World's Best Scientists 2026 revealed!
Abdul Mounem Mouazen

Abdul Mounem Mouazen

D-Index & Metrics

Environmental Sciences

D-Index
64
Citations
15266
World Ranking
2319
National Ranking
37

Abdul Mounem Mouazen publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Abdul Mounem Mouazen sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 282 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–689 publications: 4 scientists 690+ publications: 100 scientists
41 publications 690+

This scientist: 261 publications — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

Abdul Mounem Mouazen D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Abdul Mounem Mouazen sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 198 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 20 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125 D-Index: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 64 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

Overview

Abdul Mounem Mouazen is affiliated with Ghent University in Belgium. Their research primarily intersects environmental science and agricultural and biological sciences, with a significant focus on various aspects of soil science and related subfields.

Their work explores key topics such as:

  • Soil Geostatistics and Mapping
  • Spectroscopy and Chemometric Analyses
  • Geochemistry and Geologic Mapping
  • Remote Sensing in Agriculture
  • Soil Carbon and Nitrogen Dynamics
  • Crop Yield and Soil Fertility
  • Soil Moisture and Remote Sensing

The scientist has authored numerous publications in prominent journals, frequently contributing to:

  • Soil and Tillage Research
  • Computers and Electronics in Agriculture
  • Remote Sensing
  • Precision Agriculture
  • SSRN Electronic Journal

Among their recent research papers are:

  • "Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon: Feature selection coupled with random forest" (2020, Soil and Tillage Research)
  • "Exploring the potential of airborne hyperspectral image for estimating topsoil organic carbon: Effects of fractional-order derivative and optimal band combination algorithm" (2020, Geoderma)
  • "Fusion of Vis-NIR and XRF spectra for estimation of key soil attributes" (2020, Geoderma)
  • "A combined data mining approach for on-line prediction of key soil quality indicators by Vis-NIR spectroscopy" (2020, Soil and Tillage Research)
  • "Machine Learning Based On-Line Prediction of Soil Organic Carbon after Removal of Soil Moisture Effect" (2020, Remote Sensing)

Mouazen has collaborated regularly with the following co-authors:

  • Muhammad Abdul Munnaf
  • Muhammad Qaswar
  • Angela Guerrero
  • Yongsheng Hong
  • Yiyun Chen

Their work extends to the publication of books, including one titled "Agricultural Internet of Things and Decision Support for Precision Smart Farming" (2020), published by Elsevier BV.

Their research contributions encompass a number of subfields within environmental engineering, plant science, analytical chemistry, ecology, and soil science, with a total of 165 related publications in environmental science and 115 in agricultural and biological sciences.

Best Publications

  • Visible and Near Infrared Spectroscopy in Soil Science

    Bo Stenberg;Raphael A. Viscarra Rossel;Abdul Mounem Mouazen;Johanna Wetterlind

  • Wheat yield prediction using machine learning and advanced sensing techniques

    X.E. Pantazi;D. Moshou;T. Alexandridis;R.L. Whetton

  • Potential for Onsite and Online Analysis of Pig Manure using Visible and Near Infrared Reflectance Spectroscopy

    Wouter Saeys;Abdul Mounem Mouazen;Herman Ramon

  • Comparison among principal component, partial least squares and back propagation neural network analyses for accuracy of measurement of selected soil properties with visible and near infrared spectroscopy

    A.M. Mouazen;B. Kuang;J. De Baerdemaeker;H. Ramon

  • Machine learning based prediction of soil total nitrogen, organic carbon and moisture content by using VIS-NIR spectroscopy

    Antonios Morellos;Xanthoula-Eirini Pantazi;Dimitrios Moshou;Thomas Alexandridis

  • On-line measurement of some selected soil properties using a VIS–NIR sensor

    A.M. Mouazen;M.R. Maleki;J. De Baerdemaeker;H. Ramon

  • Towards development of on-line soil moisture content sensor using a fibre-type NIR spectrophotometer

    Abdul Mounem Mouazen;Abdul Mounem Mouazen;Josse De Baerdemaeker;Herman Ramon

  • Estimating the soil clay content and organic matter by means of different calibration methods of vis-NIR diffuse reflectance spectroscopy

    Said Nawar;Said Nawar;Henning Buddenbaum;Joachim Hill;Jacek Kozak

  • Sensing soil properties in the laboratory, in situ, and on-Line: A review

    B. Kuang;H.S. Mahmood;Z. Quraishi;W.B. Hoogmoed

  • Delineation of Soil Management Zones for Variable-Rate Fertilization: A Review

    Said Nawar;Ronald Corstanje;Graham Halcro;David Mulla

  • Calibration of visible and near infrared spectroscopy for soil analysis at the field scale on three European farms

    B. Kuang;A. M. Mouazen

  • Comparison between Random Forests, Artificial Neural Networks and Gradient Boosted Machines Methods of On-Line Vis-NIR Spectroscopy Measurements of Soil Total Nitrogen and Total Carbon

    Said Nawar;Abdul M Mouazen

  • Characterization of Soil Water Content Using Measured Visible and Near Infrared Spectra

    A. M. Mouazen;R. Karoui;J. De Baerdemaeker;H. Ramon

  • Multiplicative Scatter Correction during On-line Measurement with Near Infrared Spectroscopy

    Unknown

  • Comparison between artificial neural network and partial least squares for on-line visible and near infrared spectroscopy measurement of soil organic carbon, pH and clay content

    Boyan Kuang;Yucel Tekin;Abdul M. Mouazen

  • Predictive performance of mobile vis-near infrared spectroscopy for key soil properties at different geographical scales by using spiking and data mining techniques

    Said Nawar;Abdul Mounem Mouazen;Abdul Mounem Mouazen

  • On-line vis-NIR spectroscopy prediction of soil organic carbon using machine learning

    Said Nawar;Abdul Mouazen

  • Modelling soil-sweep interaction with discrete element method

    Kornél Tamás;István J. Jóri;Abdul M. Mouazen

  • On-the-go variable-rate phosphorus fertilisation based on a visible and near-infrared soil sensor

    Unknown

  • Management zones based on correlation between soil compaction, yield and crop data

    E. Vrindts;A.M. Mouazen;M. Reyniers;K. Maertens

  • Phosphorus Sensing for Fresh Soils using Visible and Near Infrared Spectroscopy

    M.R. Maleki;L. Van Holm;H. Ramon;R. Merckx

  • Rapid prediction of total petroleum hydrocarbons concentration in contaminated soil using vis-NIR spectroscopy and regression techniques

    RK Douglas;Said Nawar;MC Alamar;Abdul Mouazen;Abdul Mouazen

  • Quantitative analysis of soil nitrogen and carbon at a farm scale using visible and near infrared spectroscopy coupled with wavelength reduction

    H. Yang;B. Kuang;A. M. Mouazen

  • Development of on-line measurement system of bulk density based on on-line measured draught, depth and soil moisture content

    Abdul Mounem Mouazen;Herman Ramon

Frequent Co-Authors

Herman Ramon
Herman Ramon KU Leuven
Dimitrios Moshou
Dimitrios Moshou Aristotle University of Thessaloniki
Frederic Coulon
Frederic Coulon Cranfield University
Wouter Saeys
Wouter Saeys KU Leuven
Eric Dufour
Eric Dufour INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Lembe Samukelo Magwaza
Lembe Samukelo Magwaza Cranfield University
Leon A. Terry
Leon A. Terry Cranfield University
César Guerrero
César Guerrero Miguel Hernandez University
Umezuruike Linus Opara
Umezuruike Linus Opara Stellenbosch University
Geert Haesaert
Geert Haesaert Ghent University

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