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Stefano Di Cairano

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 42 4051 3889 1447 1352 285 8623

Stefano Di Cairano publications per year

The chart shows the history of publications by Stefano Di Cairano between 2005 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Stefano Di Cairano published across 22 years, from 2005 to 2026, averaging 15.2 papers a year. Output peaked at 31 publications in 2023. 31 of the 335 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2005 to 2026. Vertical axis: number of publications, 0 to 31. Peak 31 publications in 2023. 2005: 2 publications 2006: 5 publications 2007: 6 publications 2008: 5 publications 2009: 10 publications 2010: 11 publications 2011: 8 publications 2012: 12 publications 2013: 12 publications 2014: 18 publications 2015: 19 publications 2016: 16 publications 2017: 15 publications 2018: 22 publications 2019: 24 publications 2020: 24 publications 2021: 20 publications 2022: 24 publications 2023: 31 publications 2024: 20 publications 2025: 24 publications 2026: 7 publications
2005 2026

335 publications in total across all disciplines

View publications per year as a table
Stefano Di Cairano: publications per year, 2005 to 2026
Year Publications
2005 2
2006 5
2007 6
2008 5
2009 10
2010 11
2011 8
2012 12
2013 12
2014 18
2015 19
2016 16
2017 15
2018 22
2019 24
2020 24
2021 20
2022 24
2023 31
2024 20
2025 24
2026 7
Total 335
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Stefano Di Cairano publications per year - data summary

  • Stefano Di Cairano, a Electronics and Electrical Engineering scholar from Mitsubishi Electric (United States), has 335 publications recorded across 22 years, from 2005 to 2026.
  • The oldest publication on record dates to 2005 and the most recent to 2026.
  • The most productive year is 2023, with 31 publications.
  • The least productive year with any output is 2005, with 2 publications.
  • The rate of publication averages 15.2 papers per year over the whole span, or 15.2 per year counting only the 22 years with at least one publication.
  • The last 5 years on the chart (2022-2026) hold 106 publications, 32% of the career total.
  • Split into equal eras - 2005-2012: 59 publications (7.4 per year); 2013-2020: 150 publications (18.8 per year); 2021-2026: 126 publications (21.0 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

Stefano Di Cairano 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 Stefano Di Cairano 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, 274–293 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: 285 publications — 54th percentile

54% 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
214–233 431
234–253 399
254–273 366
274–293 335 285
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
Download as CSV

Stefano Di Cairano publication distribution in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the publication count of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 53 ranges running from 34–53 to 1,065+ publications.
  • Stefano Di Cairano, a Electronics and Electrical Engineering scholar from Mitsubishi Electric (United States), records 285 publications - the 54th percentile of the discipline.
  • 54% of ranked Electronics and Electrical Engineering scientists score the same or lower than Stefano Di Cairano, and about 46% score higher.
  • The median of the discipline falls in the 254–273 publications range, and Stefano Di Cairano ranks above the median.
  • The most crowded range is 174–193 publications, holding 445 scientists (6% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 294–313 publications), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 1,065 publications or more, 99 scientists in all (1% of the field).

Stefano Di Cairano 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 Stefano Di Cairano 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, 42 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: 42 D-Index — 42nd percentile

42% 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 42
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
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

Stefano Di Cairano D-index placement in Electronics and Electrical Engineering in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 6,875 Electronics and Electrical Engineering scientists ranked by Research.com in 2026, grouped into 82 ranges running from 30 to 111+ D-Index.
  • Stefano Di Cairano, a Electronics and Electrical Engineering scholar from Mitsubishi Electric (United States), records 42 D-Index - the 42nd percentile of the discipline.
  • 42% of ranked Electronics and Electrical Engineering scientists score the same or lower than Stefano Di Cairano, and about 58% score higher.
  • The median of the discipline falls in the 46 D-Index range, and Stefano Di Cairano ranks below the median.
  • The most crowded range is 32 D-Index, holding 263 scientists (4% of the field).
  • 60% of the field sits in the lowest quarter of the value range (up to 50 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 111 D-Index or more, 96 scientists in all (1% of the field).

Best Publications

  • MPC-Based Energy Management of a Power-Split Hybrid Electric Vehicle

    H. Borhan;A. Vahidi;A. M. Phillips;M. L. Kuang

  • 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

  • Reference and command governors for systems with constraints

    Emanuele Garone;Stefano Di Cairano;Ilya Kolmanovsky

  • Vehicle Yaw Stability Control by Coordinated Active Front Steering and Differential Braking in the Tire Sideslip Angles Domain

    S. Di Cairano;H. E. Tseng;D. Bernardini;A. Bemporad

  • Cloud-Based Velocity Profile Optimization for Everyday Driving: A Dynamic-Programming-Based Solution

    Engin Ozatay;Simona Onori;James Wollaeger;Ümit Özgüner

  • Model Predictive Control approach for guidance of spacecraft rendezvous and proximity maneuvering

    S. Di Cairano;H. Park;I. Kolmanovsky

  • A stochastic model predictive control approach for series hybrid electric vehicle power management

