World's Best Scientists 2026 revealed!

D-Index & Metrics

Earth Science

D-Index
97
Citations
41230
World Ranking
156
National Ranking
17

Budiman Minasny publications per year

1999: 4 publications 2000: 3 publications 2001: 3 publications 2002: 7 publications 2003: 6 publications 2004: 6 publications 2005: 5 publications 2006: 15 publications 2007: 17 publications 2008: 17 publications 2009: 18 publications 2010: 23 publications 2011: 22 publications 2012: 26 publications 2013: 20 publications 2014: 57 publications 2015: 20 publications 2016: 25 publications 2017: 47 publications 2018: 48 publications 2019: 39 publications 2020: 46 publications 2021: 46 publications 2022: 43 publications 2023: 53 publications 2024: 45 publications 2025: 60 publications 2026: 4 publications
1999 2026

725 publications in total across all disciplines

Budiman Minasny publication distribution in Earth Science in 2027

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2027. The highlighted bar marks where Budiman Minasny sits on this spectrum.

38–47 publications: 5 scientists 48–57 publications: 33 scientists 58–67 publications: 94 scientists 68–77 publications: 161 scientists 78–87 publications: 278 scientists 88–97 publications: 376 scientists 98–107 publications: 404 scientists 108–117 publications: 484 scientists 118–127 publications: 540 scientists 128–137 publications: 557 scientists 138–147 publications: 491 scientists 148–157 publications: 495 scientists 158–167 publications: 458 scientists 168–177 publications: 490 scientists 178–187 publications: 414 scientists 188–197 publications: 401 scientists 198–207 publications: 333 scientists 208–217 publications: 292 scientists 218–227 publications: 290 scientists 228–237 publications: 262 scientists 238–247 publications: 243 scientists 248–257 publications: 208 scientists 258–267 publications: 185 scientists 268–277 publications: 147 scientists 278–287 publications: 128 scientists 288–297 publications: 119 scientists 298–307 publications: 120 scientists 308–317 publications: 107 scientists 318–327 publications: 93 scientists 328–337 publications: 87 scientists 338–347 publications: 64 scientists 348–357 publications: 87 scientists 358–367 publications: 60 scientists 368–377 publications: 60 scientists 378–387 publications: 34 scientists 388–397 publications: 50 scientists 398–407 publications: 44 scientists 408–417 publications: 31 scientists 418–427 publications: 39 scientists 428–437 publications: 27 scientists 438–447 publications: 36 scientists 448–457 publications: 27 scientists 458–467 publications: 29 scientists 468–477 publications: 30 scientists 478–487 publications: 19 scientists 488–497 publications: 15 scientists 498–507 publications: 18 scientists 508–517 publications: 19 scientists 518–527 publications: 16 scientists 528–537 publications: 10 scientists 538–547 publications: 11 scientists 548–557 publications: 14 scientists 558–567 publications: 11 scientists 568–577 publications: 7 scientists 578–587 publications: 14 scientists 588–597 publications: 5 scientists 598–602 publications: 4 scientists 603+ publications: 100 scientists
38 publications 603+

This scientist: 455 publications — 96th percentile

96% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 603 publications or more.

Budiman Minasny D-index placement in Earth Science in 2027

The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2027. The highlighted bar marks where Budiman Minasny sits on this spectrum.

