World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
37
Citations
9585
World Ranking
8249
National Ranking
2275

Fernando Paganini 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 Fernando Paganini 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: 157 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Fernando Paganini 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 Fernando Paganini 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: 37 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2014 - IEEE Fellow For contributions to robust control and communication networks

Overview

Fernando Paganini is affiliated with the University of California, Los Angeles in the United States. Their research primarily falls within the field of Engineering, with a focus on Electrical and Electronic Engineering, Automotive Engineering, Computer Networks and Communications, Control and Systems Engineering, and Infectious Diseases.

The main topics of their work cover:

  • Electric Vehicles and Infrastructure
  • Transportation and Mobility Innovations
  • Advanced Battery Technologies Research
  • Smart Grid Energy Management
  • Electric and Hybrid Vehicle Technologies
  • Advanced Queuing Theory Analysis
  • Cloud Computing and Resource Management

Recent publications by Fernando Paganini include:

  • "An effective COVID-19 response in South America: the Uruguayan Conundrum," 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "Accurate Reduced-Order Models for Heterogeneous Coherent Generators," 2020, IEEE Control Systems Letters
  • "Proximal Regularization for the Saddle Point Gradient Dynamics," 2020, IEEE Transactions on Automatic Control
  • "Optimization of spatial infrastructure for EV charging," 2022, 2022 IEEE 61st Conference on Decision and Control (CDC)
  • "Respect the Unstable: Delays and Saturation in Contact Tracing for Disease Control," 2022, SIAM Journal on Control and Optimization

Frequent co-authors collaborating with Paganini include:

  • Andrés Ferragut
  • Diego Goldsztajn
  • Enrique Mallada
  • Lucas Narbondo
  • Matías Carrasco

They have published multiple papers in venues such as:

  • ACM SIGMETRICS Performance Evaluation Review
  • arXiv (Cornell University)
  • Performance Evaluation
  • bioRxiv (Cold Spring Harbor Laboratory)
  • IEEE Control Systems Letters

In 2014, Fernando Paganini was named an IEEE Fellow for contributions to robust control and communication networks.

Best Publications

  • A Course in Robust Control Theory: A Convex Approach

    Geir E. Dullerud;Fernando G. Paganini

  • Internet congestion control

    S.H. Low;F. Paganini;J.C. Doyle

  • Distributed control of spatially invariant systems

    B. Bamieh;F. Paganini;M.A. Dahleh

  • A Course in Robust Control Theory

    Geir E. Dullerud;Fernando Paganini

  • Dynamics of TCP/RED and a scalable control

    S.H. Low;F. Paganini;Jiantao Wang;S. Adlakha

  • Scalable laws for stable network congestion control

    F. Paganini;J. Doyle;S. Low

  • Stability of primal-dual gradient dynamics and applications to network optimization

    Diego Feijer;Fernando Paganini

  • Congestion control for high performance, stability, and fairness in general networks

    Fernando Paganini;Zhikui Wang;John C. Doyle;Steven H. Low

  • FAST TCP: from theory to experiments

    Cheng Jin;D. Wei;S.H. Low;J. Bunn

  • Linear stability of TCP/RED and a scalable control

    Steven H. Low;Fernando Paganini;Jiantao Wang;John C. Doyle

  • A global stability result in network flow control

    Fernando Paganini

  • A new TCP/AQM for stable operation in fast networks

    F. Paganini;Z. Wang;S.H. Low;J.C. Doyle

  • Global stability with time-delay in network congestion control

    Zhikui Wang;F. Paganini

  • Game theoretic approach to power control in cellular CDMA

    Sarma Gunturi;F. Paganini

  • A set-based approach for white noise modeling

    F. Paganini

  • Convex synthesis of controllers for consensus

    G.A. de Castro;F. Paganini

  • Convex synthesis of localized controllers for spatially invariant systems

    Gustavo Ayres De Castro;Fernando Paganini

  • Structured coprime factor model reduction based on LMIs

    Li Li;Fernando Paganini

  • Sets and constraints in the analysis of uncertain systems

    Fernando Paganini

  • Model reduction for analysis of cascading failures in power systems

    P.A. Parrilo;S. Lall;F. Paganini;G.C. Verghese

Frequent Co-Authors

John C. Doyle
John C. Doyle California Institute of Technology
Geir E. Dullerud
Geir E. Dullerud University of Illinois at Urbana-Champaign
Steven H. Low
Steven H. Low California Institute of Technology
Zhikui Wang
Zhikui Wang Hewlett-Packard (United States)
Bassam Bamieh
Bassam Bamieh University of California, Santa Barbara
Sanjay Lall
Sanjay Lall Stanford University
Lachlan L. H. Andrew
Lachlan L. H. Andrew University of Melbourne
Mario Gerla
Mario Gerla University of California, Los Angeles

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