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Roman Genov

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 34 5766 5535 256 239 184 5312

Roman Genov publications per year

The chart shows the history of publications by Roman Genov between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Roman Genov published across 27 years, from 1999 to 2025, averaging 8.9 papers a year. Output peaked at 33 publications in 2023. 24 of the 240 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 33. Peak 33 publications in 2023. 1999: 2 publications 2000: 1 publication 2001: 5 publications 2002: 6 publications 2003: 5 publications 2004: 2 publications 2005: 5 publications 2006: 9 publications 2007: 6 publications 2008: 2 publications 2009: 8 publications 2010: 6 publications 2011: 8 publications 2012: 10 publications 2013: 13 publications 2014: 7 publications 2015: 7 publications 2016: 10 publications 2017: 13 publications 2018: 8 publications 2019: 7 publications 2020: 8 publications 2021: 9 publications 2022: 26 publications 2023: 33 publications 2024: 15 publications 2025: 9 publications
1999 2025

240 publications in total across all disciplines

View publications per year as a table
Roman Genov: publications per year, 1999 to 2025
Year Publications
1999 2
2000 1
2001 5
2002 6
2003 5
2004 2
2005 5
2006 9
2007 6
2008 2
2009 8
2010 6
2011 8
2012 10
2013 13
2014 7
2015 7
2016 10
2017 13
2018 8
2019 7
2020 8
2021 9
2022 26
2023 33
2024 15
2025 9
Total 240
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Roman Genov 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 Roman Genov 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, 174–193 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: 184 publications — 24th percentile

24% 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
174–193 445 184
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
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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Roman Genov 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 Roman Genov 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, 34 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: 34 D-Index — 18th percentile

18% 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 34
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
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

Roman Genov is affiliated with the University of Toronto in Canada, specializing in engineering and neuroscience research. Their work primarily spans electrical and electronic engineering, cellular and molecular neuroscience, cognitive neuroscience, biomedical engineering, and hardware and architecture.

The scientist's research topics encompass:

  • Advanced Memory and Neural Computing
  • Neuroscience and Neural Engineering
  • EEG and Brain-Computer Interfaces
  • Ferroelectric and Negative Capacitance Devices
  • CCD and CMOS Imaging Sensors
  • Neural dynamics and brain function
  • Analog and Mixed-Signal Circuit Design

Selected recent publications include:

  • In-Memory Vector-Matrix Multiplication in Monolithic Complementary Metal-Oxide-Semiconductor-Memristor Integrated Circuits: Design Choices, Challenges, and Perspectives, 2020, Advanced Intelligent Systems
  • Track-and-Zoom Neural Analog-to-Digital Converter With Blind Stimulation Artifact Rejection, 2020, IEEE Journal of Solid-State Circuits
  • Bidirectional Peripheral Nerve Interface With 64 Second-Order Opamp-Less ΔΣ ADCs and Fully Integrated Wireless Power/Data Transmission, 2021, IEEE Journal of Solid-State Circuits
  • Opamp-Less Sub-μW/Channel Δ-Modulated Neural-ADC With Super-GΩ Input Impedance, 2020, IEEE Journal of Solid-State Circuits
  • Spike sorting algorithms and their efficient hardware implementation: a comprehensive survey, 2023, Journal of Neural Engineering

Frequent co-authors in their publications include:

  • Amirali Amirsoleimani
  • Mostafa Rahimi Azghadi
  • Corey Lammie
  • José Zariffa
  • Mohammad Abdolrazzaghi

Roman Genov has published extensively in venues such as:

  • IEEE Transactions on Biomedical Circuits and Systems
  • arXiv (Cornell University)
  • IEEE Journal of Solid-State Circuits
  • 2022 IEEE International Symposium on Circuits and Systems (ISCAS)
  • bioRxiv (Cold Spring Harbor Laboratory)

Their research includes contributions to the design and implementation of neural interfaces, analog-to-digital converters, and computational hardware for neural engineering applications. The work often integrates principles of advanced memory and neural computing with circuit design and neuroscience, focusing on both theoretical and practical challenges.

Best Publications

  • IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS—II: EXPRESS BRIEFS

    Yong Lian;Mohamad Sawan;Chacko John Deepu

  • The 128-Channel Fully Differential Digital Integrated Neural Recording and Stimulation Interface

    Farzaneh Shahrokhi;Karim Abdelhalim;Demitre Serletis;Peter L Carlen

  • Bit-pragmatic deep neural network computing

    Jorge Albericio;Alberto Delmas;Patrick Judd;Sayeh Sharify

  • 256-Channel Neural Recording and Delta Compression Microsystem With 3D Electrodes

    J.N.Y. Aziz;K. Abdelhalim;R. Shulyzki;R. Genov

  • In-Memory Vector-Matrix Multiplication in Monolithic Complementary Metal–Oxide–Semiconductor-Memristor Integrated Circuits: Design Choices, Challenges, and Perspectives

    Amirali Amirsoleimani;Fabien Alibart;Fabien Alibart;Fabien Alibart;Victor Yon;Victor Yon;Jianxiong Xu

