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Marco Rivera

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 44 3657 3511 201 195 462 11450

Marco Rivera publications per year

The chart shows the history of publications by Marco Rivera between 1998 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Marco Rivera published across 28 years, from 1998 to 2025, averaging 23.4 papers a year. Output peaked at 61 publications in 2017. 112 of the 655 publications appeared in the last two years.

No. of publications
20 40 60
Bar chart. Horizontal axis: year, 1998 to 2025. Vertical axis: number of publications, 0 to 61. Peak 61 publications in 2017. 1998: 3 publications 1999: 2 publications 2000: 5 publications 2001: 0 publications 2002: 1 publication 2003: 1 publication 2004: 4 publications 2005: 4 publications 2006: 1 publication 2007: 3 publications 2008: 7 publications 2009: 4 publications 2010: 10 publications 2011: 3 publications 2012: 21 publications 2013: 35 publications 2014: 21 publications 2015: 31 publications 2016: 55 publications 2017: 61 publications 2018: 60 publications 2019: 57 publications 2020: 35 publications 2021: 55 publications 2022: 28 publications 2023: 36 publications 2024: 58 publications 2025: 54 publications
1998 2025

655 publications in total across all disciplines

View publications per year as a table
Marco Rivera: publications per year, 1998 to 2025
Year Publications
1998 3
1999 2
2000 5
2001 0
2002 1
2003 1
2004 4
2005 4
2006 1
2007 3
2008 7
2009 4
2010 10
2011 3
2012 21
2013 35
2014 21
2015 31
2016 55
2017 61
2018 60
2019 57
2020 35
2021 55
2022 28
2023 36
2024 58
2025 54
Total 655
Download as CSV

Marco Rivera 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 Marco Rivera 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, 454–473 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: 462 publications — 81st percentile

81% 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
294–313 300
314–333 276
334–353 250
354–373 214
374–393 187
394–413 152
414–433 169
434–453 147
454–473 111 462
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

Marco Rivera 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 Marco Rivera 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, 44 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: 44 D-Index — 47th percentile

47% 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 44
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

Overview

Marco Rivera is affiliated with the University of Nottingham in the United Kingdom. Their primary field of study is Engineering, with a significant focus on Electrical and Electronic Engineering, along with Control and Systems Engineering. They also contribute to subfields including Renewable Energy, Sustainability and the Environment, Automotive Engineering, and Computer Networks and Communications.

Rivera's research concentrates on several main topics, including:

  • Multilevel Inverters and Converters
  • Advanced DC-DC Converters
  • Microgrid Control and Optimization
  • Silicon Carbide Semiconductor Technologies
  • Sensorless Control of Electric Motors
  • Photovoltaic System Optimization Techniques
  • Advanced Battery Technologies Research

Their recent publications cover various aspects of power electronics and motor drive systems, with notable papers such as:

  • "A Low-Complexity Optimal Switching Time-Modulated Model-Predictive Control for PMSM With Three-Level NPC Converter" (2020), published in IEEE Transactions on Transportation Electrification
  • "A Reduced Single-Phase Switched-Diode Cascaded Multilevel Inverter" (2020), published in IEEE Journal of Emerging and Selected Topics in Power Electronics
  • "A Novel Modulated Model Predictive Control Applied to Six-Phase Induction Motor Drives" (2020), published in IEEE Transactions on Industrial Electronics
  • "Trends and Challenges in Multi-Level Inverter with Reduced Switches" (2021), published in Electronics
  • "Predictive Control for Microgrid Applications: A Review Study" (2020), published in Energies

Rivera collaborates frequently with a group of coauthors, including Patrick Wheeler, Javier Muñoz, Diego Rojas, Jaime Rohten, and Sérgio Toledo.

They have contributed extensively to several publication venues, reflecting their engagement with the academic community in electrical and control engineering. Key venues where Rivera has published include:

  • 2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)
  • 2022 IEEE International Conference on Automation/XXV Congress of the Chilean Association of Automatic Control (ICA-ACCA)
  • 2021 IEEE International Conference on Automation/XXIV Congress of the Chilean Association of Automatic Control (ICA-ACCA)
  • Energies
  • IEEE Access

In addition to journal and conference publications, Rivera authored a book titled Practical Guide to Machine Learning, NLP, and Generative AI: Libraries, Algorithms, and Applications, published in 2024 by River Publishers eBooks.

Best Publications

  • Model Predictive Control for Power Converters and Drives: Advances and Trends

    Sergio Vazquez;Jose Rodriguez;Marco Rivera;Leopoldo G. Franquelo

  • A Review of Control and Modulation Methods for Matrix Converters

    Jose Rodriguez;Marco Rivera;Johan W. Kolar;Patrick W. Wheeler

  • Improved Active Power Filter Performance for Renewable Power Generation Systems

    Pablo Acuna;Luis Moran;Marco Rivera;Juan Dixon

  • Finite-Set Model-Predictive Control Strategies for a 3L-NPC Inverter Operating With Fixed Switching Frequency

    Felipe Donoso;Andres Mora;Roberto Cardenas;Alejandro Angulo

  • Model Predictive Current Control of Two-Level Four-Leg Inverters—Part I: Concept, Algorithm, and Simulation Analysis

    V. Yaramasu;M. Rivera;Bin Wu;J. Rodriguez

  • Model Predictive Approach for a Simple and Effective Load Voltage Control of Four-Leg Inverter With an Output $LC$ Filter

    Venkata Yaramasu;Marco Rivera;Mehdi Narimani;Bin Wu

  • Multiobjective Switching State Selector for Finite-States Model Predictive Control Based on Fuzzy Decision Making in a Matrix Converter

