton Method for Network Utility Maximization–I: Algorithm

    Ermin Wei;Asuman Ozdaglar;Ali Jadbabaie

  • Distributed Geodesic Control Laws for Flocking of Nonholonomic Agents

    N. Moshtagh;A. Jadbabaie

  • Why Gradient Clipping Accelerates Training: A Theoretical Justification for Adaptivity

    Jingzhao Zhang;Tianxing He;Suvrit Sra;Ali Jadbabaie

  • On the stability of the Kuramoto model of coupled nonlinear oscillators

    A. Jadbabaie;N. Motee;M. Barahona

  • On Non-Bayesian Social Learning

    Pooya Molavi;Ali Jadbabaie

Frequent Co-Authors

George J. Pappas
George J. Pappas University of Pennsylvania
Alejandro Ribeiro
Alejandro Ribeiro University of Pennsylvania
Jay Hauser
Jay Hauser University of California, Los Angeles
Aryan Mokhtari
Aryan Mokhtari The University of Texas at Austin
Alex Olshevsky
Alex Olshevsky Boston University
Michael M. Zavlanos
Michael M. Zavlanos Duke University
Kostas Daniilidis
Kostas Daniilidis University of Pennsylvania

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

Studying Computer Science in the USA opens doors to many related online degrees and rewarding career pathways. For those interested in sustainability and eco-friendly technology, pursuing an environmental engineer degree online can be a flexible and cost-effective option.

Engineering programs are a popular complement to computer science. However, understanding the mechanical engineering cost of education is important for students when making financial decisions about their future.

Those with a passion for scientific theory and research might consider online physics degrees, which provide broad analytical skills and problem-solving abilities relevant to tech and data fields.

Data science also offers a promising pathway, blending computer science, statistics, and business. Explore top-ranked data science programs to launch a dynamic and in-demand career in this rapidly growing area.

Every pathway comes with unique opportunities and challenges. Be sure to compare costs, curriculum, and future prospects before choosing the best fit for your goals.

Best Scientists Citing Ali Jadbabaie

Trending Scientists

Recently Published Articles