World's Best Scientists 2026 revealed!
Neil Gershenfeld

Neil Gershenfeld

D-Index & Metrics

Engineering and Technology

D-Index
52
Citations
20316
World Ranking
3530
National Ranking
1036

Neil Gershenfeld 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 Neil Gershenfeld 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: 182 publications — 41st percentile

41% of scientists in this discipline score the same or lower.

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

Neil Gershenfeld 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 Neil Gershenfeld 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: 52 D-Index — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2020 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2007 - Fellow of American Physical Society (APS) Citation For significant contributions ranging from quantum computing to advanced technologies for global development and for leadership in bringing science out of the laboratory and into the real world

Overview

Neil Gershenfeld is affiliated with MIT in the United States and conducts research primarily in the field of Engineering. Their work encompasses several subfields including Mechanical Engineering, Biomedical Engineering, Molecular Biology, Aerospace Engineering, and Materials Chemistry.

The scientist's research focuses on a range of topics, with notable emphasis on Modular Robots and Swarm Intelligence, Advanced Materials and Mechanics, Diamond and Carbon-based Materials Research, Evolution and Genetic Dynamics, Gene Regulatory Network Analysis, Single-cell and Spatial Transcriptomics, as well as Soft Robotics and Applications.

Recent papers authored or co-authored by Neil Gershenfeld include:

  • Microfluidic electrochemistry for single-electron transfer redox-neutral reactions (2020, Science)
  • Discretely assembled mechanical metamaterials (2020, Science Advances)
  • Genetic requirements for cell division in a genomically minimal cell (2021, Cell)
  • The role of Micro-CT in imaging breast cancer specimens (2020, Breast Cancer Research and Treatment)
  • Self-replicating hierarchical modular robotic swarms (2022, Communications Engineering)

Frequent collaborators include Filippos Tourlomousis, Patritsia Maria Stathatou, David Preiss, Benjamin Jenett, and Alfonso Parra Rubio.

The scientist has published multiple works in prominent venues such as the Journal of Magnetic Resonance, Advanced Science, bioRxiv (Cold Spring Harbor Laboratory), IEEE Transactions on Applied Superconductivity, and arXiv (Cornell University).

Neil Gershenfeld has received recognitions including:

  • Fellow of the American Association for the Advancement of Science (AAAS) in 2020
  • Fellow of the American Physical Society (APS) in 2007, with a citation noting contributions ranging from quantum computing to advanced technologies for global development and leadership in applying science beyond the laboratory

Best Publications

  • Bulk Spin-Resonance Quantum Computation

    Neil A. Gershenfeld;Isaac L. Chuang

  • FAB: The Coming Revolution on Your Desktop--from Personal Computers to Personal Fabrication

    Neil Gershenfeld

  • The nature of mathematical modeling

    Neil Gershenfeld

  • Parasitic power harvesting in shoes

    J. Kymissis;C. Kendall;J. Paradiso;N. Gershenfeld

  • Experimental Implementation of Fast Quantum Searching

    Isaac L. Chuang;Neil Gershenfeld;Mark Kubinec

  • E-broidery: design and fabrication of textile-based computing

    E. R. Post;M. Orth;P. R. Russo;N. Gershenfeld

  • Microfluidic Bubble Logic

    Manu Prakash;Neil Gershenfeld

  • When Things Start to Think

    Neil Gershenfeld

  • Bulk quantum computation with nuclear magnetic resonance: theory and experiment

    I. L. Chuang;N. Gershenfeld;M. G. Kubinec;D. W. Leung

  • Applying electric field sensing to human-computer interfaces

    Thomas G. Zimmerman;Joshua R. Smith;Joseph A. Paradiso;David Allport

  • Time series prediction: Forecasting the future and understanding the past: Neil A. Gershenfeld and Andreas S. Weigend, 1994, ‘The future of time series’, in: A.S. Weigend and N.A. Gershenfeld, eds., (Addison-Wesley, Reading, MA), 1-70.

    Chris Chatfield;Andreas S. Weigend

  • SEA: a scalable encryption algorithm for small embedded applications

    François-Xavier Standaert;Gilles Piret;Neil Gershenfeld;Jean-Jacques Quisquater

  • Reversibly Assembled Cellular Composite Materials

    Kenneth C. Cheung;Neil Gershenfeld

  • Method and device for transmitting power and information through human body

    Nivi Babak;Remi Post E;Gershenfeld Neal;イー・レーミ・ポスト

  • Microfluidic electrochemistry for single-electron transfer redox-neutral reactions.

    Yiming Mo;Zhaohong Lu;Girish Rughoobur;Prashant Patil

  • MIT-Media Lab

    Neil Gershenfeld

  • Digital Morphing Wing: Active Wing Shaping Concept Using Composite Lattice-Based Cellular Structures

    Benjamin Jenett;Sam Calisch;Daniel Cellucci;Nick Cramer

  • Electrically active resonant structures for wireless monitoring and control

    Neil Gershenfeld;Richard Fletcher

  • Musical Applications of Electric Field Sensing

    Joseph A. Paradiso;Neil Gershenfeld

  • Electric field sensing for graphical interfaces

    J. Smith;T. White;C. Dodge;J. Paradiso

  • The Internet of things.

    Neil Gershenfeld;Raffi Krikorian;Danny Cohen

  • SEA: A scalable encryption algorithm for small embedded applications

    François-Xavier Standaert;Jean-Jacques Quisquater;G. Piret;N Gershenfeld

Frequent Co-Authors

Joshua R. Smith
Joshua R. Smith University of Washington
John I. Glass
John I. Glass J. Craig Venter Institute
Benjamin Recht
Benjamin Recht University of California, Berkeley
Matthew S. Reynolds
Matthew S. Reynolds University of Washington
Thomas J. Deerinck
Thomas J. Deerinck University of California, San Diego
Mark H. Ellisman
Mark H. Ellisman University of California, San Diego
François-Xavier Standaert
François-Xavier Standaert Université Catholique de Louvain

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