30 D-Index: 144 scientists 31 D-Index: 215 scientists 32 D-Index: 278 scientists 33 D-Index: 379 scientists 34 D-Index: 366 scientists 35 D-Index: 372 scientists 36 D-Index: 389 scientists 37 D-Index: 366 scientists 38 D-Index: 344 scientists 39 D-Index: 349 scientists 40 D-Index: 296 scientists 41 D-Index: 289 scientists 42 D-Index: 277 scientists 43 D-Index: 279 scientists 44 D-Index: 248 scientists 45 D-Index: 257 scientists 46 D-Index: 212 scientists 47 D-Index: 202 scientists 48 D-Index: 207 scientists 49 D-Index: 204 scientists 50 D-Index: 183 scientists 51 D-Index: 178 scientists 52 D-Index: 182 scientists 53 D-Index: 178 scientists 54 D-Index: 163 scientists 55 D-Index: 117 scientists 56 D-Index: 163 scientists 57 D-Index: 120 scientists 58 D-Index: 113 scientists 59 D-Index: 136 scientists 60 D-Index: 135 scientists 61 D-Index: 96 scientists 62 D-Index: 103 scientists 63 D-Index: 83 scientists 64 D-Index: 103 scientists 65 D-Index: 83 scientists 66 D-Index: 89 scientists 67 D-Index: 92 scientists 68 D-Index: 89 scientists 69 D-Index: 78 scientists 70 D-Index: 75 scientists 71 D-Index: 53 scientists 72 D-Index: 62 scientists 73 D-Index: 54 scientists 74 D-Index: 35 scientists 75 D-Index: 52 scientists 76 D-Index: 50 scientists 77 D-Index: 32 scientists 78 D-Index: 37 scientists 79 D-Index: 20 scientists 80 D-Index: 33 scientists 81 D-Index: 36 scientists 82 D-Index: 34 scientists 83 D-Index: 34 scientists 84 D-Index: 24 scientists 85 D-Index: 19 scientists 86 D-Index: 18 scientists 87 D-Index: 26 scientists 88 D-Index: 30 scientists 89 D-Index: 17 scientists 90 D-Index: 21 scientists 91 D-Index: 19 scientists 92 D-Index: 15 scientists 93 D-Index: 14 scientists 94 D-Index: 20 scientists 95 D-Index: 9 scientists 96 D-Index: 10 scientists 97 D-Index: 15 scientists 98 D-Index: 13 scientists 99 D-Index: 3 scientists 100 D-Index: 13 scientists 101 D-Index: 3 scientists 102 D-Index: 9 scientists 103 D-Index: 4 scientists 104 D-Index: 6 scientists 105 D-Index: 6 scientists 106+ D-Index: 98 scientists
30 D-Index 106+

This scientist: 97 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 106 D-Index or more.

Overview

Budiman Minasny is affiliated with the University of Sydney in Australia and works primarily in the fields of Environmental Science and Agricultural and Biological Sciences. Their research spans several subfields, including Environmental Engineering, Soil Science, Ecology, Artificial Intelligence, and Civil and Structural Engineering.

The scientist's work covers various topics related to soils and environmental processes. These topics include:

  • Soil Geostatistics and Mapping
  • Soil Carbon and Nitrogen Dynamics
  • Geochemistry and Geologic Mapping
  • Soil and Unsaturated Flow
  • Soil Moisture and Remote Sensing
  • Soil erosion and sediment transport
  • Peatlands and Wetlands Ecology

Budiman Minasny has contributed to multiple recent publications, including:

  • Towards a global-scale soil climate mitigation strategy, 2020, Nature Communications
  • Machine learning for digital soil mapping: Applications, challenges and suggested solutions, 2020, Earth-Science Reviews
  • Digital mapping of GlobalSoilMap soil properties at a broad scale: A review, 2021, Geoderma
  • Machine learning and soil sciences: a review aided by machine learning tools, 2020, SOIL
  • Ensuring planetary survival: the centrality of organic carbon in balancing the multifunctional nature of soils, 2022, Critical Reviews in Environmental Science and Technology

The scientist frequently publishes in journals such as Geoderma, Soil Security, Geoderma Regional, European Journal of Soil Science, and CATENA.

Collaborations are a significant aspect of their work, with frequent co-authors including:

  • Alex B. McBratney
  • Alexandre M.J.-C. Wadoux
  • Brendan Malone
  • Wartini Ng
  • Mercedes Román Dobarco

Budiman Minasny is also an author of a book titled Soil Spectral Inference with R, published by Springer International Publishing in 2021. This publication has accumulated citations in academic literature, indicating engagement from the research community.

