World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
62
Citations
16536
World Ranking
8716
National Ranking
283

Maciej Haranczyk 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 Maciej Haranczyk 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: 174 publications — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Maciej Haranczyk 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 Maciej Haranczyk 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: 62 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Overview

Maciej Haranczyk is affiliated with the Madrid Institute for Advanced Studies in Spain. Their research primarily intersects materials science and engineering, with a focus on several subfields including materials chemistry, inorganic chemistry, computational theory and mathematics, electrical and electronic engineering, and polymers and plastics.

Their work spans multiple scientific topics, with a strong emphasis on machine learning applications within materials science. Key topics they have investigated include:

  • Machine Learning in Materials Science
  • Metal-Organic Frameworks: Synthesis and Applications
  • X-ray Diffraction in Crystallography
  • Computational Drug Discovery Methods
  • Additive Manufacturing and 3D Printing Technologies
  • Advancements in Battery Materials
  • Flame retardant materials and properties

Maciej Haranczyk has contributed to a number of peer-reviewed papers published in recognized venues, including journals and archives. Notable recent publications are:

  • Fast and Accurate Machine Learning Strategy for Calculating Partial Atomic Charges in Metal-Organic Frameworks, 2021, Journal of Chemical Theory and Computation
  • Flame retardant properties of metal hydroxide-based polymer composites: A machine learning approach, 2023, Composites Communications
  • Machine learning using host/guest energy histograms to predict adsorption in metal-organic frameworks: Application to short alkanes and Xe/Kr mixtures, 2021, The Journal of Chemical Physics
  • High-rate and ultralong-life Mg-Li hybrid batteries based on highly pseudocapacitive dual-phase TiO2 nanosheet cathodes, 2021, Journal of Power Sources
  • CoRE MOF DB: A curated experimental metal-organic framework database with machine-learned properties for integrated material-process screening, 2025, Matter

The scientist has collaborated frequently with colleagues such as De-Yi Wang, Christina Schenk, Randall Q. Snurr, Giulia Lo Dico, and Miguel Hernández-del-Valle. These collaborations suggest an active engagement in interdisciplinary efforts related to materials science and computational modeling.

Their publications have appeared regularly in venues including:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Digital Discovery
  • Computational Materials Science
  • SSRN Electronic Journal

Through this body of work, Maciej Haranczyk addresses diverse scientific challenges such as designing new materials via machine learning, exploring the properties of metal-organic frameworks, improving battery technologies, and understanding flame retardant polymer composites.

Best Publications

  • Algorithms and tools for high-throughput geometry-based analysis of crystalline porous materials

    Thomas F Willems;Chris Rycroft;Chris Rycroft;Michael Kazi;Michael Kazi;Juan Colin Meza

  • Correction: Corrigendum: Kinetically tuned dimensional augmentation as a versatile synthetic route towards robust metal–organic frameworks

    Dawei Feng;Kecheng Wang;Zhangwen Wei;Ying-Pin Chen

  • Advances, Updates, and Analytics for the Computation-Ready, Experimental Metal–Organic Framework Database: CoRE MOF 2019

    Yongchul G. Chung;Emmanuel Haldoupis;Benjamin J. Bucior;Maciej Haranczyk

  • Computation-Ready, Experimental Metal–Organic Frameworks: A Tool To Enable High-Throughput Screening of Nanoporous Crystals

    Yongchul G. Chung;Jeffrey Camp;Maciej Haranczyk;Benjamin J. Sikora

  • In silico screening of carbon-capture materials

    Li-Chiang Lin;Adam H. Berger;Richard L. Martin;Jihan Kim

  • Metal-organic framework with optimally selective xenon adsorption and separation.

    Debasis Banerjee;Cory M. Simon;Anna M. Plonka;Radha K. Motkuri

  • Kinetically tuned dimensional augmentation as a versatile synthetic route towards robust metal-organic frameworks

    Dawei Feng;Kecheng Wang;Zhangwen Wei;Ying-Pin Chen

  • The materials genome in action: identifying the performance limits for methane storage

    Cory M. Simon;Jihan Kim;Diego A. Gomez-Gualdron;Jeffrey S. Camp

  • Progress in ab initio QM/MM free-energy simulations of electrostatic energies in proteins: accelerated QM/MM studies of pKa, redox reactions and solvation free energies.

    Shina C. L. Kamerlin;Maciej Haranczyk;Arieh Warshel

  • pyIAST: Ideal adsorbed solution theory (IAST) Python package

    Cory M. Simon;Cory M. Simon;Berend Smit;Berend Smit;Maciej Haranczyk

  • An assessment of strategies for the development of solid-state adsorbents for vehicular hydrogen storage

    Mark D. Allendorf;Zeric Hulvey;Zeric Hulvey;Thomas Gennett;Thomas Gennett;Alauddin Ahmed

  • What Are the Best Materials To Separate a Xenon/Krypton Mixture?

    Cory M. Simon;Rocio Mercado;Sondre Kvalvåg Schnell;Berend Smit

  • Addressing challenges of identifying geometrically diverse sets of crystalline porous materials.

    Richard Luis Martin;Berend Smit;Maciej Haranczyk

  • Materials Genome in Action: Identifying the Performance Limits of Physical Hydrogen Storage

    Aaron William Thornton;Cory M. Simon;Jihan Kim;Ohmin Kwon

  • Xenon Gas Separation and Storage Using Metal-Organic Frameworks

    Debasis Banerjee;Cory M. Simon;Sameh K. Elsaidi;Maciej Haranczyk;Maciej Haranczyk

  • Capturing chemical intuition in synthesis of metal-organic frameworks

    Seyed Mohamad Moosavi;Arunraj Chidambaram;Leopold Talirz;Maciej Haranczyk

  • Accurate Characterization of the Pore Volume in Microporous Crystalline Materials.

    Daniele Ongari;Peter G. Boyd;Senja Barthel;Matthew Witman

  • Systematic Tuning and Multifunctionalization of Covalent Organic Polymers for Enhanced Carbon Capture

    Zhonghua Xiang;Rocio Mercado;Johanna M. Huck;Hui Wang

  • On the Flexibility of Metal–Organic Frameworks

    Lev Sarkisov;Richard L. Martin;Maciej Haranczyk;Berend Smit;Berend Smit

  • Evaluating different classes of porous materials for carbon capture

    Johanna M. Huck;Johanna M. Huck;Li-Chiang Lin;Adam H. Berger;Mahdi Niknam Shahrak

  • Identification Schemes for Metal-Organic Frameworks To Enable Rapid Search and Cheminformatics Analysis

    Benjamin J. Bucior;Andrew S. Rosen;Maciej Haranczyk;Zhenpeng Yao

Frequent Co-Authors

Berend Smit
Berend Smit École Polytechnique Fédérale de Lausanne
Maciej Gutowski
Maciej Gutowski Heriot-Watt University
Richard L. Martin
Richard L. Martin Los Alamos National Laboratory
Kit H. Bowen
Kit H. Bowen Johns Hopkins University
Mark Asta
Mark Asta University of California, Berkeley
Li-Chiang Lin
Li-Chiang Lin The Ohio State University
Randall Q. Snurr
Randall Q. Snurr Northwestern University
Jeffrey R. Long
Jeffrey R. Long Lawrence Berkeley National Laboratory
James A. Sethian
James A. Sethian University of California, Berkeley
Ben Slater
Ben Slater University College London

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