  • CMOS Electrochemical Instrumentation for Biosensor Microsystems: A Review

    Haitao Li;Xiaowen Liu;Lin Li;Xiaoyi Mu

  • Kerneltron: support vector "machine" in silicon

    R. Genov;G. Cauwenberghs

  • Rail-to-Rail-Input Dual-Radio 64-Channel Closed-Loop Neurostimulator

    Hossein Kassiri;Muhammad Tariqus Salam;Mohammad Reza Pazhouhandeh;Nima Soltani

  • 64-Channel UWB Wireless Neural Vector Analyzer SOC With a Closed-Loop Phase Synchrony-Triggered Neurostimulator

    Karim Abdelhalim;Hamed Mazhab Jafari;Larysa Kokarovtseva;Jose Luis Perez Velazquez

  • 16-Channel CMOS Impedance Spectroscopy DNA Analyzer With Dual-Slope Multiplying ADCs

    H. Jafari;L. Soleymani;R. Genov

  • Low-Frequency Noise and Offset Rejection in DC-Coupled Neural Amplifiers: A Review and Digitally-Assisted Design Tutorial.

    Arezu Bagheri;Muhammad Tariqus Salam;Jose Luis Perez Velazquez;Roman Genov

  • Closed-Loop Neurostimulators: A Survey and A Seizure-Predicting Design Example for Intractable Epilepsy Treatment

    Hossein Kassiri;Sana Tonekaboni;M. Tariqus Salam;Nima Soltani

  • Battery-less Tri-band-Radio Neuro-monitor and Responsive Neurostimulator for Diagnostics and Treatment of Neurological Disorders

    Hossein Kassiri;Arezu Bagheri;Nima Soltani;Karim Abdelhalim

  • 320-Channel Active Probe for High-Resolution Neuromonitoring and Responsive Neurostimulation

    Ruslana Shulyzki;Karim Abdelhalim;Arezu Bagheri;M. Tariqus Salam

  • 16-Channel Integrated Potentiostat for Distributed Neurochemical Sensing

    R. Genov;M. Stanacevic;M. Naware;G. Cauwenberghs

  • CMOS Neurotransmitter Microarray: 96-Channel Integrated Potentiostat With On-Die Microsensors

    M. H. Nazari;H. Mazhab-Jafari;Lian Leng;A. Guenther

  • A CMOS/Thin-Film Fluorescence Contact Imaging Microsystem for DNA Analysis

    Ritu Raj Singh;Derek Ho;Alireza Nilchi;Glenn Gulak

  • Charge-mode parallel architecture for vector-matrix multiplication

    R. Genov;G. Cauwenberghs

  • Chopper-Stabilized Bidirectional Current Acquisition Circuits for Electrochemical Amperometric Biosensors

    Hamed Mazhab Jafari;Roman Genov

  • 915-MHz FSK/OOK Wireless Neural Recording SoC With 64 Mixed-Signal FIR Filters

    Karim Abdelhalim;Larysa Kokarovtseva;Jose Luis Perez Velazquez;Roman Genov

  • Focal-Plane Algorithmically-Multiplying CMOS Computational Image Sensor

    A. Nilchi;J. Aziz;R. Genov

  • NURIP: Neural Interface Processor for Brain-State Classification and Programmable-Waveform Neurostimulation

    Gerard O'Leary;David M. Groppe;Taufik A. Valiante;Naveen Verma

Frequent Co-Authors

Gert Cauwenberghs
Gert Cauwenberghs University of California, San Diego
Peter L. Carlen
Peter L. Carlen University Health Network
Jose Luis Perez Velazquez
Jose Luis Perez Velazquez University of Toronto
Kiriakos N. Kutulakos
Kiriakos N. Kutulakos University of Toronto
Ulrich J. Krull
Ulrich J. Krull University of Toronto
Magdy M. A. Salama
Magdy M. A. Salama University of Waterloo
Maysam Ghovanloo
Maysam Ghovanloo Silicon Creations Inc.
Stark C. Draper
Stark C. Draper University of Toronto
Raafat R. Mansour
Raafat R. Mansour University of Waterloo
Naveen Verma
Naveen Verma Princeton University

External Links

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Related Online Degrees & Career Pathways

For students pursuing Electronics and Electrical Engineering, exploring related online degrees can open diverse career opportunities. One popular option is the bachelor of project management online, which equips graduates with skills to lead and manage technical projects effectively, a vital asset in engineering sectors.

Many professionals balance work and study by choosing accelerated online bachelor degree programs accredited. These programs offer flexibility and allow students to complete their degrees faster without compromising quality or recognition.

The growing field of instructional design complements engineering education by focusing on creating effective learning experiences. Pursuing an instructional design degree online can lead to careers in educational technology and training development within technical industries.

Additionally, competency based programs provide a practical, skills-focused approach to learning. These programs assess mastery rather than time spent in class, making them ideal for students seeking personalized learning paths aligned with their career goals.

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