World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
59
Citations
14897
World Ranking
3060
National Ranking
1191

David J. Mulla 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 David J. Mulla 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: 246 publications — 77th percentile

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

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

David J. Mulla 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 David J. Mulla 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: 59 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

David J. Mulla is affiliated with the University of Minnesota in the United States and specializes in research within Environmental Science and Agricultural and Biological Sciences. Their work spans numerous subfields including Ecology, Plant Science, Environmental Engineering, Soil Science, and Agronomy and Crop Science.

The scientist's research primarily focuses on topics related to Remote Sensing in Agriculture, Irrigation Practices and Water Management, Smart Agriculture and AI, Crop Yield and Soil Fertility, Soil and Water Nutrient Dynamics, Remote Sensing and LiDAR Applications, and Spectroscopy and Chemometric Analyses.

Recent notable papers authored or co-authored by David J. Mulla include:

  • Estimation of corn yield based on hyperspectral imagery and convolutional neural network, 2021, Computers and Electronics in Agriculture
  • The urgency of transforming the Midwestern U.S. landscape into more than corn and soybean, 2020, Agriculture and Human Values
  • The critical benefits of snowpack insulation and snowmelt for winter wheat productivity, 2022, Nature Climate Change
  • A Methodology for the Detection of Nitrogen Deficiency in Corn Fields Using High-Resolution RGB Imagery, 2020, IEEE Transactions on Automation Science and Engineering
  • Economic Optimal Nitrogen Rate Variability of Maize in Response to Soil and Weather Conditions: Implications for Site-Specific Nitrogen Management, 2020, Agronomy

The frequent co-authors collaborating with David J. Mulla include:

  • Fabián G. Fernández
  • Vipin Kumar
  • Rahul Ghosh
  • Muhammad Tahir
  • Kurt A. Spokas

Publication venues with multiple contributions from David J. Mulla encompass:

  • Remote Sensing
  • Agronomy
  • arXiv (Cornell University)
  • Journal of Environmental Quality
  • Arabian Journal of Geosciences

Best Publications

  • Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps

    David J. Mulla

  • Geostatistical tools for modeling and interpreting ecological spatial dependence

    Richard E. Rossi;David J. Mulla;Andre G. Journel;Eldon H. Franz

  • Nitrate nitrogen in surface waters as influenced by climatic conditions and agricultural practices.

    Gyles W. Randall;David J. Mulla

  • Soil spatial variability

    D. J. Mulla;Alex B. McBratney

  • Estimation of soil properties and wheat yields on complex eroded hills using geostatistics and thematic mapper images

    A.U Bhatti;D.J Mulla;B.E Frazier

  • Spatial and temporal variation in economically optimum nitrogen rate for corn

    M. Mamo;Gary L Malzer;D J Mulla;D. R. Huggins

  • Priority-flood: An optimal depression-filling and watershed-labeling algorithm for digital elevation models

    Richard Barnes;Clarence Lehman;David Mulla

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

    Said Nawar;Ronald Corstanje;Graham Halcro;David Mulla

  • A conceptual framework for assessment and management of soil quality and health.

    Robin F. Harris;Douglas L. Karlen;David J. Mulla

  • Streambank slumping and its contribution to the phosphorus and suspended sediment loads of the blue earth river, minnesota

    Adam C. Sekely;David J. Mulla;David W. Bauer

  • Soil sampling and interpolation techniques for mapping spatial variability of soil properties

    Nyle C. Wollenhaupt;David J. Mulla;Carol A. Gotway Crawford

  • A comparison of winter wheat yield and quality under uniform versus spatially variable fertilizer management

    D.J. Mulla;A.U. Bhatti;M.W. Hammond;J.A. Benson

  • Key processes and properties for site-specific soil and crop management.

    David J. Mulla;James S. Schepers

  • Analysis of urban growth and sprawl from remote sensing data: Case of Fez, Morocco

    Abdelkader El Garouani;David J. Mulla;Said El Garouani;Joseph Knight

  • Cadmium Accumulations and Bioavailability in Soils From Long-Term Phosphorus Fertilization

    D. J. Mulla;A. L. Page;T. J. Ganje

  • Aggregate Stability in the Palouse Region of Washington: Effect of Landscape Position

    F. B. Pierson;D. J. Mulla

  • Reduced nitrate leaching in a perennial grain crop compared to maize in the Upper Midwest, USA

    Jacob M. Jungers;Lee H. DeHaan;David J. Mulla;Craig C. Sheaffer

  • Identifying important factors influencing corn yield and grain quality variability using artificial neural networks

    Yuxin Miao;David J. Mulla;Pierre C. Robert

  • Mapping and managing spatial patterns in soil fertility and crop yield

    D.J. Mulla

  • Modeling Nitrate Nitrogen Leaching in Response to Nitrogen Fertilizer Rate and Tile Drain Depth or Spacing for Southern Minnesota, USA

    D. M. Davis;P. H. Gowda;D. J. Mulla;G. W. Randall

  • Combining chlorophyll meter readings and high spatial resolution remote sensing images for in-season site-specific nitrogen management of corn

    Yuxin Miao;David J. Mulla;Gyles W. Randall;Jeffrey A. Vetsch

  • Mathematical Models of Small Watershed Hydrology and Applications

    D.J. Mulla

Frequent Co-Authors

Prasanna H. Gowda
Prasanna H. Gowda United States Department of Agriculture
Yuxin Miao
Yuxin Miao University of Minnesota
Carl J. Rosen
Carl J. Rosen University of Minnesota
Patrick L. Brezonik
Patrick L. Brezonik University of Minnesota
Nikolaos Papanikolopoulos
Nikolaos Papanikolopoulos University of Minnesota
William C. Koskinen
William C. Koskinen University of Minnesota
John L. Nieber
John L. Nieber University of Minnesota
Wayne W. Carmichael
Wayne W. Carmichael Wright State University
Richard Lowrance
Richard Lowrance Agricultural Research Service
Rubem Silvério de Oliveira
Rubem Silvério de Oliveira State University of Maringa

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