World's Best Scientists 2026 revealed!
Venkataramanan Balakrishnan

Venkataramanan Balakrishnan

D-Index & Metrics

Engineering and Technology

D-Index
32
Citations
38279
World Ranking
9496
National Ranking
2672

Venkataramanan Balakrishnan 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 Venkataramanan Balakrishnan 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: 195 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Venkataramanan Balakrishnan 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 Venkataramanan Balakrishnan 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

Venkataramanan Balakrishnan is affiliated with Purdue University West Lafayette in the United States. Their research spans across the field of Engineering, with a particular focus on several subfields including Civil and Structural Engineering, Plant Science, Water Science and Technology, Electrical and Electronic Engineering, and Building and Construction.

Their work covers a range of topics, notably Smart Agriculture and AI, Water Quality Monitoring Technologies, IoT-based Smart Home Systems, Structural Load-Bearing Analysis, Structural Engineering and Materials Analysis, Structural Behavior of Reinforced Concrete, as well as Matrix Theory and Algorithms.

Balakrishnan has contributed to multiple recent papers, highlighting diverse areas of applied engineering and technology. These include:

  • Automatic irrigation system with rain fall detection in agricultural field (2020) published in Measurement
  • Numerical simulation of cold-formed T-shaped built-up steel sections under bending (2021) published in Materials Today Proceedings
  • Effectiveness and robustness revisited for a preconditioning technique based on structured incomplete factorization (2020) published in Numerical Linear Algebra with Applications
  • Policy and investment gaps in IPC (2025) published in The Lancet Microbe

Their collaborations include frequent co-authorships with S. R. Barkunan, V. Bhanumathi, G. Aruna, L. Ponraj Sankar, and N. Sudharsan, reflecting interdisciplinary and cross-domain research partnerships.

Balakrishnan's research has appeared in notable scholarly venues such as Measurement, Materials Today Proceedings, Numerical Linear Algebra with Applications, and The Lancet Microbe, ensuring dissemination of work in both engineering-specific and broader scientific contexts.

Best Publications

  • Linear matrix inequalities in system and control theory

    S. Boyd

  • Robust constrained model predictive control using linear matrix inequalities

    Mayuresh V. Kothare;Venkataramanan Balakrishnan;Manfred Morari

  • A bisection method for computing the H ∞ norm of a transfer matrix and related problems

    S. Boyd;V. Balakrishnan;Pierre T. Kabamba

  • History of linear matrix inequalities in control theory

    S. Boyd;V. Balakrishnan;E. Feron;L. El Ghaoui

  • Book reviews: System identification: theory for the user (second edition)

    Venkataramanan Balakrishnan

  • A new CAD method and associated architectures for linear controllers

    S.P. Boyd;V. Balakrishnan;C.H. Barratt;N.M. Khraishi

  • A regularity result for the singular values of a transfer matrix and a quadratically convergent algorithm for computing its L ∞ -norm

    S. Boyd;V. Balakrishnan

  • Semidefinite programming duality and linear time-invariant systems

    V. Balakrishnan;L. Vandenberghe

  • Improved stability analysis and gain-scheduled controller synthesis for parameter-dependent systems

    Fan Wang;V. Balakrishnan

  • Robust Kalman filters for linear time-varying systems with stochastic parametric uncertainties

    Fan Wang;V. Balakrishnan

  • Branch and bound algorithm for computing the minimum stability degree of parameter‐dependent linear systems

    V. Balakrishnan;S. Boyd;S. Balemi

  • Optimal array pattern synthesis using semidefinite programming

    Fan Wang;V. Balakrishnan;P.Y. Zhou;J.J. Chen

  • Synthesis of fixed-structure controllers via numerical optimization

    L. El Ghaoui;V. Balakrishnan

  • Control System Analysis and Synthesis via Linear Matrix Inequalities

    S. Boyd;V. Balakrishnan;E. Feron;L. ElGhaoui

  • Algorithms and software for LMI problems in control

    L. Vandenberghe;V. Balakrishnan

  • Interior-Point Algorithms for Semidefinite Programming Problems Derived from the KYP Lemma

    Lieven Vandenberghe;Venkataramanan Balakrishnan;Ragnar Wallin;Anders Hansson

  • Real-time failure-tolerant control of kinematically redundant manipulators

    K.N. Groom;A.A. Maciejewski;V. Balakrishnan

  • Superfast and Stable Structured Solvers for Toeplitz Least Squares via Randomized Sampling

    Yuanzhe Xi;Jianlin Xia;Stephen Cauley;Venkataramanan Balakrishnan

  • Linear matrix inequalities in robustness analysis with multipliers

    V. Balakrishnan

  • Robust steady-state filtering for systems with deterministic and stochastic uncertainties

    Fan Wang;V. Balakrishnan

  • Robustness under bounded uncertainty with phase information

    A.L. Tits;V. Balakrishnan;L. Lee

  • Robust constrained model predictive control using linear matrix inequalities

    M.V. Kothare;V. Balakrishnan;M. Morai

Frequent Co-Authors

Cheng-Kok Koh
Cheng-Kok Koh Purdue University West Lafayette
Stephen Boyd
Stephen Boyd Stanford University
Eric Feron
Eric Feron King Abdullah University of Science and Technology
Anthony A. Maciejewski
Anthony A. Maciejewski Colorado State University
Lieven Vandenberghe
Lieven Vandenberghe University of California, Los Angeles
Laurent El Ghaoui
Laurent El Ghaoui VinUniversity
David J. Love
David J. Love Purdue University West Lafayette
André L. Tits
André L. Tits University of Maryland, College Park
Tung-Sang Ng
Tung-Sang Ng University of Hong Kong
Harm HogenEsch
Harm HogenEsch Purdue University West Lafayette

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