World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
5445
World Ranking
8959
National Ranking
2500

Alyosha Molnar publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Alyosha Molnar sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 150 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Alyosha Molnar D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Alyosha Molnar sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 35 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Alyosha Molnar is affiliated with Cornell University in the United States and has contributed extensively to the field of Engineering, with a focus on Electrical and Electronic Engineering. Their research spans 54 publications, with significant interests in subfields such as Cellular and Molecular Neuroscience, Biomedical Engineering, Mechanical Engineering, and Cognitive Neuroscience.

The scientist's work concentrates on topics including Radio Frequency Integrated Circuit Design, Photonic and Optical Devices, Molecular Communication and Nanonetworks, Neuroscience and Neural Engineering, Full-Duplex Wireless Communications, Insect and Arachnid Ecology and Behavior, and Microwave Engineering and Waveguides.

Key publication venues where Alyosha Molnar has frequently published include:

  • arXiv (Cornell University)
  • 2022 IEEE International Symposium on Circuits and Systems (ISCAS)
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Journal of Solid-State Circuits
  • IEEE Transactions on Electron Devices

The following is a selection of notable recent papers authored or coauthored by Alyosha Molnar:

  • Prospects for Wide Bandgap and Ultrawide Bandgap CMOS Devices, 2020, IEEE Transactions on Electron Devices
  • Cilia metasurfaces for electronically programmable microfluidic manipulation, 2022, Nature
  • Microscopic sensors using optical wireless integrated circuits, 2020, Proceedings of the National Academy of Sciences
  • Microscopic robots with onboard digital control, 2022, Science Robotics
  • Injectable wireless microdevices: challenges and opportunities, 2021, Bioelectronic Medicine

Frequent collaborators of Alyosha Molnar include:

  • Alejandro J. Cortese
  • Paul L. McEuen
  • Sunwoo Lee
  • Shahaboddin Ghajari
  • Sanaz Sadeghi

Best Publications

  • A Passive Mixer-First Receiver With Digitally Controlled and Widely Tunable RF Interface

    Caroline Andrews;Alyosha C Molnar

  • Implications of Passive Mixer Transparency for Impedance Matching and Noise Figure in Passive Mixer-First Receivers

    Caroline Andrews;Alyosha C Molnar

  • Low-power 2.4-GHz transceiver with passive RX front-end and 400-mV supply

    Ben W. Cook;Axel Berny;Alyosha Molnar;Steven Lanzisera

  • Low-Power 2.4-GHz Transceiver With Passive RX Front-End and 400-mV Supply

    B.W. Cook;A. Berny;A. Molnar;S. Lanzisera

  • A single-chip quad-band (850/900/1800/1900 MHz) direct conversion GSM/GPRS RF transceiver with integrated VCOs and fractional-n synthesizer

    A. Molnar;R. Magoon;G. Hatcher;J. Zachan

  • Monolithic Schottky-collector resonant tunnel diode oscillator arrays to 650 GHz

    M. Reddy;S.C. Martin;A.C. Molnar;R.E. Muller

  • The In-Crowd Algorithm for Fast Basis Pursuit Denoising

    P. R. Gill;Albert Wang;Alyosha Molnar

  • Parallel processing in retinal ganglion cells: how integration of space-time patterns of excitation and inhibition form the spiking output.

    Botond Roska;Alyosha Molnar;Frank S. Werblin

  • An ultra-low power 900 MHz RF transceiver for wireless sensor networks

    A. Molnar;B. Lu;S. Lanzisera;B.W. Cook

  • Cilia metasurfaces for electronically programmable microfluidic manipulation

    Unknown

  • Optimized Design of N-Phase Passive Mixer-First Receivers in Wideband Operation

    Dong Yang;Caroline Andrews;Alyosha Molnar

  • Prospects for Wide Bandgap and Ultrawide Bandgap CMOS Devices

    Samuel James Bader;Hyunjea Lee;Reet Chaudhuri;Shimin Huang

  • A Wideband Highly Integrated and Widely Tunable Transceiver for In-Band Full-Duplex Communication

    Dong Yang;Hazal Yuksel;Alyosha Molnar

  • Light field image sensors based on the Talbot effect

    Albert Wang;Patrick Gill;Alyosha Molnar

  • An Ultra-Low Power 2.4GHz RF Transceiver for Wireless Sensor Networks in 0.13/spl mu/m CMOS with 400mV Supply and an Integrated Passive RX Front-End

    B.W. Cook;A.D. Berny;A. Molnar;S. Lanzisera

  • Neuromorphic event-driven neural computing architecture in a scalable neural network

    Filipp Akopyan;John V. Arthur;Rajit Manohar;Paul A. Merolla

  • A passive-mixer-first receiver with baseband-controlled RF impedance matching, ≪ 6dB NF, and ≫ 27dBm wideband IIP3

    Caroline Andrews;Alyosha C Molnar

  • Light field image sensor, method and applications

    Alyosha Molnar;Albert Wang

  • Inhibitory feedback shapes bipolar cell responses in the rabbit retina.

    Alyosha Molnar;Frank Werblin

  • Microscopic robots with onboard digital control

    Unknown

  • Crossover inhibition in the retina: circuitry that compensates for nonlinear rectifying synaptic transmission

    Alyosha C. Molnar;Hain-Ann Hsueh;Botond M. Roska;Frank S. Werblin

  • ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks Using Angle Sensitive Pixels

    Huaijin G. Chen;Suren Jayasuriya;Jiyue Yang;Judy Stephen

  • Interference reduction for direct conversion receivers

    Geoffrey Hatcher;Alyosha C. Molnar;Rahul Magoon

  • A Light-Field Image Sensor in 180 nm CMOS

    Albert Wang;Alyosha Molnar

  • IEEE 2004 CUSTOM INTEGRATED CIRCUITS CONFERENCE An Ultra-low Power 900 MHz RF Transceiver for Wireless Sensor Networks

    Alyosha Molnar;Benson Lu;Steven Lanzisera;Ben W. Cook

Frequent Co-Authors

Paul L. McEuen
Paul L. McEuen Cornell University
Kristofer S. J. Pister
Kristofer S. J. Pister University of California, Berkeley
Ashok Veeraraghavan
Ashok Veeraraghavan Rice University
Thomas A. Cleland
Thomas A. Cleland Cornell University
Huili Grace Xing
Huili Grace Xing Cornell University
Debdeep Jena
Debdeep Jena Cornell University
Mark J. W. Rodwell
Mark J. W. Rodwell University of California, Santa Barbara
James Hone
James Hone Columbia University
Giuseppe Durisi
Giuseppe Durisi Chalmers University of Technology

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