World's Best Scientists 2026 revealed!
Nick Van Helleputte

Nick Van Helleputte

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Electronics and Electrical Engineering 35 5632 5406 120 116 112 4380

Nick Van Helleputte publications per year

The chart shows the history of publications by Nick Van Helleputte between 2006 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Nick Van Helleputte published across 20 years, from 2006 to 2025, averaging 6.8 papers a year. Output peaked at 19 publications in 2019. 20 of the 135 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 2006 to 2025. Vertical axis: number of publications, 0 to 19. Peak 19 publications in 2019. 2006: 2 publications 2007: 2 publications 2008: 3 publications 2009: 3 publications 2010: 2 publications 2011: 4 publications 2012: 7 publications 2013: 0 publications 2014: 1 publication 2015: 1 publication 2016: 8 publications 2017: 8 publications 2018: 16 publications 2019: 19 publications 2020: 8 publications 2021: 10 publications 2022: 14 publications 2023: 7 publications 2024: 10 publications 2025: 10 publications
2006 2025

135 publications in total across all disciplines

View publications per year as a table
Nick Van Helleputte: publications per year, 2006 to 2025
Year Publications
2006 2
2007 2
2008 3
2009 3
2010 2
2011 4
2012 7
2013 0
2014 1
2015 1
2016 8
2017 8
2018 16
2019 19
2020 8
2021 10
2022 14
2023 7
2024 10
2025 10
Total 135
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Nick Van Helleputte 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 Nick Van Helleputte 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, 94–113 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: 112 publications — 6th percentile

6% 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
94–113 203 112
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
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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Nick Van Helleputte 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 Nick Van Helleputte 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, 35 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: 35 D-Index — 21st percentile

21% 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 35
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
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Overview

Nick Van Helleputte is affiliated with Imec in Belgium and has contributed extensively to research in engineering and medicine, with a strong focus on biomedical engineering and related subfields.

The main fields of study addressed by their work include:

  • Engineering
  • Medicine

The subfields in which they have published are:

  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Cardiology and Cardiovascular Medicine
  • Cellular and Molecular Neuroscience
  • Cognitive Neuroscience

The primary research topics covered in their publications include:

  • Non-Invasive Vital Sign Monitoring
  • Analog and Mixed-Signal Circuit Design
  • Neuroscience and Neural Engineering
  • ECG Monitoring and Analysis
  • Advanced Memory and Neural Computing
  • Heart Rate Variability and Autonomic Control
  • EEG and Brain-Computer Interfaces

Nick Van Helleputte has authored numerous research papers. Selected recent publications are:

  • A 119dB Dynamic Range Charge Counting Light-to-Digital Converter For Wearable PPG/NIRS Monitoring Applications, 2020, IEEE Transactions on Biomedical Circuits and Systems
  • Wearable Multiple Modality Bio-Signal Recording and Processing on Chip: A Review, 2020, IEEE Sensors Journal
  • Binary CorNET: Accelerator for HR Estimation From Wrist-PPG, 2020, IEEE Transactions on Biomedical Circuits and Systems
  • A 108 dB DR Δ∑-∑M Front-End With 720 mVpp Input Range and >±300 mV Offset Removal for Multi-Parameter Biopotential Recording, 2021, IEEE Transactions on Biomedical Circuits and Systems
  • A 134 DB Dynamic Range Noise Shaping Slope Light-to-Digital Converter for Wearable Chest PPG Applications, 2021, IEEE Transactions on Biomedical Circuits and Systems

Their collaborations include frequent coauthors such as:

  • Chris Van Hoof
  • Qiuyang Lin
  • Carolina Mora López
  • T.S. Fiez
  • A Greenberg

Nick Van Helleputte's work has appeared in several publication venues, with notable contributions to:

  • IEEE Journal of Solid-State Circuits
  • IEEE Transactions on Biomedical Circuits and Systems
  • IEEE Transactions on Circuits & Systems II Express Briefs
  • Innovation in Aging
  • IEEE Sensors Journal

Best Publications

  • CorNET: Deep Learning Framework for PPG-Based Heart Rate Estimation and Biometric Identification in Ambulant Environment

    Dwaipayan Biswas;Luke Everson;Muqing Liu;Madhuri Panwar

  • A 345 µW Multi-Sensor Biomedical SoC With Bio-Impedance, 3-Channel ECG, Motion Artifact Reduction, and Integrated DSP

    Nick Van Helleputte;Mario Konijnenburg;Julia Pettine;Dong-Woo Jee

  • A Configurable and Low-Power Mixed Signal SoC for Portable ECG Monitoring Applications

    Hyejung Kim;Sunyoung Kim;Nick Van Helleputte;Antonio Artes

  • Heart Rate Estimation From Wrist-Worn Photoplethysmography: A Review

    Dwaipayan Biswas;Neide Simoes-Capela;Chris Van Hoof;Nick Van Helleputte

  • A Neural Probe With Up to 966 Electrodes and Up to 384 Configurable Channels in 0.13 $\mu$m SOI CMOS

    Carolina Mora Lopez;Jan Putzeys;Bogdan Cristian Raducanu;Marco Ballini

  • Time Multiplexed Active Neural Probe with 1356 Parallel Recording Sites.

