World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
41
Citations
11201
World Ranking
7567
National Ranking
2689

Lifeng Luo 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 Lifeng Luo 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: 105 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Lifeng Luo 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 Lifeng Luo 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: 41 D-Index — 22nd percentile

22% of scientists in this discipline score the same or lower.

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

Overview

Lifeng Luo is affiliated with Michigan State University in the United States. Their research spans multiple areas within environmental science with a focus on hydrology and watershed management.

The scientist has contributed extensively to studies involving global and planetary change, water science and technology, atmospheric science, environmental engineering, and management science and operations research. Their work often intersects with topics such as climate variability and models, flood risk assessment and management, and hydrological forecasting using artificial intelligence.

Major topics covered in their publications include:

  • Hydrology and Watershed Management Studies
  • Climate variability and models
  • Flood Risk Assessment and Management
  • Meteorological Phenomena and Simulations
  • Hydrological Forecasting Using AI
  • Hydrology and Drought Analysis
  • Cryospheric studies and observations

Luo has published in a range of venues, reflecting a multidisciplinary approach. Frequent publication outlets include:

  • arXiv (Cornell University)
  • Journal of Hydrology
  • Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
  • Water
  • Hydrology and earth system sciences

Among recent papers, notable works include:

  • Evaluation of random forests for short-term daily streamflow forecasting in rainfall- and snowmelt-driven watersheds (2021, Hydrology and earth system sciences)
  • Exploring the ENSO Impact on Basin-Scale Floods Using Hydrological Simulations and TRMM Precipitation (2020, Geophysical Research Letters)
  • Climate change and water security in the northern slope of the Tianshan Mountains (2022, Geography and sustainability)
  • Hydrological drought evolution with a nonlinear joint index in regions with significant changes in underlying surface (2020, Journal of Hydrology)
  • Variation of Surface Air Temperature Induced by Enhanced Land-Atmosphere Coupling During 1981-2020 in Xinjiang, Northwest China (2023, Journal of Geophysical Research Atmospheres)

Luo collaborates frequently with a number of coauthors. Among the most common are:

  • Pang-Ning Tan
  • Yadu Pokhrel
  • Andrew M. McDonald
  • Qiuhong Tang
  • Yang Lang

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

  • Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products

    Youlong Xia;Kenneth Mitchell;Michael Ek;Justin Sheffield

  • Past and future changes in climate and hydrological indicators in the US Northeast

    Katharine Hayhoe;Cameron P Wake;Thomas G Huntington;Lifeng Luo

  • Real‐time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project

    Brian A. Cosgrove;Brian A. Cosgrove;Dag Lohmann;Kenneth E. Mitchell;Paul R. Houser

  • Continental‐scale water and energy flux analysis and validation for North American Land Data Assimilation System project phase 2 (NLDAS‐2): 2. Validation of model‐simulated streamflow

    Youlong Xia;Kenneth Mitchell;Michael Ek;Brian Cosgrove

  • Contribution of land surface initialization to subseasonal forecast skill: first results from a multi-model experiment.

    R. D. Koster;S. P.P. Mahanama;S. P.P. Mahanama;T.J. Yamada;T.J. Yamada;T.J. Yamada;Gianpaolo Balsamo

  • The Second Phase of the Global Land–Atmosphere Coupling Experiment: Soil Moisture Contributions to Subseasonal Forecast Skill

    R. D. Koster;S. P. P. Mahanama;S. P. P. Mahanama;S. P. P. Mahanama;T. J. Yamada;T. J. Yamada;T. J. Yamada;Gianpaolo Balsamo

  • Surface radiation budgets in support of the GEWEX Continental-Scale International Project (GCIP) and the GEWEX Americas Prediction Project (GAPP), including the North American Land Data Assimilation System (NLDAS) project

    Rachel T. Pinker;J. Dan Tarpley;Istvan Laszlo;Kenneth E. Mitchell

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

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

  • Effects of frozen soil on soil temperature, spring infiltration, and runoff: Results from the PILPS 2(d) experiment at Valdai, Russia

    Lifeng Luo;Alan Robock;Konstantin Y. Vinnikov;C. Adam Schlosser

  • Evaluation of the North American Land Data Assimilation System over the southern Great Plains during the warm season

