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John Triantafilis

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Earth Science 45 4570 4208 235 221 159 5737

John Triantafilis publications per year

The chart shows the history of publications by John Triantafilis between 1992 and 2024, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. John Triantafilis published across 33 years, from 1992 to 2024, averaging 5.2 papers a year. Output peaked at 22 publications in 2017. 9 of the 172 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 1992 to 2024. Vertical axis: number of publications, 0 to 22. Peak 22 publications in 2017. 1992: 1 publication 1993: 1 publication 1994: 0 publications 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 2 publications 1999: 0 publications 2000: 2 publications 2001: 6 publications 2002: 1 publication 2003: 3 publications 2004: 4 publications 2005: 1 publication 2006: 0 publications 2007: 0 publications 2008: 0 publications 2009: 5 publications 2010: 4 publications 2011: 9 publications 2012: 6 publications 2013: 8 publications 2014: 8 publications 2015: 10 publications 2016: 11 publications 2017: 22 publications 2018: 16 publications 2019: 12 publications 2020: 12 publications 2021: 12 publications 2022: 7 publications 2023: 5 publications 2024: 4 publications
1992 2024

172 publications in total across all disciplines

View publications per year as a table
John Triantafilis: publications per year, 1992 to 2024
Year Publications
1992 1
1993 1
1994 0
1995 0
1996 0
1997 0
1998 2
1999 0
2000 2
2001 6
2002 1
2003 3
2004 4
2005 1
2006 0
2007 0
2008 0
2009 5
2010 4
2011 9
2012 6
2013 8
2014 8
2015 10
2016 11
2017 22
2018 16
2019 12
2020 12
2021 12
2022 7
2023 5
2024 4
Total 172
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John Triantafilis publication distribution in Earth Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where John Triantafilis sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 58 bars. Horizontal axis: publications, 38–47 to 603+. Vertical axis: number of scientists, 0 to 557. Most scientists, 557, have 128–137 publications. The last bar groups every scientist with 603 publications or more. The highlighted bar, 158–167 publications, is where this scientist sits. 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
38–47 publications 603+

This scientist: 159 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Earth Science scientists by publication count, Research.com 2026 ranking edition. Based on 9,176 ranked scientists.
Publications Scientists This scientist
38–47 5
48–57 33
58–67 94
68–77 161
78–87 278
88–97 376
98–107 404
108–117 484
118–127 540
128–137 557
138–147 491
148–157 495
158–167 458 159
168–177 490
178–187 414
188–197 401
198–207 333
208–217 292
218–227 290
228–237 262
238–247 243
248–257 208
258–267 185
268–277 147
278–287 128
288–297 119
298–307 120
308–317 107
318–327 93
328–337 87
338–347 64
348–357 87
358–367 60
368–377 60
378–387 34
388–397 50
398–407 44
408–417 31
418–427 39
428–437 27
438–447 36
448–457 27
458–467 29
468–477 30
478–487 19
488–497 15
498–507 18
508–517 19
518–527 16
528–537 10
538–547 11
548–557 14
558–567 11
568–577 7
578–587 14
588–597 5
598–602 4
603+ 100
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John Triantafilis D-index placement in Earth Science in 2026

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

No. of scientists
100 200 300
Bar chart with 77 bars. Horizontal axis: D-Index, 30 to 106+. Vertical axis: number of scientists, 0 to 389. Most scientists, 389, have 36 D-Index. The last bar groups every scientist with 106 D-Index or more. The highlighted bar, 45 D-Index, is where this scientist sits. 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: 45 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Earth Science scientists by D-index, Research.com 2026 ranking edition. Based on 9,176 ranked scientists.
D-Index Scientists This scientist
30 144
31 215
32 278
33 379
34 366
35 372
36 389
37 366
38 344
39 349
40 296
41 289
42 277
43 279
44 248
45 257 45
46 212
47 202
48 207
49 204
50 183
51 178
52 182
53 178
54 163
55 117
56 163
57 120
58 113
59 136
60 135
61 96
62 103
63 83
64 103
65 83
66 89
67 92
68 89
69 78
70 75
71 53
72 62
73 54
74 35
75 52
76 50
77 32
78 37
79 20
80 33
81 36
82 34
83 34
84 24
85 19
86 18
87 26
88 30
89 17
90 21
91 19
92 15
93 14
94 20
95 9
96 10
97 15
98 13
99 3
100 13
101 3
102 9
103 4
104 6
105 6
106+ 98
Download as CSV