    Bogdan C. Raducanu;Refet Firat Yazicioglu;Carolina Mora Lopez;Marco Ballini

  • A 160μA biopotential acquisition ASIC with fully integrated IA and motion-artifact suppression

    Nick Van Helleputte;Sunyoung Kim;Hyejung Kim;Jong Pal Kim

  • A 160 $\mu{ m A}$ Biopotential Acquisition IC With Fully Integrated IA and Motion Artifact Suppression

    N. Van Helleputte;Sunyoung Kim;Hyejung Kim;Jong Pal Kim

  • Motion artifact reduction for wrist-worn photoplethysmograph sensors based on different wavelengths

    Yifan Zhang;Shuang Song;Rik Vullings;Dwaipayan Biswas

  • A configurable and low-power mixed signal SoC for portable ECG monitoring applications

    Hyejung Kim;Refet Firat Yazicioglu;Sunyoung Kim;Nick Van Helleputte

  • A 769 μW Battery-Powered Single-Chip SoC With BLE for Multi-Modal Vital Sign Monitoring Health Patches

    Shuang Song;Peter Vis;Chris van Liempd;Chris van Hoof

  • A Multi(bio)sensor Acquisition System With Integrated Processor, Power Management, $8 imes 8$ LED Drivers, and Simultaneously Synchronized ECG, BIO-Z, GSR, and Two PPG Readouts

    Mario Konijnenburg;Stefano Stanzione;Long Yan;Dong-Woo Jee

  • A Multimodal CMOS MEA for High-Throughput Intracellular Action Potential Measurements and Impedance Spectroscopy in Drug-Screening Applications

    Carolina Mora Lopez;Ho Sung Chun;Shiwei Wang;Laurent Berti

  • Correlation Between Electrode-Tissue Impedance and Motion Artifact in Biopotential Recordings

    D. Buxi;Sunyoung Kim;N. van Helleputte;M. Altini

  • A Reconfigurable, 130 nm CMOS 108 pJ/pulse, Fully Integrated IR-UWB Receiver for Communication and Precise Ranging

    N. Van Helleputte;M. Verhelst;W. Dehaene;G. Gielen

  • 18.3 A multi-parameter signal-acquisition SoC for connected personal health applications

    Nick Van Helleputte;Mario Konijnenburg;Hyejung Kim;Julia Pettine

  • A Compact Quad-Shank CMOS Neural Probe With 5,120 Addressable Recording Sites and 384 Fully Differential Parallel Channels

    Shiwei Wang;Carolina Mora Lopez;Seyed Kasra Garakoui;Hosung Chun

  • Neuropixels Data-Acquisition System: A Scalable Platform for Parallel Recording of 10 000+ Electrophysiological Signals

    Jan Putzeys;Silke Musa;Carolina Mora Lopez;Bogdan C. Raducanu

  • A flexible system-on-chip (SoC) for biomedical signal acquisition and processing

    N. Van Helleputte;J.M. Tomasik;W. Galjan;A. Mora-Sanchez

  • A 400 GΩ Input-Impedance Active Electrode for Non-Contact Capacitively Coupled ECG Acquisition With Large Linear-Input-Range and High CM-Interference-Tolerance

    Mingyi Chen;Ho Sung Chun;Ivan Dario Castro;Tom Torfs

  • A 119dB Dynamic Range Charge Counting Light-to-Digital Converter For Wearable PPG/NIRS Monitoring Applications

    Qiuyang Lin;Jiawei Xu;Shuang Song;Arjan Breeschoten

  • A 665 μW Silicon Photomultiplier-Based NIRS/EEG/EIT Monitoring ASIC for Wearable Functional Brain Imaging

    Jiawei Xu;Mario Konijnenburg;Shuang Song;Hyunsoo Ha

  • A reconfigurable, 0.13µm CMOS 110pJ/pulse, fully integrated IR-UWB receiver for communication and sub-cm ranging

    Marian Verhelst;Nick Van Helleputte;Georges Gielen;Wim Dehaene

Frequent Co-Authors

Refet Firat Yazicioglu
Refet Firat Yazicioglu Galvani Bioelectronics
Chris H. Kim
Chris H. Kim University of Minnesota
Robert Puers
Robert Puers KU Leuven
Wim Dehaene
Wim Dehaene KU Leuven
István Ulbert
István Ulbert Pázmány Péter Catholic University
Patrick Ruther
Patrick Ruther University of Freiburg

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