World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
32
Citations
5149
World Ranking
9538
National Ranking
2696

Usman A. Khan publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Usman A. Khan sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 177 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Usman A. Khan D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Usman A. Khan sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 32 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Usman A. Khan is affiliated with Tufts University in the United States. Their research primarily spans the field of Computer Science, with a notable focus on subfields such as Computer Networks and Communications, Artificial Intelligence, and Computational Mechanics. They have also contributed to Electrical and Electronic Engineering as well as Statistical and Nonlinear Physics.

The scientist's work encompasses a range of specialized topics including Distributed Control Multi-Agent Systems, Stochastic Gradient Optimization Techniques, Sparse and Compressive Sensing Techniques, Neural Networks Stability and Synchronization, Distributed Sensor Networks and Detection Algorithms, Energy Efficient Wireless Sensor Networks, and Health Systems, Economic Evaluations, Quality of Life.

Some recent publications by Usman A. Khan include:

  • Decentralized Optimization Over Time-Varying Directed Graphs With Row and Column-Stochastic Matrices, 2020, IEEE Transactions on Automatic Control
  • Decentralized Stochastic Optimization and Machine Learning: A Unified Variance-Reduction Framework for Robust Performance and Fast Convergence, 2020, IEEE Signal Processing Magazine
  • A General Framework for Decentralized Optimization With First-Order Methods, 2020, Proceedings of the IEEE
  • Variance-Reduced Decentralized Stochastic Optimization With Accelerated Convergence, 2020, IEEE Transactions on Signal Processing
  • An Improved Convergence Analysis for Decentralized Online Stochastic Non-Convex Optimization, 2021, IEEE Transactions on Signal Processing

Frequent collaboration is evident with several coauthors, including:

  • Mohammadreza Doostmohammadian
  • Themistoklis Charalambous
  • Ran Xin
  • Soummya Kar
  • Alireza Aghasi

Usman A. Khan has published extensively in venues such as arXiv (Cornell University), IEEE Control Systems Letters, SSRN Electronic Journal, Cureus, and IEEE Transactions on Automatic Control. The number of publications in these venues ranges from 2 to 26, reflecting a consistent presence in both preprint archives and peer-reviewed journals.

Best Publications

  • Distributing the Kalman Filter for Large-Scale Systems

    U.A. Khan;J.M.F. Moura

  • Distributed Sensor Localization in Random Environments Using Minimal Number of Anchor Nodes

    U.A. Khan;S. Kar;J.M.F. Moura

  • Modeling of Future Cyber–Physical Energy Systems for Distributed Sensing and Control

    Marija D Ilić;Le Xie;Usman A Khan;José M F Moura

  • Effects of fluoxetine on functional outcomes after acute stroke (FOCUS): a pragmatic, double-blind, randomised, controlled trial

    Martin Dennis;Gillian Mead;John Forbes;Catriona Graham

  • Lack of parvalbumin in mice leads to behavioral deficits relevant to all human autism core symptoms and related neural morphofunctional abnormalities.

    M. Wöhr;D. Orduz;Patrick Gregory;H Moreno

  • A Linear Algorithm for Optimization Over Directed Graphs With Geometric Convergence

    Ran Xin;Usman A. Khan

  • DEXTRA: A Fast Algorithm for Optimization Over Directed Graphs

    Chenguang Xi;Usman A. Khan

  • Linear Convergence in Optimization Over Directed Graphs With Row-Stochastic Matrices

    Chenguang Xi;Van Sy Mai;Ran Xin;Eyad H. Abed

  • ADD-OPT: Accelerated Distributed Directed Optimization

    Chenguang Xi;Ran Xin;Usman A. Khan

  • DILAND: An Algorithm for Distributed Sensor Localization With Noisy Distance Measurements

    U.A. Khan;S. Kar;J.M.F. Moura

  • Distributed Heavy-Ball: A Generalization and Acceleration of First-Order Methods With Gradient Tracking

    Ran Xin;Usman A. Khan

  • Distributed Subgradient Projection Algorithm Over Directed Graphs

    Chenguang Xi;Usman A. Khan

  • Intravenous alteplase for stroke with unknown time of onset guided by advanced imaging: systematic review and meta-analysis of individual patient data

    Götz Thomalla;Florent Boutitie;Henry Ma;Masatoshi Koga

  • Modeling future cyber-physical energy systems

    M.D. Ilic;Le Xie;U.A. Khan;J.M.F. Moura

  • Decentralized Stochastic Optimization and Machine Learning: A Unified Variance-Reduction Framework for Robust Performance and Fast Convergence

    Ran Xin;Soummya Kar;Usman A. Khan

  • Decentralized Optimization Over Time-Varying Directed Graphs With Row and Column-Stochastic Matrices

    Fakhteh Saadatniaki;Ran Xin;Usman A. Khan

  • Variance-Reduced Decentralized Stochastic Optimization With Accelerated Convergence

    Ran Xin;Usman A. Khan;Soummya Kar

  • Distributed stochastic optimization with gradient tracking over strongly-connected networks

    Ran Xin;Anit Kumar Sahu;Usman A. Khan;Soummya Kar

  • Distributed Localization: A Linear Theory

    Sam Safavi;Usman A. Khan;Soummya Kar;Jose M. F. Moura

  • On connectivity, observability, and stability in distributed estimation

    Usman A. Khan;Soummya Kar;Ali Jadbabaie;Jose M. F. Moura

  • A General Framework for Decentralized Optimization With First-Order Methods

    Ran Xin;Shi Pu;Angelia Nedic;Usman A. Khan

  • An Improved Convergence Analysis for Decentralized Online Stochastic Non-Convex Optimization

    Ran Xin;Usman A. Khan;Soummya Kar

  • On the distributed optimization over directed networks

    Chenguang Xi;Qiong Wu;Usman A. Khan

  • On the Genericity Properties in Distributed Estimation: Topology Design and Sensor Placement

    Mohammadreza Doostmohammadian;Usman A. Khan

  • Revisiting Finite-Time Distributed Algorithms via Successive Nulling of Eigenvalues

    Sam Safavi;Usman A. Khan

Frequent Co-Authors

Soummya Kar
Soummya Kar Carnegie Mellon University
Jose M. F. Moura
Jose M. F. Moura Carnegie Mellon University
Hugh S. Markus
Hugh S. Markus University of Cambridge
Scott A. Small
Scott A. Small Columbia University
Martha E. Shenton
Martha E. Shenton Harvard University
Margaret A. Niznikiewicz
Margaret A. Niznikiewicz Harvard University
Gary A. Ford
Gary A. Ford University of Oxford
Bernhard Lehner
Bernhard Lehner McGill University
Robert W. McCarley
Robert W. McCarley Harvard Medical School

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