    G. Ripaccioli;D. Bernardini;S. Di Cairano;A. Bemporad

  • The development of Model Predictive Control in automotive industry: A survey

    D. Hrovat;S. Di Cairano;H.E. Tseng;I.V. Kolmanovsky

  • Reference and command governors: A tutorial on their theory and automotive applications

    Ilya V. Kolmanovsky;Emanuele Garone;Stefano Di Cairano

  • Model Predictive Control Tuning by Controller Matching

    S. Di Cairano;A. Bemporad

  • Model Predictive Idle Speed Control: Design, Analysis, and Experimental Evaluation

    S. Di Cairano;D. Yanakiev;A. Bemporad;I. V. Kolmanovsky

  • Stochastic model predictive control with driver behavior learning for improved powertrain control

    M. Bichi;G. Ripaccioli;S. Di Cairano;D. Bernardini

  • Model predictive control of magnetically actuated mass spring dampers for automotive applications

    S. Di Cairano;A. Bemporad;I. V. Kolmanovsky;D. Hrovat

  • Power Smoothing Energy Management and Its Application to a Series Hybrid Powertrain

    Stefano Di Cairano;Wei Liang;Ilya V. Kolmanovsky;Ming L. Kuang

  • Hybrid Modeling, Identification, and Predictive Control: An Application to Hybrid Electric Vehicle Energy Management

    G. Ripaccioli;A. Bemporad;F. Assadian;C. Dextreit

  • Lyapunov based predictive control of vehicle drivetrains over CAN

    Constantin F. Caruntu;Mircea Lazar;Rob H. Gielen;P.P.J. van den Bosch

  • Industry engagement with control research: Perspective and messages

    Tariq Samad;Margret Bauer;Scott Bortoff;Stefano Di Cairano

  • Real-time optimization and model predictive control for aerospace and automotive applications

    Stefano Di Cairano;Ilya V. Kolmanovsky

  • Nonlinear Model Predictive Control for power-split Hybrid Electric Vehicles

    H. Ali Borhan;Chen Zhang;Ardalan Vahidi;Anthony M. Phillips

  • Hybrid Systems: Computation and Control

    Magnus Egerstedt;Bud Mishra

Frequent Co-Authors

Alberto Bemporad
Alberto Bemporad IMT Institute for Advanced Studies Lucca
Ilya Kolmanovsky
Ilya Kolmanovsky University of Michigan–Ann Arbor
Davor Hrovat
Davor Hrovat University of California, San Diego
Mircea Lazar
Mircea Lazar Eindhoven University of Technology
Iven Mareels
Iven Mareels IBM (United States)
Anthony M. Bloch
Anthony M. Bloch University of Michigan–Ann Arbor
Lorenzo Fagiano
Lorenzo Fagiano Polytechnic University of Milan

External Links

Personal website of Stefano Di Cairano Google Scholar page

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Related Online Degrees & Career Pathways

For those interested in Electronics and Electrical Engineering, exploring related online degrees can open doors to diverse career pathways. For example, pursuing a project manager bachelor degree online can complement technical engineering skills with leadership and organizational expertise, essential for managing complex engineering projects.

Many students balancing work and study benefit from online degree programs for working adults. These flexible programs allow for efficient learning without sacrificing career progress, enabling professionals to upgrade their skills without interruption.

Another promising option is enrolling in one of the best online instructional design master's programs. Such degrees can prepare engineers to design effective training materials and educational technology, bridging the gap between engineering and education fields.

Additionally, competency based programs offer a tailored learning experience focused on mastering specific skills. This approach is particularly beneficial for engineers seeking targeted expertise and faster degree completion based on their prior knowledge and experience.

Best Scientists Citing Stefano Di Cairano

Alberto Bemporad

Alberto Bemporad

IMT Institute for Advanced Studies Lucca

Publications: 13

Ilya Kolmanovsky

Ilya Kolmanovsky

University of Michigan–Ann Arbor

Publications: 12

Mircea Lazar

Mircea Lazar

Eindhoven University of Technology

Publications: 6

Qinglei Hu

Qinglei Hu

Beihang University

Publications: 6

Francesco Borrelli

Francesco Borrelli

University of California, Berkeley

Publications: 4

Carlos Bordons

Carlos Bordons

University of Seville

Publications: 3

Marco C. Campi

Marco C. Campi

University of Brescia

Publications: 2

Manfred Morari

Manfred Morari

University of Pennsylvania

Publications: 2

Christos G. Cassandras

Christos G. Cassandras

Boston University

Publications: 2

Heath Hofmann

Heath Hofmann

University of Michigan–Ann Arbor

Publications: 2

Karl Henrik Johansson

Karl Henrik Johansson

Royal Institute of Technology

Publications: 2

Dennis S. Bernstein

Dennis S. Bernstein

University of Michigan–Ann Arbor

Publications: 2

Youmin Zhang

Youmin Zhang

Concordia University

Publications: 2

Jing Sun

Jing Sun

University of Michigan–Ann Arbor

Publications: 2

Davor Hrovat

Davor Hrovat

University of California, San Diego

Publications: 2

Behcet Acikmese

Behcet Acikmese

The University of Texas at Austin

Publications: 2

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