    Alan Robock;Lifeng Luo;Lifeng Luo;Eric F. Wood;Fenghua Wen

  • The role of initial conditions and forcing uncertainties in seasonal hydrologic forecasting

    Haibin Li;Lifeng Luo;Eric F. Wood;John Schaake

  • Land surface model spin‐up behavior in the North American Land Data Assimilation System (NLDAS)

    Brian A. Cosgrove;Dag Lohmann;Kenneth E. Mitchell;Paul R. Houser

  • Streamflow and water balance intercomparisons of four land surface models in the North American Land Data Assimilation System Project

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

  • 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

  • Monitoring and predicting the 2007 U.S. drought

    Lifeng Luo;Eric F. Wood

  • Validation of the North American Land Data Assimilation System (NLDAS) retrospective forcing over the southern Great Plains

    Lifeng Luo;Lifeng Luo;Alan Robock;Kenneth E. Mitchell;Paul R. Houser

  • Contribution of temperature and precipitation anomalies to the California drought during 2012–2015

    Lifeng Luo;Deanna Apps;Deanna Apps;Samuel Arcand;Huating Xu;Huating Xu

  • Evaluation of random forests for short-term daily streamflow forecasting in rainfall- and snowmelt-driven watersheds

    Unknown

  • Bayesian merging of multiple climate model forecasts for seasonal hydrological predictions

    Lifeng Luo;Eric F. Wood;Ming Pan

  • Snow process modeling in the north american Land Data Assimilation System (NLDAS): 2. Evaluation of model simulated snow water equivalent : GEWEX Continental-Scale International Project, Part 3 (GCIP3)

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

  • Surface radiation budgets in support of the GEWEX Continental-Scale International Project (GCIP) and the GEWEX Americas Prediction Project (GAPP), including the North American Land Data Assimilation System (NLDAS) project : GEWEX Continental-Scale International Project, Part 3 (GCIP3)

    Rachel T. Pinker;J. Dan Tarpley;Istvan Laszlo;Kenneth E. Mitchell

  • Evaluation of the North American Land Data Assimilation System over the southern Great Plains during the warm season : GEWEX Continental-Scale International Project, Part 3 (GCIP3)

    Alan Robock;Lifeng Luo;Eric F. Wood;Fenghua Wen

Frequent Co-Authors

Eric F. Wood
Eric F. Wood Princeton University
Kenneth E. Mitchell
Kenneth E. Mitchell National Oceanic and Atmospheric Administration
Qingyun Duan
Qingyun Duan Hohai University
Alan Robock
Alan Robock Rutgers, The State University of New Jersey
Justin Sheffield
Justin Sheffield University of Southampton
Paul R. Houser
Paul R. Houser George Mason University
Rachel T. Pinker
Rachel T. Pinker University of Maryland, College Park
R. Wayne Higgins
R. Wayne Higgins National Oceanic and Atmospheric Administration
Pang-Ning Tan
Pang-Ning Tan Michigan State University
Ming Pan
Ming Pan Princeton University

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 students interested in Environmental Sciences, exploring related online degree options can open diverse career pathways. Many programs focus on foundational skills, making degrees like those found in low cost online general studies degree programs an attractive starting point. These affordable options provide flexibility and broad knowledge applicable to environmental fields.

If you are seeking programs that are manageable alongside other commitments, considering the easiest bachelor's degree to get may help you build a relevant foundation without overwhelming stress. These degrees often emphasize practical learning and can serve as stepping stones toward more specialized study.

Specialized degrees in earth sciences are particularly valuable for careers focusing on natural environments. Online geology degrees offer in-depth understanding of earth processes and are ideal for professionals entering fields like environmental consulting or resource management. Discover programs through the online geology degree listings.

Additionally, Geographic Information Systems (GIS) play a crucial role in environmental analysis and decision-making. Pursuing one of the best gis undergraduate programs equips students with cutting-edge spatial data skills, enhancing career opportunities in conservation, urban planning, and beyond.

Best Scientists Citing Lifeng Luo

Trending Scientists

Recently Published Articles