    F. Villarroel;J. R. Espinoza;C. A. Rojas;J. Rodriguez

  • Current Control for an Indirect Matrix Converter With Filter Resonance Mitigation

    M. Rivera;J. Rodriguez;Bin Wu;J. R. Espinoza

  • Digital Predictive Current Control of a Three-Phase Four-Leg Inverter

    M. Rivera;V. Yaramasu;Ana Llor;J. Rodriguez

  • Predictive control of an indirect matrix converter

    P. Correa;J. Rodriguez;M. Rivera;J.R. Espinoza

  • Predictive Current Control With Input Filter Resonance Mitigation for a Direct Matrix Converter

    M. Rivera;C. Rojas;J. Rodríguez;P. Wheeler

  • A Comparative Assessment of Model Predictive Current Control and Space Vector Modulation in a Direct Matrix Converter

    M. Rivera;A. Wilson;C. A. Rojas;J. Rodriguez

  • A Single-Objective Predictive Control Method for a Multivariable Single-Phase Three-Level NPC Converter-Based Active Power Filter

    Pablo Acuna;Luis Moran;Marco Rivera;Ricardo Aguilera

  • Model Predictive Current Control of Two-Level Four-Leg Inverters—Part II: Experimental Implementation and Validation

    M. Rivera;V. Yaramasu;J. Rodriguez;Bin Wu

  • Stabilization of unstable steady states and periodic orbits in an electrochemical system using delayed-feedback control.

    P. Parmananda;R. Madrigal;M. Rivera;L. Nyikos

  • A New Power Conversion System for Megawatt PMSG Wind Turbines Using Four-Level Converters and a Simple Control Scheme Based on Two-Step Model Predictive Strategy—Part II: Simulation and Experimental Analysis

    Venkata Yaramasu;Bin Wu;Marco Rivera;Jose Rodriguez

  • Predictive Control of an Induction Machine Fed by a Matrix Converter With Increased Efficiency and Reduced Common-Mode Voltage

    Rene Vargas;Jose Rodriguez;Christian A. Rojas;Marco Rivera

  • A Computationally Efficient Lookup Table Based FCS-MPC for PMSM Drives Fed by Matrix Converters

    Mohsen Siami;Davood Arab Khaburi;Marco Rivera;Jose Rodriguez

  • Instantaneous Reactive Power Minimization and Current Control for an Indirect Matrix Converter Under a Distorted AC Supply

    M. Rivera;J. Rodriguez;J. R. Espinoza;H. Abu-Rub

  • Predictive Torque Control of a Multidrive System Fed by a Dual Indirect Matrix Converter

    Miguel Lopez;Jose Rodriguez;Cesar Silva;Marco Rivera

Frequent Co-Authors

Patrick Wheeler
Patrick Wheeler University of Nottingham
Jose Rodriguez
Jose Rodriguez San Sebastián University
Jose Espinoza
Jose Espinoza University of Concepción
Bin Wu
Bin Wu Toronto Metropolitan University
Venkata Yaramasu
Venkata Yaramasu Northern Arizona University
Ruben Pena
Ruben Pena University of Concepción
Pericle Zanchetta
Pericle Zanchetta University of Nottingham
Johann W. Kolar
Johann W. Kolar ETH Zurich
Tomislav Dragicevic
Tomislav Dragicevic Technical University of Denmark
Jon Clare
Jon Clare University of Nottingham

External Links

Personal website of Marco Rivera Google Scholar page

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Related Online Degrees & Career Pathways

For students interested in Electronics and Electrical Engineering, exploring related fields can broaden career opportunities. Project management is a vital skill in engineering projects, and earning a degree in this area can complement technical expertise. You can find some of the best accelerated project management degree programs online designed to fast-track your education while gaining crucial leadership skills.

Many learners also consider a bachelor of project management to enhance their qualifications. Such degrees are tailored to build competencies in managing engineering teams, budgets, and timelines, making graduates more competitive in the job market.

For working adults balancing careers and studies, selecting from degree programs for working adults offers flexible schedules and formats. These programs allow professionals to continue advancing their education without disrupting their current roles.

Additionally, those interested in training and development within engineering firms might explore pathways through the best online master’s for teaching. This specialization can support careers in creating and delivering technical training programs for engineering teams.

Best Scientists Citing Marco Rivera

Jose Rodriguez

Jose Rodriguez

San Sebastián University

Publications: 84

Haitham Abu-Rub

Haitham Abu-Rub

Hamad bin Khalifa University

Publications: 50

Ralph Kennel

Ralph Kennel

Technical University of Munich

Publications: 41

Bin Wu

Bin Wu

Toronto Metropolitan University

Publications: 37

Patrick Wheeler

Patrick Wheeler

University of Nottingham

Publications: 37

Pericle Zanchetta

Pericle Zanchetta

University of Nottingham

Publications: 31

Kamal Al-Haddad

Kamal Al-Haddad

École de Technologie Supérieure

Publications: 30

Jose Espinoza

Jose Espinoza

University of Concepción

Publications: 26

Hong-Hee Lee

Hong-Hee Lee

University of Ulsan

Publications: 25

Ricardo P. Aguilera

Ricardo P. Aguilera

University of Technology Sydney

Publications: 25

Jianguo Zhu

Jianguo Zhu

University of Sydney

Publications: 21

Yongchang Zhang

Yongchang Zhang

North China Electric Power University

Publications: 21

Sanjeevikumar Padmanaban

Sanjeevikumar Padmanaban

University of South-Eastern Norway

Publications: 20

Saad Mekhilef

Saad Mekhilef

Swinburne University of Technology

Publications: 20

Venkata Yaramasu

Venkata Yaramasu

Northern Arizona University

Publications: 19

Frede Blaabjerg

Frede Blaabjerg

Aalborg University

Publications: 19

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