World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
44
Citations
7573
World Ranking
6730
National Ranking
2404

Mutlu Ozdogan 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 Mutlu Ozdogan 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: 91 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Mutlu Ozdogan 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 Mutlu Ozdogan 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: 44 D-Index — 32nd percentile

32% of scientists in this discipline score the same or lower.

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

Overview

Mutlu Ozdogan is affiliated with the University of Wisconsin-Madison in the United States. Their work spans multiple topics in the environmental sciences, focusing extensively on the application of remote sensing and data-driven methods in agriculture and ecosystem studies.

The scientist's research addresses areas such as Remote Sensing in Agriculture, Land Use and Ecosystem Services, Remote Sensing and LiDAR Applications, Plant Water Relations and Carbon Dynamics, Hydrology and Watershed Management Studies, Smart Agriculture and AI, and Climate Change Impacts on Agriculture.

Ozdogan has contributed to the main field of Environmental Science, with a notable focus on several subfields including Ecology, Global and Planetary Change, Environmental Engineering, Plant Science, and Water Science and Technology.

Their recent papers include the following publications:

  • OpenET: Filling a Critical Data Gap in Water Management for the Western United States, 2021, JAWRA Journal of the American Water Resources Association
  • Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach, 2021, Remote Sensing of Environment
  • Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest, 2020, Environmental Research Letters
  • Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine, 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • A data-driven approach to estimate leaf area index for Landsat images over the contiguous US, 2021, Remote Sensing of Environment

Ozdogan has collaborated frequently with several researchers, including Yanghui Kang, Sherrie Wang, Devaki Ghose, Tyler Erickson, and Martha C. Anderson.

Their work has appeared repeatedly in prominent publication venues such as Remote Sensing, SSRN Electronic Journal, Remote Sensing of Environment, JAWRA Journal of the American Water Resources Association, and Environmental Research Letters.

In addition to journal articles, Ozdogan has contributed to book publications, such as "Field-Scale Rice Area and Yield Mapping in Sri Lanka with Optical Remote Sensing and Limited Training Data," published by Washington, DC: World Bank eBooks, scheduled for 2025.

Best Publications

  • Patterns and drivers of post-socialist farmland abandonment in Western Ukraine

    Matthias Baumann;Tobias Kuemmerle;Tobias Kuemmerle;Marine Elbakidze;Marine Elbakidze;Mutlu Ozdogan

  • Remote sensing of irrigated agriculture: Opportunities and challenges

    Mutlu Ozdogan;Yang Yang;George Allez;Chelsea Cervantes

  • Global Land Cover Mapping: A Review and Uncertainty Analysis

    Russell G. Congalton;Jianyu Gu;Kamini Yadav;Prasad S. Thenkabail

  • Simulating the Effects of Irrigation over the United States in a Land Surface Model Based on Satellite-Derived Agricultural Data

    Mutlu Ozdogan;Mat Thew Rodell;Hiroko Kato Beaudoing;David L. Toll

  • The impact of gridding artifacts on the local spatial properties of MODIS data : Implications for validation, compositing, and band-to-band registration across resolutions

    B. Tan;C.E. Woodcock;J. Hu;P. Zhang

  • A new methodology to map irrigated areas using multi-temporal MODIS and ancillary data: An application example in the continental US

    Mutlu Ozdogan;Garik Gutman

  • Multiscale analysis and validation of the MODIS LAI product: I. Uncertainty assessment

    Yuhong Tian;Yuhong Tian;Curtis E Woodcock;Yujie Wang;Jeff L Privette

  • OpenET: Filling a Critical Data Gap in Water Management for the Western United States

    Forrest S. Melton;Forrest S. Melton;Justin Huntington;Robyn Grimm;Jamie Herring

  • Corn yield prediction and uncertainty analysis based on remotely sensed variables using a Bayesian neural network approach

    Yuchi Ma;Zhou Zhang;Yanghui Kang;Yanghui Kang;Mutlu Özdoğan

  • Mapping rice paddy extent and intensification in the Vietnamese Mekong River Delta with dense time stacks of Landsat data

    Caitlin Kontgis;Annemarie Schneider;Mutlu Ozdogan

  • Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest

    Yanghui Kang;Mutlu Ozdogan;Xiaojin Zhu;Zhiwei Ye

  • The spatial distribution of crop types from MODIS data: Temporal unmixing using Independent Component Analysis

    Mutlu Ozdogan

  • Resolution dependent errors in remote sensing of cultivated areas

    Mutlu Ozdogan;Curtis E. Woodcock

  • MODIS phenology-derived, multi-year distribution of conterminous U.S. crop types

    Richard Massey;Temuulen T. Sankey;Russell G. Congalton;Kamini Yadav

  • Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine

    Aparna R. Phalke;Mutlu Özdoğan;Prasad S. Thenkabail;Tyler Erickson

  • Field-level crop yield mapping with Landsat using a hierarchical data assimilation approach

    Yanghui Kang;Mutlu Özdoğan

  • Irrigation‐induced changes in potential evapotranspiration in southeastern Turkey: Test and application of Bouchet's complementary hypothesis

    Mutlu Ozdogan;Guido D. Salvucci

  • Assessing future risks to agricultural productivity, water resources and food security: How can remote sensing help?

    P. S. Thenkabail;J. W. Knox;M. Ozdogan;M. K. Gumma

  • Modeling the impacts of climate change on wheat yields in Northwestern Turkey

    Mutlu Özdoğan

  • Multiscale analysis and validation of the MODIS LAI product: II. Sampling strategy

    Yuhong Tian;Yuhong Tian;Curtis E Woodcock;Yujie Wang;Jeff L Privette

  • Multiscale analysis and validation of the MODIS LAI product

    Yuhong Tian;Curtis E. Woodcock;Yujie Wang;Jeff L. Privette

Frequent Co-Authors

Martha C. Anderson
Martha C. Anderson Agricultural Research Service
Curtis E. Woodcock
Curtis E. Woodcock Boston University
Benjamin F. Zaitchik
Benjamin F. Zaitchik Johns Hopkins University
Prasad S. Thenkabail
Prasad S. Thenkabail United States Geological Survey
Russell G. Congalton
Russell G. Congalton University of New Hampshire
Guido D. Salvucci
Guido D. Salvucci Boston University
Murali Krishna Gumma
Murali Krishna Gumma International Crops Research Institute for the Semi-Arid Tropics
Yuhong Tian
Yuhong Tian National Oceanic and Atmospheric Administration
Christopher Hain
Christopher Hain Marshall Space Flight Center
Matthew Rodell
Matthew Rodell Goddard Space Flight Center

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