World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
7394
World Ranking
9329
National Ranking
58

David J. Weir 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 David J. Weir sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 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: 117 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: 59 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: 127 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

David J. Weir 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 David J. Weir sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 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: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 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: 94 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: 24 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: 33 D-Index — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Overview

David J. Weir is affiliated with the Helsinki Institute of Physics in Finland. Their research primarily focuses on the field of Physics and Astronomy, with significant contributions in subfields such as Astronomy and Astrophysics, Nuclear and High Energy Physics, Atomic and Molecular Physics and Optics, Condensed Matter Physics, and Oceanography.

The main topics addressed by their research include Cosmology and Gravitation Theories, Pulsars and Gravitational Waves Research, Particle Physics theoretical and experimental studies, Black Holes and Theoretical Physics, Geophysics and Gravity Measurements, nanoparticles nucleation surface interactions, and Cold Atom Physics and Bose-Einstein Condensates.

Some of their recent publications are as follows:

  • Detecting gravitational waves from cosmological phase transitions with LISA: an update (2020), Journal of Cosmology and Astroparticle Physics
  • Vorticity, Kinetic Energy, and Suppressed Gravitational-Wave Production in Strong First-Order Phase Transitions (2020), Physical Review Letters
  • Gravitational waves from vacuum first-order phase transitions. II. From thin to thick walls (2021), Physical review. D/Physical review. D.
  • Erratum: Shape of the acoustic gravitational wave power spectrum from a first order phase transition [Phys. Rev. D 96, 103520 (2017)] (2020), Physical review. D/Physical review. D.
  • Detection of early-universe gravitational-wave signatures and fundamental physics (2022), General Relativity and Gravitation

David J. Weir frequently collaborates with several co-authors, including:

  • Kari Rummukainen
  • Mark Hindmarsh
  • Oliver Gould
  • Lauri Niemi
  • Riikka Seppä

Their research has been published in multiple scientific venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Physical review. D/Physical review. D.
  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Cosmology and Astroparticle Physics
  • Physical Review Letters

Best Publications

  • Numerical simulations of acoustically generated gravitational waves at a first order phase transition

    Mark Hindmarsh;Mark Hindmarsh;Stephan J. Huber;Kari Rummukainen;David J. Weir

  • Gravitational waves from the sound of a first order phase transition

    Mark Hindmarsh;Mark Hindmarsh;Stephan J. Huber;Kari Rummukainen;David J. Weir

  • The Convergence of Mildly Context-Sensitive Grammar Formalisms

    Aravind Joshi;K. Vijay-Shanker;David Weir

  • Shape of the acoustic gravitational wave power spectrum from a first order phase transition

    Mark Hindmarsh;Mark Hindmarsh;Stephan J. Huber;Kari Rummukainen;David J. Weir

  • Characterising measures of lexical distributional similarity

    Julie Weeds;David Weir;Diana McCarthy

  • CHARACTERIZING STRUCTURAL DESCRIPTIONS PRODUCED BY VARIOUS GRAMMATICAL FORMALISMS

    K. Vijay-Shanker;David J. Weir;Aravind K. Joshi

  • The equivalence of four extensions of context-free grammars

    K. Vijay-Shanker;D. J. Weir

  • Cross-Domain Sentiment Classification Using a Sentiment Sensitive Thesaurus

    D. Bollegala;D. Weir;J. Carroll

  • Gravitational waves from vacuum first-order phase transitions: From the envelope to the lattice

    Daniel Cutting;Daniel Cutting;Mark Hindmarsh;David J. Weir

  • Co-occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity

    Julie Weeds;David Weir

  • Learning to Distinguish Hypernyms and Co-Hyponyms

    Julie Weeds;Daoud Clarke;Jeremy Reffin;David Weir

  • Class-based probability estimation using a semantic hierarchy

    Stephen Clark;David Weir

  • Vorticity, kinetic energy, and suppressed gravitational wave production in strong first order phase transitions

    Daniel Cutting;Daniel Cutting;Mark Hindmarsh;Mark Hindmarsh;David J. Weir;David J. Weir

  • Variational matrix product ansatz for dispersion relations

    Jutho Haegeman;Bogdan Pirvu;David J. Weir;J. Ignacio Cirac

  • Using Multiple Sources to Construct a Sentiment Sensitive Thesaurus for Cross-Domain Sentiment Classification

    Danushka Bollegala;David Weir;John Carroll

  • A general framework for distributional similarity

    Julie Weeds;David Weir

  • Gravitational waves from vacuum first-order phase transitions. II. From thin to thick walls

    Daniel Cutting;Elba Granados Escartin;Mark Hindmarsh;Mark Hindmarsh;David J. Weir;David J. Weir

  • Parsing some constrained grammar formalisms

    K. Vijay-Shanker;David J. Weir

  • D-Tree Grammars

    Owen Rambow;K. Vijay-Shanker;David Weir

  • Revisiting the envelope approximation: Gravitational waves from bubble collisions

    David J. Weir

  • A geometric hierarchy beyond context-free languages

    David J. Weir

  • POLYNOMIAL TIME PARSING OF COMBINATORY CATEGORIAL GRAMMARS

    K. Vijay-Shanker;David J. Weir

  • D-tree substitution grammars

    Owen Rambow;David Weir;K. Vijay-Shanker

Frequent Co-Authors

K. Vijay-Shanker
K. Vijay-Shanker University of Delaware
John M. Carroll
John M. Carroll University of Sussex
Aravind K. Joshi
Aravind K. Joshi University of Pennsylvania
Michael J. Ramsey-Musolf
Michael J. Ramsey-Musolf University of Massachusetts Amherst
Carl M. Bender
Carl M. Bender Washington University in St. Louis
Owen Rambow
Owen Rambow Stony Brook University
Stephen Clark
Stephen Clark Cambridge Quantum Computing
Danushka Bollegala
Danushka Bollegala University of Liverpool
Diana McCarthy
Diana McCarthy University of Cambridge
Maura Conway
Maura Conway Dublin City University

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