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Electronics and Electrical Engineering
Italy
2026

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
87
Citations
42247
World Ranking
337
National Ranking
6

Alberto Bemporad 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 Alberto Bemporad 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: 523 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Alberto Bemporad 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 Alberto Bemporad 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: 87 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Italy Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Italy Leader Award
  • 2023 - Research.com Electronics and Electrical Engineering in Italy Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Italy Leader Award

Overview

Alberto Bemporad is affiliated with the IMT Institute for Advanced Studies Lucca in Italy. Their research primarily spans the fields of Engineering and Computer Science, with a focus on subfields including Control and Systems Engineering, Artificial Intelligence, Computational Theory and Mathematics, Numerical Analysis, and Management Science and Operations Research.

The main topics covered by their work include Advanced Control Systems Optimization, Control Systems and Identification, Fault Detection and Control Systems, Advanced Optimization Algorithms Research, Neural Networks and Applications, Sparse and Compressive Sensing Techniques, and Formal Methods in Verification.

Bemporad has published in several frequent venues, reflecting a consistent output in key journals and conference proceedings. These publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Automatic Control
  • IEEE Control Systems Letters
  • IFAC-PapersOnLine
  • Automatica

Their recent papers illustrate the scope and diversity of their research contributions. Notable publications include:

  • OSQP: an operator splitting solver for quadratic programs, 2020, Mathematical Programming Computation
  • Learning nonlinear state-space models using autoencoders, 2021, Automatica
  • Embedded Model Predictive Control With Certified Real-Time Optimization for Synchronous Motors, 2020, IEEE Transactions on Control Systems Technology
  • Global optimization based on active preference learning with radial basis functions, 2020, Machine Learning
  • Model Predictive Control With Environment Adaptation for Legged Locomotion, 2021, Institutional Research Information System (Università degli Studi di Trento)

Frequent collaborators of Bemporad include Mario Zanon, Sampath Kumar Mulagaleti, Dario Piga, Daniele Masti, and Pablo Krupa. These co-authorships highlight ongoing research partnerships and contributions to multiple projects throughout their career.

Best Publications

  • Control of systems integrating logic, dynamics, and constraints

    Alberto Bemporad;Manfred Morari

  • The explicit linear quadratic regulator for constrained systems

    Alberto Bemporad;Manfred Morari;Vivek Dua;Efstratios N. Pistikopoulos

  • Predictive Control for Linear and Hybrid Systems

    Francesco Borrelli;Alberto Bemporad;Manfred Morari

  • Robust model predictive control: A survey

    Alberto Bemporad;Manfred Morari

  • OSQP: an operator splitting solver for quadratic programs

    Bartolomeo Stellato;Goran Banjac;Paul Goulart;Alberto Bemporad

  • Brief Equivalence of hybrid dynamical models

    W. P. M. H. Heemels;B. De Schutter;A. Bemporad

  • Model predictive control based on linear programming - the explicit solution

    A. Bemporad;F. Borrelli;M. Morari

  • Observability and controllability of piecewise affine and hybrid systems

    A. Bemporad;G. Ferrari-Trecate;R. Morari

  • Observability and controllability of piecewise affine and hybrid systems

    A. Bemporad;G. Ferrari-Trecate;M. Morari

  • Brief An algorithm for multi-parametric quadratic programming and explicit MPC solutions

    Petter TøNdel;Tor Arne Johansen;Alberto Bemporad

  • Min-max control of constrained uncertain discrete-time linear systems

    A. Bemporad;F. Borrelli;M. Morari

  • A survey on explicit model predictive control

    Alessandro Alessio;Alberto Bemporad

  • HYSDEL-a tool for generating computational hybrid models for analysis and synthesis problems

    F.D. Torrisi;A. Bemporad

  • Reference governor for constrained nonlinear systems

    A. Bemporad

  • Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities

    Gianluca Serale;Massimo Fiorentini;Alfonso Capozzoli;Daniele Bernardini

  • Nonlinear control of constrained linear systems via predictive reference management

    A. Bemporad;A. Casavola;E. Mosca

  • Technical Communique: Evaluation of piecewise affine control via binary search tree

    P. TøNdel;T. A. Johansen;A. Bemporad

  • Identification of piecewise affine systems via mixed-integer programming

    Jacob Roll;Alberto Bemporad;Lennart Ljung

  • Stochastic MPC With Learning for Driver-Predictive Vehicle Control and its Application to HEV Energy Management

    Stefano Di Cairano;Daniele Bernardini;Alberto Bemporad;Ilya V. Kolmanovsky

  • A bounded-error approach to piecewise affine system identification

    A. Bemporad;A. Garulli;S. Paoletti;A. Vicino

  • Dynamic programming for constrained optimal control of discrete-time linear hybrid systems

    Francesco Borrelli;Mato Baotić;Alberto Bemporad;Manfred Morari

  • HYSDEL - A tool for generating computational hybrid models

    Fabio Danilo Torrisi;Alberto Bemporad

Frequent Co-Authors

Manfred Morari
Manfred Morari University of Pennsylvania
Francesco Borrelli
Francesco Borrelli University of California, Berkeley
Maurice Heemels
Maurice Heemels Eindhoven University of Technology
Mircea Lazar
Mircea Lazar Eindhoven University of Technology
Ilya Kolmanovsky
Ilya Kolmanovsky University of Michigan–Ann Arbor
Davor Hrovat
Davor Hrovat University of California, San Diego
Edoardo Mosca
Edoardo Mosca University of Florence
Stephen Boyd
Stephen Boyd Stanford University
Andrea Garulli
Andrea Garulli University of Siena
Teodoro Alamo
Teodoro Alamo University of Seville

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