World's Best Scientists 2026 revealed!
Tucker Carrington

Tucker Carrington

D-Index & Metrics

Chemistry

D-Index
70
Citations
15619
World Ranking
5935
National Ranking
150

Tucker Carrington publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Tucker Carrington sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 306 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Tucker Carrington D-index placement in Chemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Chemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Tucker Carrington sits on this spectrum.

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 70 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Research.com Recognitions

  • 2007 - Fellow of American Physical Society (APS) Citation For the development and application of new iterative tools for solving the timeindependent Schrödinger equation

Overview

Tucker Carrington is affiliated with Queen's University in Canada and has a research focus that spans physics, chemistry, and related interdisciplinary fields. Their work primarily addresses atomic and molecular physics, optics, and spectroscopy, with significant contributions to computational methods in chemical physics.

Their research covers various key topics including advanced chemical physics studies, spectroscopy and laser applications, spectroscopy and quantum chemical studies, advanced NMR techniques and applications, atmospheric ozone and climate, machine learning in materials science, and broader scientific research and discoveries.

The scientist has published extensively in several notable venues. Frequent publication outlets include:

  • The Journal of Chemical Physics
  • Physical Chemistry Chemical Physics
  • Journal of Molecular Spectroscopy
  • arXiv (Cornell University)
  • Chemical Reviews

Their notable recent papers include:

  • Using collocation to study the vibrational dynamics of molecules, 2020, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy
  • A rectangular collocation multi-configuration time-dependent Hartree (MCTDH) approach with time-independent points for calculations on general potential energy surfaces, 2021, The Journal of Chemical Physics
  • Computing excited OH stretch states of water dimer in 12D using contracted intermolecular and intramolecular basis functions, 2023, The Journal of Chemical Physics
  • Neural Network Potential Energy Surfaces for Small Molecules and Reactions, 2020, Chemical Reviews
  • Roadmap on Machine learning in electronic structure, 2022, Electronic Structure

The scientist has collaborated frequently with several researchers, including:

  • Xiaogang Wang
  • Sergei Manzhos
  • Manabu Ihara
  • Robert Wodraszka
  • Sangeeth Das Kallullathil

Their work has intersected multiple disciplines, reflecting a strong integration of theoretical and computational approaches to solving problems related to molecular vibrations, potential energy surfaces, and applications of machine learning in electronic structure calculations.

Tucker Carrington was recognized with the Fellow of American Physical Society (APS) award in 2007. The citation for this award highlighted their development and application of new iterative tools for solving the time-independent Schrödinger equation.

Best Publications

  • Discrete‐Variable Representations and their Utilization

    John C. Light;Tucker Carrington

  • Variational quantum approaches for computing vibrational energies of polyatomic molecules

    Joel M Bowman;Tucker Carrington;Hans-Dieter Meyer

  • A general discrete variable method to calculate vibrational energy levels of three‐ and four‐atom molecules

    Matthew J. Bramley;Tucker Carrington

  • The discrete variable representation of a triatomic Hamiltonian in bond length–bond angle coordinates

    Hua Wei;Tucker Carrington

  • Neural Network Potential Energy Surfaces for Small Molecules and Reactions

    Sergei Manzhos;Tucker Carrington

  • Reaction surface description of intramolecular hydrogen atom transfer in malonaldehyde

    Tucker Carrington;William H. Miller

  • A random-sampling high dimensional model representation neural network for building potential energy surfaces.

    Sergei Manzhos;Tucker Carrington

  • Angular Momentum Distribution and Emission Spectrum of OH (2Σ+) in the Photodissociation of H2O

    Tucker Carrington

  • Fermi resonances and local modes in water, hydrogen sulfide, and hydrogen selenide

    Lauri Halonen;Tucker Carrington

  • Efficient calculation of highly excited vibrational energy levels of floppy molecules: The band origins of H+3 up to 35 000 cm−1

    Matthew J. Bramley;John W. Tromp;Tucker Carrington;Gregory C. Corey

  • Neural networks vs Gaussian process regression for representing potential energy surfaces: A comparative study of fit quality and vibrational spectrum accuracy

    Aditya Kamath;Rodrigo A. Vargas-Hernández;Roman V. Krems;Tucker Carrington

  • Neural network‐based approaches for building high dimensional and quantum dynamics‐friendly potential energy surfaces

    Sergei Manzhos;Richard Dawes;Tucker Carrington

  • A nested molecule-independent neural network approach for high-quality potential fits.

    Sergei Manzhos;Xiaogang Wang;Richard Dawes;Tucker Carrington

  • Vibrational energy levels of CH5(

    Xiao-Gang Wang;Tucker Carrington

  • Vinylidene: Potential energy surface and unimolecular reaction dynamics

    Tucker Carrington;Lynn M. Hubbard;Henry F. Schaefer;William H. Miller

  • A contracted basis-Lanczos calculation of vibrational levels of methane: Solving the Schrödinger equation in nine dimensions

    Xiao-Gang Wang;Tucker Carrington

  • Using neural networks to represent potential surfaces as sums of products.

    Sergei Manzhos;Tucker Carrington

  • Rotational, Vibrational, and Electronic Energy Transfer in the Fluorescence of Nitric Oxide

    H. P. Broida;Tucker Carrington

  • Using nonproduct quadrature grids to solve the vibrational Schrödinger equation in 12D.

    Gustavo Avila;Tucker Carrington

  • Using a pruned basis, a non-product quadrature grid, and the exact Watson normal-coordinate kinetic energy operator to solve the vibrational Schrödinger equation for C2H4.

    Gustavo Avila;Tucker Carrington

  • Reaction Surface Description of Intramolecular Hydrogen Atom Transfer in Malonaldehyde

    T. Jun. Carrington;W. H. Miller

Frequent Co-Authors

Koichi Yamashita
Koichi Yamashita University of Tokyo
Hua Guo
Hua Guo University of New Mexico
R. Benny Gerber
R. Benny Gerber Hebrew University of Jerusalem
A. R. W. McKellar
A. R. W. McKellar National Academies of Sciences, Engineering, and Medicine
Martin Quack
Martin Quack ETH Zurich
Norman Davidson
Norman Davidson California Institute of Technology
Henry F. Schaefer
Henry F. Schaefer University of Georgia
Francesco Paesani
Francesco Paesani University of California, San Diego
Hans Lischka
Hans Lischka Texas Tech University
Oleg V. Prezhdo
Oleg V. Prezhdo University of Southern California

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