World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
58
Citations
15071
World Ranking
3223
National Ranking
21

Jungho Im 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 Jungho Im 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: 210 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Jungho Im 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 Jungho Im 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: 58 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Overview

Jungho Im is affiliated with the Ulsan National Institute of Science and Technology in South Korea. Their research primarily focuses on environmental science and earth and planetary sciences, with a substantial number of publications in related subfields.

The main fields of study covered in their work include:

  • Environmental Science
  • Earth and Planetary Sciences

Within these broader areas, their research extends into specific subfields such as:

  • Atmospheric Science
  • Global and Planetary Change
  • Environmental Engineering
  • Oceanography
  • Ecology

The topics frequently addressed in their publications include:

  • Atmospheric chemistry and aerosols
  • Meteorological Phenomena and Simulations
  • Climate variability and models
  • Air Quality Monitoring and Forecasting
  • Remote Sensing in Agriculture
  • Atmospheric aerosols and clouds
  • Remote Sensing and LiDAR Applications

Their recent papers illustrate the application of machine learning and remote sensing technologies to environmental and atmospheric issues. Notable papers include:

  • Estimation of surface-level NO2 and O3 concentrations using TROPOMI data and machine learning over East Asia (2021, Environmental Pollution)
  • Comparative Assessment of Various Machine Learning-Based Bias Correction Methods for Numerical Weather Prediction Model Forecasts of Extreme Air Temperatures in Urban Areas (2020, Earth and Space Science)
  • Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks (2020, The Cryosphere)
  • On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient (2021, Agricultural and Forest Meteorology)
  • Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia (2021, ISPRS Journal of Photogrammetry and Remote Sensing)

Im's frequent coauthors comprise several collaborators, including:

  • Cheolhee Yoo
  • Dongjin Cho
  • Daehyeon Han
  • Yoojin Kang
  • Seohui Park

Their publications appear regularly in specific scientific venues such as:

  • Remote Sensing
  • GIScience & Remote Sensing
  • Scholarworks@UNIST (Ulsan National Institute of Science and Technology)
  • Remote Sensing of Environment
  • International Journal of Applied Earth Observation and Geoinformation

Best Publications

  • Support vector machines in remote sensing: A review

    Giorgos Mountrakis;Jungho Im;Caesar Ogole

  • Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data

    Jinyoung Rhee;Jungho Im;Gregory J. Carbone

  • Object-based change detection using correlation image analysis and image segmentation

    J. Im;J. R. Jensen;J. A. Tullis

  • A change detection model based on neighborhood correlation image analysis and decision tree classification

    Jungho Im;John R. Jensen

  • Forest biomass estimation from airborne LiDAR data using machine learning approaches

    Colin J. Gleason;Jungho Im;Jungho Im

  • Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification

    Yinghai Ke;Lindi J. Quackenbush;Jungho Im

  • Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions

    Seonyoung Park;Jungho Im;Eunna Jang;Jinyoung Rhee

  • Characteristics of Landsat 8 OLI-derived NDVI by comparison with multiple satellite sensors and in-situ observations

    Yinghai Ke;Jungho Im;Junghee Lee;Huili Gong

  • Meteorological drought forecasting for ungauged areas based on machine learning: Using long-range climate forecast and remote sensing data

    Jinyoung Rhee;Jungho Im

  • Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches

    Jungho Im;Seonyoung Park;Jinyoung Rhee;Jongjin Baik

  • Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images

    Cheolhee Yoo;Daehyeon Han;Jungho Im;Benjamin Bechtel

  • Machine learning approaches to coastal water quality monitoring using GOCI satellite data

    Yong Hoon Kim;Jungho Im;Ho Kyung Ha;Jong-Kuk Choi

  • Drought monitoring using high resolution soil moisture through multi-sensor satellite data fusion over the Korean peninsula

    Seonyoung Park;Jungho Im;Sumin Park;Jinyoung Rhee

  • Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine Learning Approaches

    Yinghai Ke;Jungho Im;Seonyoung Park;Huili Gong

  • Estimation of surface-level NO2 and O3 concentrations using TROPOMI data and machine learning over East Asia.

    Yoojin Kang;Hyunyoung Choi;Jungho Im;Seohui Park

  • Estimation of daily maximum and minimum air temperatures in urban landscapes using MODIS time series satellite data

    Cheolhee Yoo;Jungho Im;Seonyoung Park;Lindi J. Quackenbush

  • Comparative Assessment of Various Machine Learning-Based Bias Correction Methods for Numerical Weather Prediction Model Forecasts of Extreme Air Temperatures in Urban Areas

    Dongjin Cho;Cheolhee Yoo;Jungho Im;Dong‐Hyun Cha

  • Machine learning approaches for forest classification and change analysis using multi-temporal Landsat TM images over Huntington Wildlife Forest

    Manqi Li;Jungho Im;Colin Beier

  • Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data

    Seonyoung Park;Jungho Im;Seohui Park;Cheolhee Yoo

  • Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate

    Nishan Bhattarai;Nishan Bhattarai;Stephen B. Shaw;Lindi J. Quackenbush;Jungho Im

  • Hyperspectral Remote Sensing of Vegetation

    Jungho Im;John R. Jensen

  • Characteristics of Landsat 8 OLI-derived NDVI by comparison with

    Yinghai Ke;Junghee Lee;Youngryel Ryu;Huili Gong

Frequent Co-Authors

Myong-In Lee
Myong-In Lee Ulsan National Institute of Science and Technology
John R. Jensen
John R. Jensen University of South Carolina
Jhoon Kim
Jhoon Kim Yonsei University
Kyung Hwa Cho
Kyung Hwa Cho Korea University
Angus Atkinson
Angus Atkinson Plymouth Marine Laboratory
Sophie Fielding
Sophie Fielding British Antarctic Survey
Mark D. Coleman
Mark D. Coleman University of Idaho
Rokjin J. Park
Rokjin J. Park Seoul National University
Youngryel Ryu
Youngryel Ryu Seoul National University
Benjamin Bechtel
Benjamin Bechtel Ruhr University Bochum

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