Overview

John Triantafilis is affiliated with the University of New South Wales in Australia and works primarily within the fields of Environmental Science and Engineering. Their research encompasses several subfields, notably Environmental Engineering, Soil Science, Artificial Intelligence, Civil and Structural Engineering, and Geophysics.

The main topics addressed in their work include:

  • Soil Geostatistics and Mapping
  • Geochemistry and Geologic Mapping
  • Soil and Unsaturated Flow
  • Geophysical and Geoelectrical Methods
  • Soil Moisture and Remote Sensing
  • Soil Carbon and Nitrogen Dynamics
  • Mineral Processing and Grinding

John Triantafilis has contributed to numerous papers focusing on soil properties and environmental variables using spectroscopy and remote sensing techniques. Some recent publications are:

  • "Predicting soil physical and chemical properties using vis-NIR in Australian cotton areas", 2020, CATENA
  • "Soil exchangeable cations estimation using Vis-NIR spectroscopy in different depths: Effects of multiple calibration models and spiking", 2021, Computers and Electronics in Agriculture
  • "Using environmental variables and Fourier Transform Infrared Spectroscopy to predict soil organic carbon", 2021, CATENA
  • "Clay content mapping and uncertainty estimation using weighted model averaging", 2021, CATENA
  • "Digital soil mapping and assessment for Australia and beyond: A propitious future", 2021, Geoderma Regional

The scientist frequently publishes in the following venues:

  • CATENA
  • Geoderma Regional
  • Computers and Electronics in Agriculture
  • Agricultural Water Management
  • Geoderma

John Triantafilis collaborates with a network of co-authors with whom multiple joint publications have been produced. Frequent co-authors include:

  • Dongxue Zhao
  • Jie Wang
  • Ehsan Zare
  • Xueyu Zhao
  • Maryem Arshad

Best Publications

  • Five Geostatistical Models to Predict Soil Salinity from Electromagnetic Induction Data Across Irrigated Cotton

    J. Triantafilis;I.O.A. Odeh;A.B. McBratney

  • Mapping clay content variation using electromagnetic induction techniques

    J. Triantafilis;S. M. Lesch

  • Calibrating an Electromagnetic Induction Instrument to Measure Salinity in Soil under Irrigated Cotton

    J. Triantafilis;G. M. Laslett;A. B. McBratney

  • Mapping water table depth using geophysical and environmental variables.

    S. Buchanan;J. Triantafilis

  • Comparing data mining classifiers to predict spatial distribution of USDA-family soil groups in Baneh region, Iran

    R. Taghizadeh-Mehrjardi;K. Nabiollahi;B. Minasny;J. Triantafilis

  • Spatial prediction of soil particle-size fractions as compositional data

    Inakwu O. A. Odeh;Alison J. Todd;John Triantafilis

  • COMPARISON OF STATISTICAL PREDICTION METHODS FOR ESTIMATING FIELD-SCALE CLAY CONTENT USING DIFFERENT COMBINATIONS OF ANCILLARY VARIABLES

    J. Triantafilis;A. I. Huckel;I. O. A. Odeh

  • Mapping the three-dimensional variation of soil salinity in a rice-paddy soil

    H.Y. Li;H.Y. Li;Z. Shi;R. Webster;J. Triantafilis

  • Creation and Interpolation of Continuous Soil Layer Classes in the Lower Namoi Valley

