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Lalo Magni

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 55 2165 2077 48 47 206 12443

Lalo Magni publications per year

The chart shows the history of publications by Lalo Magni between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Lalo Magni published across 32 years, from 1994 to 2025, averaging 7.5 papers a year. Output peaked at 16 publications in 2014. 14 of the 240 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 16. Peak 16 publications in 2014. 1994: 1 publication 1995: 0 publications 1996: 5 publications 1997: 5 publications 1998: 4 publications 1999: 6 publications 2000: 8 publications 2001: 11 publications 2002: 8 publications 2003: 5 publications 2004: 7 publications 2005: 6 publications 2006: 5 publications 2007: 11 publications 2008: 8 publications 2009: 14 publications 2010: 6 publications 2011: 6 publications 2012: 5 publications 2013: 8 publications 2014: 16 publications 2015: 13 publications 2016: 12 publications 2017: 13 publications 2018: 5 publications 2019: 8 publications 2020: 5 publications 2021: 5 publications 2022: 4 publications 2023: 16 publications 2024: 6 publications 2025: 8 publications
1994 2025

240 publications in total across all disciplines

View publications per year as a table
Lalo Magni: publications per year, 1994 to 2025
Year Publications
1994 1
1995 0
1996 5
1997 5
1998 4
1999 6
2000 8
2001 11
2002 8
2003 5
2004 7
2005 6
2006 5
2007 11
2008 8
2009 14
2010 6
2011 6
2012 5
2013 8
2014 16
2015 13
2016 12
2017 13
2018 5
2019 8
2020 5
2021 5
2022 4
2023 16
2024 6
2025 8
Total 240
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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.

No. of scientists
100 200 300 400
Bar chart with 53 bars. Horizontal axis: publications, 34–53 to 1,065+. Vertical axis: number of scientists, 0 to 445. Most scientists, 445, have 174–193 publications. The last bar groups every scientist with 1,065 publications or more. The highlighted bar, 194–213 publications, is where this scientist sits. 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
34–53 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.

View publications distribution as a table
Number of Electronics and Electrical Engineering scientists by publication count, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
Publications Scientists This scientist
34–53 24
54–73 52
74–93 114
94–113 203
114–133 269
134–153 355
154–173 403
174–193 445
194–213 430 206
214–233 431
234–253 399
254–273 366
274–293 335
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111
474–493 117
494–513 103
514–533 99
534–553 92
554–573 75
574–593 58
594–613 69
614–633 50
634–653 62
654–673 54
674–693 44
694–713 37
714–733 28
734–753 26
754–773 26
774–793 19
794–813 23
814–833 20
834–853 16
854–873 20
874–893 11
894–913 11
914–933 16
934–953 13
954–973 10
974–993 11
994–1,013 9
1,014–1,033 9
1,034–1,053 10
1,054–1,064 6
1,065+ 99
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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.

No. of scientists
50 100 150 200 250
Bar chart with 82 bars. Horizontal axis: D-Index, 30 to 111+. Vertical axis: number of scientists, 0 to 263. Most scientists, 263, have 32 D-Index. The last bar groups every scientist with 111 D-Index or more. The highlighted bar, 55 D-Index, is where this scientist sits. 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.

View D-Index distribution as a table
Number of Electronics and Electrical Engineering scientists by D-index, Research.com 2026 ranking edition. Based on 6,875 ranked scientists.
D-Index Scientists This scientist
30 178
31 257
32 263
33 262
34 244
35 236
36 211
37 220
38 214
39 214
40 205
41 187
42 194
43 201
44 155
45 189
46 148
47 160
48 134
49 130
50 141
51 156
52 108
53 130
54 112
55 97 55
56 111
57 102
58 108
59 120
60 103
61 93
62 92
63 74
64 77
65 73
66 64
67 69
68 60
69 39
70 57
71 59
72 46
73 49
74 38
75 35
76 32
77 35
78 31
79 22
80 34
81 31
82 34
83 23
84 18
85 30
86 19
87 19
88 20
89 8
90 17
91 7
92 14
93 9
94 15
95 10
96 12
97 10
98 10
99 12
100 16
101 5
102 7
103 7
104 8
105 9
106 13
107 4
108 5
109 10
110 8
111+ 96
Download as CSV

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
Richard D. Braatz
Richard D. Braatz MIT
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

External Links

Personal website of Lalo Magni Google Scholar page

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Best Scientists Citing Lalo Magni

Francis J. Doyle

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Brown University

Publications: 75

Claudio Cobelli

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Publications: 73

Frank Allgöwer

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University of Stuttgart

Publications: 63

Rolf Findeisen

Rolf Findeisen

Technical University of Darmstadt

Publications: 51

Riccardo Scattolini

Riccardo Scattolini

Polytechnic University of Milan

Publications: 41

Ali Cinar

Ali Cinar

Illinois Institute of Technology

Publications: 40

Moritz Diehl

Moritz Diehl

University of Freiburg

Publications: 40

Antonella Ferrara

Antonella Ferrara

University of Pavia

Publications: 34

Eduardo F. Camacho

Eduardo F. Camacho

University of Seville

Publications: 32

Teodoro Alamo

Teodoro Alamo

University of Seville

Publications: 30

Yang Shi

Yang Shi

University of Victoria

Publications: 30

Andrea Facchinetti

Andrea Facchinetti

University of Padua

Publications: 30

Mircea Lazar

Mircea Lazar

Eindhoven University of Technology

Publications: 29

B. Wayne Bequette

B. Wayne Bequette

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Publications: 28

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Stanford University

Publications: 28

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Publications: 26

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