World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
41
Citations
6998
World Ranking
4291
National Ranking
1527

Dejan Markovic 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 Dejan Markovic sits on this spectrum.

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 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.

Dejan Markovic 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 Dejan Markovic sits on this spectrum.

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: 41 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 111 D-Index or more.

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to low-power VLSI signal processing and neurotechnology

Overview

Dejan Markovic is affiliated with the University of California, Los Angeles in the United States. Their research spans multiple domains within computer science and engineering, with significant emphasis on signal processing and biomedical engineering. Markovic's work frequently intersects with topics such as speech and audio processing, wireless power transfer systems, and neurological disorders and treatments.

The scientist has contributed to numerous publications in both journals and conferences. Their recent papers include the following:

  • A wearable platform for closed-loop stimulation and recording of single-neuron and local field potential activity in freely moving humans, 2023, published in Nature Neuroscience
  • A wearable platform for closed-loop stimulation and recording of single-neuron and local field potential activity in freely-moving humans, 2022, published in bioRxiv (Cold Spring Harbor Laboratory)
  • Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis, 2022, published at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Future directions in psychiatric neurosurgery: Proceedings of the 2022 American Society for Stereotactic and Functional Neurosurgery meeting on surgical neuromodulation for psychiatric disorders, 2023, published in Brain Stimulation
  • Analysis and Design of a Robust, Low-Power, Inductively Coupled LSK Data Link, 2020, published in IEEE Journal of Solid-State Circuits

Markovic frequently collaborates with a range of co-authors, including:

  • Alexander Richard (7 collaborations)
  • Steven Krenn (6 collaborations)
  • Israel D. Gebru (4 collaborations)
  • Alexander Richard (4 collaborations)
  • Nader Pouratian (3 collaborations)

Publication venues showcasing Markovic's research reflect multidisciplinary interests. These include:

  • arXiv (Cornell University) with 10 publications
  • Interspeech 2022 with 2 publications
  • IEEE Journal of Solid-State Circuits with 2 publications
  • Annals of Biomedical Engineering with 2 publications
  • Nature Neuroscience with 1 publication

The scientist's primary fields of study are computer science and engineering, with a particular focus on several subfields:

  • Signal Processing
  • Electrical and Electronic Engineering
  • Biomedical Engineering
  • Hardware and Architecture
  • Neurology

Main research topics associated with their work include:

  • Speech and Audio Processing
  • Music and Audio Processing
  • Energy Harvesting in Wireless Networks
  • Wireless Power Transfer Systems
  • Neurological Disorders and Treatments
  • Neuroscience and Neural Engineering
  • Wireless Body Area Networks

Markovic received the IEEE Fellow award in 2021 for contributions to low-power VLSI signal processing and neurotechnology.

Best Publications

  • Ultralow-Power Design in Near-Threshold Region

    D. Markovic;C.C. Wang;L.P. Alarcon;Tsung-Te Liu

  • SRAM leakage suppression by minimizing standby supply voltage

    Hulfang Qin;Yu Cao;D. Markovic;A. Vladimirescu

  • Methods for true energy-performance optimization

    D. Markovic;V. Stojanovic;B. Nikolic;M.A. Horowitz

  • Digital System Clocking: High-Performance and Low-Power Aspects

    Vojin G. Oklobdzija;Vladimir M. Stojanovic;Dejan M. Markovic;Nikola M. Nedovic

  • Spike Sorting: The First Step in Decoding the Brain: The first step in decoding the brain

    S. Gibson;J. W. Judy;D. Markovic

  • Digital PWM control: application in voltage regulation modules

    A.M. Wu;Jinwen Xiao;D. Markovic;S.R. Sanders

  • Demonstration of Integrated Micro-Electro-Mechanical Relay Circuits for VLSI Applications

    M Spencer;F Chen;Cheng C Wang;R Nathanael

  • A High Dynamic-Range Neural Recording Chopper Amplifier for Simultaneous Neural Recording and Stimulation

    Hariprasad Chandrakumar;Dejan Markovic

  • Analysis and design of low-energy flip-flops

    Dejan Markovic;Borivoje Nikolic;Robert Brodersen

  • Integrated circuit design with NEM relays

    Fred Chen;Hei Kam;Dejan Markovic;Tsu-Jae King Liu

  • An 80-mVpp Linear-Input Range, 1.6- $ ext{G}\Omega $ Input Impedance, Low-Power Chopper Amplifier for Closed-Loop Neural Recording That Is Tolerant to 650-mVpp Common-Mode Interference

    Hariprasad Chandrakumar;Dejan Markovic

  • Power and Area Minimization of Reconfigurable FFT Processors: A 3GPP-LTE Example

    Chia-Hsiang Yang;Tsung-Han Yu;D. Markovic

  • Comparison of spike-sorting algorithms for future hardware implementation

    Sarah Gibson;Jack W. Judy;Dejan Markovic

  • A ±50-mV Linear-Input-Range VCO-Based Neural-Recording Front-End With Digital Nonlinearity Correction

    Wenlong Jiang;Vahagn Hokhikyan;Hariprasad Chandrakumar;Vaibhav Karkare

  • Methods for true power minimization

    Robert W. Brodersen;Mark A. Horowitz;Dejan Markovic;Borivoje Nikolic

  • A 75-µW, 16-Channel Neural Spike-Sorting Processor With Unsupervised Clustering

    Vaibhav Karkare;Sarah Gibson;Dejan Markovic

  • A design environment for high throughput, low power dedicated signal processing systems

    W.R. Davis;N. Zhang;K. Camera;D. Markovic

  • Design, Optimization, and Scaling of MEM Relays for Ultra-Low-Power Digital Logic

    Hei Kam;Tsu-Jae King Liu;V Stojanović;D Marković

  • Voltage-induced switching of nanoscale magnetic tunnel junctions

    J. G. Alzate;P. Khalili Amiri;P. Upadhyaya;S. S. Cherepov

  • A 130- $\mu$ W, 64-Channel Neural Spike-Sorting DSP Chip

    V Karkare;S Gibson;Dejan Marković

  • A 15.2-ENOB 5-kHz BW 4.5- $\mu$ W Chopped CT $\Delta\Sigma$ -ADC for Artifact-Tolerant Neural Recording Front Ends

    Hariprasad Chandrakumar;Dejan Markovic

Frequent Co-Authors

Robert W. Brodersen
Robert W. Brodersen University of California, Berkeley
Vladimir Stojanovic
Vladimir Stojanovic University of California, Berkeley
Borivoje Nikolic
Borivoje Nikolic University of California, Berkeley
Marina Soković
Marina Soković University of Belgrade
Jack W. Judy
Jack W. Judy University of Florida
Danijela Cabric
Danijela Cabric University of California, Los Angeles
Vojin G. Oklobdzija
Vojin G. Oklobdzija University of California, Davis
Asad A. Abidi
Asad A. Abidi University of California, Los Angeles
Elad Alon
Elad Alon University of California, Berkeley
Kang L. Wang
Kang L. Wang University of California, Los Angeles

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