World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
33
Citations
4418
World Ranking
6096
National Ranking
72

Roland Tóth publication distribution in Electronics and Electrical Engineering in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Roland Tóth sits on this spectrum.

34–53 publications: 24 scientists 54–73 publications: 52 scientists 74–93 publications: 114 scientists 94–113 publications: 203 scientists 114–133 publications: 269 scientists 134–153 publications: 355 scientists 154–173 publications: 403 scientists 174–193 publications: 445 scientists 194–213 publications: 430 scientists 214–233 publications: 431 scientists 234–253 publications: 399 scientists 254–273 publications: 366 scientists 274–293 publications: 335 scientists 294–313 publications: 300 scientists 314–333 publications: 276 scientists 334–353 publications: 250 scientists 354–373 publications: 214 scientists 374–393 publications: 187 scientists 394–413 publications: 152 scientists 414–433 publications: 169 scientists 434–453 publications: 147 scientists 454–473 publications: 111 scientists 474–493 publications: 117 scientists 494–513 publications: 103 scientists 514–533 publications: 99 scientists 534–553 publications: 92 scientists 554–573 publications: 75 scientists 574–593 publications: 58 scientists 594–613 publications: 69 scientists 614–633 publications: 50 scientists 634–653 publications: 62 scientists 654–673 publications: 54 scientists 674–693 publications: 44 scientists 694–713 publications: 37 scientists 714–733 publications: 28 scientists 734–753 publications: 26 scientists 754–773 publications: 26 scientists 774–793 publications: 19 scientists 794–813 publications: 23 scientists 814–833 publications: 20 scientists 834–853 publications: 16 scientists 854–873 publications: 20 scientists 874–893 publications: 11 scientists 894–913 publications: 11 scientists 914–933 publications: 16 scientists 934–953 publications: 13 scientists 954–973 publications: 10 scientists 974–993 publications: 11 scientists 994–1,013 publications: 9 scientists 1,014–1,033 publications: 9 scientists 1,034–1,053 publications: 10 scientists 1,054–1,064 publications: 6 scientists 1,065+ publications: 99 scientists
34 publications 1,065+

This scientist: 318 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,065 publications or more.

Roland Tóth D-index placement in Electronics and Electrical Engineering in 2026

The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Roland Tóth sits on this spectrum.

30 D-Index: 178 scientists 31 D-Index: 257 scientists 32 D-Index: 263 scientists 33 D-Index: 262 scientists 34 D-Index: 244 scientists 35 D-Index: 236 scientists 36 D-Index: 211 scientists 37 D-Index: 220 scientists 38 D-Index: 214 scientists 39 D-Index: 214 scientists 40 D-Index: 205 scientists 41 D-Index: 187 scientists 42 D-Index: 194 scientists 43 D-Index: 201 scientists 44 D-Index: 155 scientists 45 D-Index: 189 scientists 46 D-Index: 148 scientists 47 D-Index: 160 scientists 48 D-Index: 134 scientists 49 D-Index: 130 scientists 50 D-Index: 141 scientists 51 D-Index: 156 scientists 52 D-Index: 108 scientists 53 D-Index: 130 scientists 54 D-Index: 112 scientists 55 D-Index: 97 scientists 56 D-Index: 111 scientists 57 D-Index: 102 scientists 58 D-Index: 108 scientists 59 D-Index: 120 scientists 60 D-Index: 103 scientists 61 D-Index: 93 scientists 62 D-Index: 92 scientists 63 D-Index: 74 scientists 64 D-Index: 77 scientists 65 D-Index: 73 scientists 66 D-Index: 64 scientists 67 D-Index: 69 scientists 68 D-Index: 60 scientists 69 D-Index: 39 scientists 70 D-Index: 57 scientists 71 D-Index: 59 scientists 72 D-Index: 46 scientists 73 D-Index: 49 scientists 74 D-Index: 38 scientists 75 D-Index: 35 scientists 76 D-Index: 32 scientists 77 D-Index: 35 scientists 78 D-Index: 31 scientists 79 D-Index: 22 scientists 80 D-Index: 34 scientists 81 D-Index: 31 scientists 82 D-Index: 34 scientists 83 D-Index: 23 scientists 84 D-Index: 18 scientists 85 D-Index: 30 scientists 86 D-Index: 19 scientists 87 D-Index: 19 scientists 88 D-Index: 20 scientists 89 D-Index: 8 scientists 90 D-Index: 17 scientists 91 D-Index: 7 scientists 92 D-Index: 14 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 12 scientists 97 D-Index: 10 scientists 98 D-Index: 10 scientists 99 D-Index: 12 scientists 100 D-Index: 16 scientists 101 D-Index: 5 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 8 scientists 105 D-Index: 9 scientists 106 D-Index: 13 scientists 107 D-Index: 4 scientists 108 D-Index: 5 scientists 109 D-Index: 10 scientists 110 D-Index: 8 scientists 111+ D-Index: 96 scientists
30 D-Index 111+

This scientist: 33 D-Index — 14th percentile

14% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Best Publications

  • Modeling and Identification of Linear Parameter-Varying Systems

    Unknown

  • SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

    Unknown

  • Refined instrumental variable methods for identification of LPV Box-Jenkins models

    Vincent Laurain;Marion Gilson;Roland Tóth;Hugues Garnier

  • On the State-Space Realization of LPV Input-Output Models: Practical Approaches

    R. Toth;H. S. Abbas;H. Werner

  • Discrete time LPV I/O and state space representations, differences of behavior and pitfalls of interpolation

    Roland Toth;Federico Felici;Peter S. C. Heuberger;Paul M. J. Van den Hof

  • A review on data-driven linear parameter-varying modeling approaches: A high-purity distillation column case study

    A.A. Bachnas;R. Tóth;J.H.A. Ludlage;A. Mesbah

  • Asymptotically optimal orthonormal basis functions for LPV system identification

    Roland Tóth;Peter S. C. Heuberger;Paul M. J. Van den Hof

  • Direct learning of LPV controllers from data

    Simone Formentin;Dario Piga;Roland Tóth;Sergio M. Savaresi

  • The Behavioral Approach to Linear Parameter-Varying Systems

    R. Toth;J. C. Willems;P. S. C. Heuberger;P. M. J. Van den Hof

  • Instrumental variable scheme for closed-loop LPV model identification

    Roland TóTh;Vincent Laurain;Marion Gilson;Hugues Garnier

  • Discretisation of linear parameter-varying state-space representations

    Unknown

  • Model structure learning: A support vector machine approach for LPV linear-regression models

    Roland Toth;Vincent Laurain;Wei Xing Zheng;Kameshwar Poolla

  • Compressive System Identification of LTI and LTV ARX models

    Borhan M. Sanandaji;Tyrone L. Vincent;Michael B. Wakin;Roland Toth

  • Linear parameter-varying subspace identification: A unified framework

    Unknown

  • LPV system identification under noise corrupted scheduling and output signal observations

    Unknown

  • Crucial Aspects of Zero-Order Hold LPV State-Space System Discretization ⋆

    Unknown

  • Data-Driven Predictive Control for Linear Parameter-Varying Systems

    Unknown

  • Compressive System Identification in the Linear Time-Invariant framework

    Roland Toth;Borhan M. Sanandaji;Kameshwar Poolla;Tyrone L. Vincent

  • Sparse Estimation of Polynomial and Rational Dynamical Models

    Cristian R. Rojas;Roland Toth;Hakan Hjalmarsson

  • State-space LPV model identification using kernelized machine learning

    Syed Zeeshan Rizvi;Javad Mohammadpour Velni;Farshid Abbasi;Roland Roland Tóth

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