World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
76
Citations
19830
World Ranking
1210
National Ranking
37

Alfred Stein 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 Alfred Stein 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: 283 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: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 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 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 540 publications — 98th percentile

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

The last bar groups every scientist with 687 publications or more.

Alfred Stein 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 Alfred Stein 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: 199 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: 19 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: 99 scientists
30 D-Index 125+

This scientist: 76 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Alfred Stein is affiliated with the University of Twente in the Netherlands, contributing extensively to the field of Environmental Science. Their research spans multiple subfields, including Global and Planetary Change, Atmospheric Science, Environmental Engineering, Media Technology, and Aerospace Engineering.

Stein's scholarly output covers a range of main topics related to remote sensing and environmental analysis. These topics include:

  • Remote-Sensing Image Classification
  • Remote Sensing in Agriculture
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Land Use and Ecosystem Services
  • Remote Sensing and LiDAR Applications
  • Cryospheric studies and observations
  • Impact of Light on Environment and Health

The scientist has been published frequently in leading academic journals with high relevance to spatial data analysis and remote sensing. The most common publication venues are:

  • Spatial Statistics
  • International Journal of Applied Earth Observation and Geoinformation
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • Remote Sensing
  • SSRN Electronic Journal

Recent representative papers include:

  • "A review of image fusion techniques for pan-sharpening of high-resolution satellite imagery" (2020), published in ISPRS Journal of Photogrammetry and Remote Sensing
  • "Building outline delineation: From aerial images to polygons with an improved end-to-end learning framework" (2021), published in ISPRS Journal of Photogrammetry and Remote Sensing
  • "Field-level crop yield estimation with PRISMA and Sentinel-2" (2022), published in ISPRS Journal of Photogrammetry and Remote Sensing
  • "Causal inference from cross-sectional earth system data with geographical convergent cross mapping" (2023), published in Nature Communications
  • "Urban flood susceptibility mapping based on social media data in Chengdu city, China" (2022), published in Sustainable Cities and Society

Alfred Stein collaborates regularly with a group of frequent co-authors, which include:

  • Frank Osei
  • Mariana Belgiu
  • Ling Chang
  • Claudio Persello
  • Wufan Zhao

Best Publications

  • A generic framework for spatial prediction of soil variables based on regression-kriging

    Tomislav Hengl;Gerard B.M. Heuvelink;Alfred Stein

  • Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges

    Songnian Li;Suzana Dragicevic;Francesc Antón Castro;Monika Sester

  • Propagation of errors in spatial modelling with GIS.

    Gerard B. M. Heuvelink;Peter A. Burrough;Alfred Stein

  • Constrained optimisation of soil sampling for minimisation of the kriging variance

    J.W. van Groenigen;W. Siderius;A. Stein

  • A review of spatial sampling

    Jin Feng Wang;A. Stein;Bin Bo Gao;Yong Ge

  • An ontology of slums for image - based classification

    Divyani Kohli;Richard Sliuzas;Norman Kerle;Alfred Stein

  • Interpolation techniques for climate variables

    A.D. Hartkamp;K. De Beurs;A. Stein;J.W. White

  • Landslide susceptibility assessment using logistic regression and its comparison with a rock mass classification system, along a road section in the northern Himalayas (India)

    Iswar Das;Iswar Das;Sashikant Sahoo;Cees van Westen;Alfred Stein

  • Universal kriging and cokriging as a regression procedure.

    A. Stein;L.C.A. Corsten

  • Constrained Optimization of Spatial Sampling using Continuous Simulated Annealing

    J.W. van Groenigen;A. Stein

  • Geospatial Big Data Handling Theory and Methods: A Review and Research Challenges

    S. Li;S. Dragicevic;F. Anton;M. Sester

  • Urban social vulnerability assessment with physical proxies and spatial metrics derived from air- and spaceborne imagery and GIS data

    Annemarie Ebert;Norman Kerle;Alfred Stein

  • Spatial statistics for remote sensing

    A. Stein;F.D. van der Meer;B.G.H. Gorte

  • The solubility of aluminum in acidic forest soils: Long-term changes due to acid deposition

    Jan Mulder;Alfred Stein

  • Use of soil-map delineations to improve (Co-)kriging of point data on moisture deficits

    A. Stein;M. Hoogerwerf;J. Bouma

  • Statistics-based outlier detection for wireless sensor networks

    Y. Zhang;N. A. S. Hamm;N. Meratnia;A. Stein

  • Soil-landscape modelling using fuzzy c-means clustering of attribute data derived from a Digital Elevation Model (DEM)

    S. de Bruin;A. Stein

  • Validation of ETWatch using field measurements at diverse landscapes: A case study in Hai Basin of China

    Bingfang Wu;Nana Yan;Jun Xiong;W.G.M. Bastiaanssen

  • Soil sampling strategies for spatial prediction by correlation with auxiliary maps

    Tomislav Hengl;David G. Rossiter;Alfred Stein

  • A review of image fusion techniques for pan-sharpening of high-resolution satellite imagery

    Farzaneh Dadrass Javan;Farzaneh Dadrass Javan;Farhad Samadzadegan;Soroosh Mehravar;Ahmad Toosi

  • Quantification of the Effects of Land-Cover-Class Spectral Separability on the Accuracy of Markov-Random-Field-Based Superresolution Mapping

    V.A. Tolpekin;A. Stein

  • An overview of spatial sampling procedures and experimental design of spatial studies for ecosystem comparisons

    Alfred Stein;Christien Ettema

Frequent Co-Authors

Johan Bouma
Johan Bouma Wageningen University & Research
W. van der Werf
W. van der Werf Wageningen University & Research
Claudio Persello
Claudio Persello University of Twente
Arko Lucieer
Arko Lucieer University of Tasmania
Norman Kerle
Norman Kerle University of Twente
Gerard Hoek
Gerard Hoek Utrecht University
Martin J. Kropff
Martin J. Kropff International Maize and Wheat Improvement Center
Xiaoling Chen
Xiaoling Chen Wuhan University
Jan Willem van Groenigen
Jan Willem van Groenigen Wageningen University & Research
Arnold K. Bregt
Arnold K. Bregt Wageningen University & Research

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