    J. Triantafilis;W.T. Ward;I.O.A. Odeh;A.B. McBratney

  • Field level digital soil mapping of cation exchange capacity using electromagnetic induction and a hierarchical spatial regression model

    John Triantafilis;Scott Mitchell Lesch;Kevin La Lau;Sam Mostyn Buchanan

  • A spatially constrained 1D inversion algorithm for quasi-3D conductivity imaging: Application to DUALEM-421 data collected in a riverine plain

    Fernando Acácio Monteiro Santos;John Triantafilis;Kira Bruzgulis

  • Electromagnetic Conductivity Imaging (emci) of Soil using a DUALEM-421 and Inversion Modelling Software (EM4Soil)

    J. Triantafilis;F.A. Monteiro Santos

  • Prediction of soil salinity and sodicity using electromagnetic conductivity imaging

    Ana Marta Paz;Nádia Castanheira;Mohammad Farzamian;Maria Catarina Paz

  • Predicting soil physical and chemical properties using vis-NIR in Australian cotton areas

    Dongxue Zhao;Maryem Arshad;Nan Li;John Triantafilis

  • Application of a mobile electromagnetic sensing system (MESS) to assess cause and management of soil salinization in an irrigated cotton‐growing field

    J. Triantafilis;M.F. Ahmed;I.O.A. Odeh

  • Soil exchangeable cations estimation using Vis-NIR spectroscopy in different depths: Effects of multiple calibration models and spiking

    Dongxue Zhao;Maryem Arshad;Jie Wang;John Triantafilis

  • Using environmental variables and Fourier Transform Infrared Spectroscopy to predict soil organic carbon

    Maryam Ghebleh Goydaragh;Maryam Ghebleh Goydaragh;Ruhollah Taghizadeh-Mehrjardi;Ali Asghar Jafarzadeh;John Triantafilis

  • Land suitability assessment in the Namoi Valley of Australia, using a continuous model

    J. Triantafilis;W. T. Ward;A. B. McBratney

  • Resolving the spatial distribution of the true electrical conductivity with depth using EM38 and EM31 signal data and a laterally constrained inversion model

    J. Triantafilis;F. A. Monteiro Santos

  • An inversion approach to generate electromagnetic conductivity images from signal data

    J. Triantafilis;C. H. Terhune;F. A. Monteiro Santos

  • Mapping of salinity risk in the lower Namoi valley using non-linear kriging methods

    J. Triantafilis;I.O.A. Odeh;B. Warr;M.F. Ahmed

  • Digital soil mapping and assessment for Australia and beyond: A propitious future

    Ross Searle;Alexander McBratney;Mike Grundy;Darren Kidd

  • Inversion of multiconfiguration electromagnetic (DUALEM-421) profiling data using a one-dimensional laterally constrained algorithm.

    F. A. Monteiro Santos;J. Triantafilis;K. E. Bruzgulis;J. A. E. Roe

  • Field-scale assessment of deep drainage risk

    J. Triantafilis;A. Huckel;I. Odeh

Frequent Co-Authors

Alex B. McBratney
Alex B. McBratney University of Sydney
Inakwu O. A. Odeh
Inakwu O. A. Odeh University of Sydney
Budiman Minasny
Budiman Minasny University of Sydney
Dennis L. Corwin
Dennis L. Corwin Agricultural Research Service
Scott G Johnston
Scott G Johnston Southern Cross University
Mark R. Thomas
Mark R. Thomas Commonwealth Scientific and Industrial Research Organisation
Zhou Shi
Zhou Shi Zhejiang University
Edward G. Barrett-Lennard
Edward G. Barrett-Lennard University of Western Australia
Dominique Arrouays
Dominique Arrouays INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Mogens Humlekrog Greve
Mogens Humlekrog Greve Aarhus University

External Links

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