World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
55
Citations
12443
World Ranking
2165
National Ranking
48

Lalo Magni 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 Lalo Magni 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: 206 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Lalo Magni 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 Lalo Magni 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: 55 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Lalo Magni is affiliated with the University of Pavia in Italy and has a research focus spanning engineering and medicine, producing work primarily within advanced control systems and diabetes-related research.

Their academic contributions include publications in key fields such as:

  • Engineering
  • Medicine

These fields are further refined into subfields including:

  • Control and Systems Engineering
  • Endocrinology, Diabetes and Metabolism
  • Civil and Structural Engineering
  • Surgery
  • Electrical and Electronic Engineering

The main research topics addressed by Magni cover:

  • Advanced Control Systems Optimization
  • Diabetes Management and Research
  • Fault Detection and Control Systems
  • Water Systems and Optimization
  • Pancreatic function and diabetes
  • Control Systems and Identification
  • Diabetes and associated disorders

Frequent collaboration partners include Chiara Toffanin, Giacomo Galuppini, Irene Schimperna, Enrico Creaco, and Francesca Iacono.

Their work has appeared repeatedly in a number of scientific venues, notably:

  • IFAC-PapersOnLine
  • Control Engineering Practice
  • IEEE Transactions on Control Systems Technology
  • arXiv (Cornell University)
  • Automatica

Representative recent publications include:

  • "Stability and Robustness of Real-Time Pressure Control in Water Distribution Systems," 2020, Journal of Hydraulic Engineering
  • "Artificial Pancreas: In Silico Study Shows No Need of Meal Announcement and Improved Time in Range of Glucose With Intraperitoneal vs. Subcutaneous Insulin Delivery," 2021, IEEE Transactions on Medical Robotics and Bionics
  • "Personalized LSTM-based alarm systems for hypoglycemia and hyperglycemia prevention," 2023, Biomedical Signal Processing and Control
  • "A gain scheduling approach to improve pressure control in water distribution networks," 2020, Control Engineering Practice
  • "Robust constrained nonlinear Model Predictive Control with Gated Recurrent Unit model," 2023, Automatica

Best Publications

  • Nonlinear Model Predictive Control

    Lalo Magni;Davide Martino Raimondo;Frank Allgöwer

  • Diabetes: Models, Signals, and Control

    C. Cobelli;C. Dalla Man;G. Sparacino;L. Magni

  • A stabilizing model-based predictive control algorithm for nonlinear systems

    L. Magni;G.De Nicolao;L. Magnani;R. Scattolini

  • Model predictive control of type 1 diabetes: an in silico trial.

    Lalo Magni;Davide M. Raimondo;Luca Bossi;Chiara Dalla Man

  • Stabilizing receding-horizon control of nonlinear time-varying systems

    G. De Nicolao;L. Magni;R. Scattolini

  • Robust model predictive control for nonlinear discrete-time systems

    L. Magni;G. De Nicolao;R. Scattolini;F. Allgöwer

  • Min-max model predictive control of nonlinear systems : a unifying overview on stability

    Davide Martino Raimondo;Daniel Limon;Mircea Lazar;Lalo Magni

  • Evaluating the efficacy of closed-loop glucose regulation via control-variability grid analysis.

    Lalo Magni;Davide M. Raimondo;Chiara Dalla Man;Marc Breton

  • Technical communique: Stabilizing decentralized model predictive control of nonlinear systems

    L. Magni;R. Scattolini

  • Modular Closed-Loop Control of Diabetes

    S. D. Patek;L. Magni;E. Dassau;C. Hughes-Karvetski

  • Stability and Robustness of Nonlinear Receding Horizon Control

    G. De Nicolao;L. Magni;R. Scattolini

  • Robustness and robust design of MPC for nonlinear discrete-time systems

    Lalo Magni;Riccardo Scattolini

  • Robust Model Predictive Control With Integral Sliding Mode in Continuous-Time Sampled-Data Nonlinear Systems

    Matteo Rubagotti;Davide Martino Raimondo;Antonella Ferrara;Lalo Magni

  • Stability margins of nonlinear receding-horizon control via inverse optimality

    L. Magni;R. Sepulchre

  • Model predictive control of glucose concentration in type I diabetic patients: An in silico trial

    L. Magni;D.M. Raimondo;C. Dalla Man;G. De Nicolao

  • Regional Input-to-State Stability for Nonlinear Model Predictive Control

    L. Magni;D.M. Raimondo;R. Scattolini

  • Cooperative Constrained Control of Distributed Agents With Nonlinear Dynamics and Delayed Information Exchange: A Stabilizing Receding-Horizon Approach

    E. Franco;L. Magni;T. Parisini;M.M. Polycarpou

  • Nonlinear model predictive control : towards new challenging applications

    Lalo Magni;Davide Martino Raimondo;Frank Allgöwer

  • MPC for Robot Manipulators With Integral Sliding Modes Generation

    Gian Paolo Incremona;Antonella Ferrara;Lalo Magni

  • Decentralized MPC of nonlinear systems: An input-to-state stability approach

    D.M. Raimondo;L. Magni;R. Scattolini

  • Model predictive control of continuous-time nonlinear systems with piecewise constant control

    L. Magni;R. Scattolini

Frequent Co-Authors

Riccardo Scattolini
Riccardo Scattolini Polytechnic University of Milan
Claudio Cobelli
Claudio Cobelli University of Padua
Angelo Avogaro
Angelo Avogaro University of Padua
Giuseppe De Nicolao
Giuseppe De Nicolao University of Pavia
Antonella Ferrara
Antonella Ferrara University of Pavia
Francis J. Doyle
Francis J. Doyle Brown University
Georges Bastin
Georges Bastin Université Catholique de Louvain
Moritz Diehl
Moritz Diehl University of Freiburg
Frank Allgöwer
Frank Allgöwer University of Stuttgart

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