World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
76
Citations
19464
World Ranking
1212
National Ranking
524

Ming Pan 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 Ming Pan 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.

Ming Pan 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 Ming Pan 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

Ming Pan is affiliated with Princeton University in the United States and focuses their research primarily within the field of Environmental Science. Their work spans several subfields including Global and Planetary Change, Water Science and Technology, Atmospheric Science, Environmental Engineering, and Electrical and Electronic Engineering.

The scientist's research topics highlight areas such as Hydrology and Watershed Management Studies, Flood Risk Assessment and Management, Climate Variability and Models, Plant Water Relations and Carbon Dynamics, Soil Moisture and Remote Sensing, Hydrology and Drought Analysis, and Cryospheric Studies and Observations.

They have published extensively in prominent venues, with frequent publications appearing in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Water Resources Research
  • Hydrology and Earth System Sciences
  • Remote Sensing of Environment
  • Journal of Hydrometeorology

Notable recent papers by Ming Pan include:

  • "Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors" (2021), published in Hydrology and Earth System Sciences
  • "The importance of hydrology in routing terrestrial carbon to the atmosphere via global streams and rivers" (2022), published in Proceedings of the National Academy of Sciences
  • "Recent changes to Arctic river discharge" (2021), published in Nature Communications
  • "A Global Drought and Flood Catalogue from 1950 to 2016" (2020), published in Bulletin of the American Meteorological Society
  • "Global Fully Distributed Parameter Regionalization Based on Observed Streamflow From 4,229 Headwater Catchments" (2020), published in Journal of Geophysical Research Atmospheres

The scientist has collaborated frequently with several peers in their field. Regular coauthors include Peirong Lin, Hylke E. Beck, Eric F. Wood, Justin Sheffield, and Kaiyu Guan.

Best Publications

  • The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system

    Kenneth E. Mitchell;Dag Lohmann;Paul R. Houser;Eric F. Wood

  • MSWEP V2 Global 3-Hourly 0.1° Precipitation: Methodology and Quantitative Assessment

    Hylke E. Beck;Eric F. Wood;Ming Pan;Colby K. Fisher

  • Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling

    Hylke E. Beck;Noemi Vergopolan;Ming Pan;Vincenzo Levizzani

  • Multi-decadal trends in global terrestrial evapotranspiration and its components

    Yongqiang Zhang;Jorge L. Peña-Arancibia;Tim R. McVicar;Tim R. McVicar;Francis H. S. Chiew

  • Anthropogenic warming exacerbates European soil moisture droughts

    L. Samaniego;S. Thober;R. Kumar;N. Wanders

  • Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS

    Hylke E. Beck;Ming Pan;Tirthankar Roy;Graham P. Weedon

  • Satellite Remote Sensing for Water Resources Management: Potential for Supporting Sustainable Development in Data-Poor Regions

    J. Sheffield;Eric F. Wood;M. Pan;H. Beck

  • Photosynthetic seasonality of global tropical forests constrained by hydroclimate

    Kaiyu Guan;Kaiyu Guan;Ming Pan;Haibin Li;Adam Wolf

  • Vegetation control on water and energy balance within the Budyko framework

    Dan Li;Ming Pan;Zhentao Cong;Lu Zhang

  • Global Reconstruction of Naturalized River Flows at 2.94 Million Reaches

    Peirong Lin;Ming Pan;Hylke E. Beck;Yuan Yang;Yuan Yang

  • Inroads of remote sensing into hydrologic science during the WRR era

    Dennis P. Lettenmaier;Doug Alsdorf;Jeff Dozier;George J. Huffman

  • Local and global factors controlling water‐energy balances within the Budyko framework

    Xianli Xu;Wen Liu;Bridget R. Scanlon;Lu Zhang

  • Evaluation of 18 satellite- and model-based soil moisture products using in situ measurements from 826 sensors

    Hylke E. Beck;Ming Pan;Diego G. Miralles;Rolf H. Reichle

  • Data Assimilation for Estimating the Terrestrial Water Budget Using a Constrained Ensemble Kalman Filter

    Ming Pan;Eric F. Wood

  • SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia

    H. Lievens;S.K. Tomer;A. Al Bitar;G.J.M. De Lannoy

  • Multisource estimation of long-term terrestrial water budget for major global river basins

    Ming Pan;Alok K. Sahoo;Tara J. Troy;Raghuveer K. Vinukollu

  • From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling.

    Wen-Ping Tsai;Dapeng Feng;Ming Pan;Ming Pan;Hylke Beck

  • A first look at Climate Forecast System version 2 (CFSv2) for hydrological seasonal prediction

    Xing Yuan;Eric F. Wood;Lifeng Luo;Ming Pan

  • Reconciling the global terrestrial water budget using satellite remote sensing

    Alok K. Sahoo;Ming Pan;Tara J. Troy;Raghuveer K. Vinukollu

  • Climate change alters low flows in Europe under global warming of 1.5, 2, and 3 °C

    Andreas Marx;Rohini Kumar;Stephan Thober;Oldrich Rakovec;Oldrich Rakovec

  • Snow process modeling in the North American Land Data Assimilation System (NLDAS): 1. Evaluation of model-simulated snow cover extent

    Justin Sheffield;Ming Pan;Eric F. Wood;Kenneth E. Mitchell

Frequent Co-Authors

Eric F. Wood
Eric F. Wood Princeton University
Justin Sheffield
Justin Sheffield University of Southampton
Niko Wanders
Niko Wanders Utrecht University
Hylke E. Beck
Hylke E. Beck King Abdullah University of Science and Technology
Valentijn R. N. Pauwels
Valentijn R. N. Pauwels Monash University
Niko E. C. Verhoest
Niko E. C. Verhoest Ghent University
Luis Samaniego
Luis Samaniego Helmholtz Centre for Environmental Research
Jeffrey P. Walker
Jeffrey P. Walker Monash University
Kaiyu Guan
Kaiyu Guan University of Illinois at Urbana-Champaign
Matthias Drusch
Matthias Drusch European Space Agency

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in Environmental Sciences, pursuing related online degrees can open diverse career opportunities. Many students choose to explore geology, a field closely tied to environmental studies. Accredited programs in geology degrees online offer foundational knowledge in earth sciences critical for tackling environmental challenges.

Another vital area is Geographic Information Systems (GIS), which plays a key role in environmental data analysis and resource management. The best gis programs provide specialized training in spatial data technologies used in everything from conservation efforts to urban planning.

Leadership and policy skills are equally important for environmental professionals. Online programs such as the best online masters in public administration equip graduates to influence public policy and manage environmental projects effectively.

Additionally, understanding social dynamics is crucial when addressing environmental issues. Pursuing an accredited online bachelors in sociology can help develop insights into human behavior and community engagement, enhancing interdisciplinary approaches to sustainability.

Best Scientists Citing Ming Pan

Trending Scientists

Recently Published Articles