Best Publications

  • On digital soil mapping

    A.B McBratney;M.L Mendonça Santos;B Minasny

  • Soil carbon 4 per mille

    Budiman Minasny;Brendan P. Malone;Alex B. McBratney;Denis A. Angers

  • The knowns, known unknowns and unknowns of sequestration of soil organic carbon

    Uta Stockmann;Mark A. Adams;John W. Crawford;Damien J. Field

  • A conditioned Latin hypercube method for sampling in the presence of ancillary information

    Budiman Minasny;Alex B. McBratney

  • Modeling Soil Processes: Review, Key Challenges, and New Perspectives

    H. Vereecken;A. Schnepf;J. W. Hopmans;M. Javaux

  • Digital soil mapping: A brief history and some lessons

    Budiman Minasny;Alex.B. McBratney

  • Towards a global-scale soil climate mitigation strategy.

    W Amelung;W Amelung;D Bossio;W de Vries;I Kögel-Knabner

  • Digital Soil Map of the World

    Pedro A. Sanchez;Sonya Ahamed;Florence Carré;Alfred E. Hartemink

  • Mapping continuous depth functions of soil carbon storage and available water capacity

    Brendan Malone;Alexander McBratney;Budiman Minasny;G M Laslett

  • From pedotransfer functions to soil inference systems

    Alex B McBratney;Budiman Minasny;Stephen R Cattle;R.Willem Vervoort

  • Limited effect of organic matter on soil available water capacity

    B. Minasny;A. B. McBratney

  • Comparison of different approaches to the development of pedotransfer functions for water-retention curves

    Budiman Minasny;Alex B. McBratney;Keith L. Bristow

  • Machine learning for digital soil mapping: Applications, challenges and suggested solutions

    Alexandre M.J.-C. Wadoux;Budiman Minasny;Alex B. McBratney

  • Pedotransfer functions in Earth system science: challenges and perspectives

    Kris Van Looy;Johan Bouma;Michael Herbst;John Koestel

  • Digital mapping of soil carbon

    Budiman Minasny;Alex B. McBratney;Brendan P. Malone;Ichsani Wheeler

  • Colour space models for soil science

    R.A. Viscarra Rossel;B. Minasny;P. Roudier;P. Roudier;A.B. McBratney

  • Digital mapping of GlobalSoilMap soil properties at a broad scale: A review

    Songchao Chen;Dominique Arrouays;Vera Leatitia Mulder;Laura Poggio

  • GlobalSoilMap: Toward a Fine-Resolution Global Grid of Soil Properties

    Dominique Arrouays;Michael G. Grundy;Alfred E. Hartemink;Jonathan W. Hempel

  • Convolutional neural network for simultaneous prediction of several soil properties using visible/near-infrared, mid-infrared, and their combined spectra

    Wartini Ng;Budiman Minasny;Maryam Montazerolghaem;Jose Padarian

  • Using deep learning to predict soil properties from regional spectral data

    J. Padarian;B. Minasny;A.B. McBratney

  • Soil Security: Solving the Global Soil Crisis

    Andrea Koch;Alex McBratney;Mark Adams;Damien Field

  • The neuro-m method for fitting neural network parametric pedotransfer functions

    Budiman Minasny;Alex. B. McBratney

  • The Matérn function as a general model for soil variograms

    Budiman Minasny;Alex. B. McBratney

  • Removing the effect of soil moisture from NIR diffuse reflectance spectra for the prediction of soil organic carbon

    Budiman Minasny;Alex B. McBratney;Veronique Bellon-Maurel;Jean-Michel Roger

Frequent Co-Authors

Alex B. McBratney
Alex B. McBratney University of Sydney
Alfred E. Hartemink
Alfred E. Hartemink University of Wisconsin–Madison
Dominique Arrouays
Dominique Arrouays INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
John Triantafilis
John Triantafilis University of New South Wales
Mogens Humlekrog Greve
Mogens Humlekrog Greve Aarhus University
Christian Walter
Christian Walter Institut Agro, France
Inakwu O. A. Odeh
Inakwu O. A. Odeh University of Sydney
Denis A. Angers
Denis A. Angers Agriculture and Agriculture-Food Canada
Luca Montanarella
Luca Montanarella European Commission
Nicolas P.A. Saby
Nicolas P.A. Saby INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement

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