World's Best Scientists 2026 revealed!
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Lifeng Luo

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 41 7569 7274 2689 2502 105 11201

Lifeng Luo publications per year

The chart shows the history of publications by Lifeng Luo between 2000 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Lifeng Luo published across 26 years, from 2000 to 2025, averaging 5.1 papers a year. Output peaked at 16 publications in 2003. 18 of the 132 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 2000 to 2025. Vertical axis: number of publications, 0 to 16. Peak 16 publications in 2003. 2000: 1 publication 2001: 0 publications 2002: 1 publication 2003: 16 publications 2004: 5 publications 2005: 1 publication 2006: 1 publication 2007: 3 publications 2008: 2 publications 2009: 4 publications 2010: 2 publications 2011: 2 publications 2012: 5 publications 2013: 4 publications 2014: 8 publications 2015: 4 publications 2016: 7 publications 2017: 5 publications 2018: 8 publications 2019: 9 publications 2020: 8 publications 2021: 7 publications 2022: 5 publications 2023: 6 publications 2024: 6 publications 2025: 12 publications
2000 2025

132 publications in total across all disciplines

View publications per year as a table
Lifeng Luo: publications per year, 2000 to 2025
Year Publications
2000 1
2001 0
2002 1
2003 16
2004 5
2005 1
2006 1
2007 3
2008 2
2009 4
2010 2
2011 2
2012 5
2013 4
2014 8
2015 4
2016 7
2017 5
2018 8
2019 9
2020 8
2021 7
2022 5
2023 6
2024 6
2025 12
Total 132
Download as CSV

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.

No. of scientists
200 400 600
Bar chart with 66 bars. Horizontal axis: publications, 41–50 to 690+. Vertical axis: number of scientists, 0 to 617. Most scientists, 617, have 121–130 publications. The last bar groups every scientist with 690 publications or more. The highlighted bar, 101–110 publications, is where this scientist sits. 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: 282 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: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 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 681–689 publications: 4 scientists 690+ publications: 100 scientists
41–50 publications 690+

This scientist: 105 publications — 16th percentile

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

The last bar groups every scientist with 690 publications or more.

View publications distribution as a table
Number of Environmental Sciences scientists by publication count, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
Publications Scientists This scientist
41–50 21
51–60 62
61–70 133
71–80 257
81–90 361
91–100 440
101–110 492 105
111–120 541
121–130 617
131–140 544
141–150 541
151–160 539
161–170 444
171–180 444
181–190 400
191–200 377
201–210 318
211–220 282
221–230 263
231–240 220
241–250 217
251–260 180
261–270 181
271–280 155
281–290 130
291–300 127
301–310 130
311–320 85
321–330 106
331–340 80
341–350 83
351–360 75
361–370 69
371–380 52
381–390 54
391–400 56
401–410 44
411–420 40
421–430 36
431–440 25
441–450 25
451–460 32
461–470 29
471–480 21
481–490 26
491–500 26
501–510 17
511–520 19
521–530 15
531–540 22
541–550 12
551–560 15
561–570 11
571–580 19
581–590 9
591–600 9
601–610 7
611–620 11
621–630 5
631–640 5
641–650 6
651–660 3
661–670 3
671–680 4
681–689 4
690+ 100
Download as CSV

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.

No. of scientists
100 200 300
Bar chart with 97 bars. Horizontal axis: D-Index, 30 to 126+. Vertical axis: number of scientists, 0 to 348. Most scientists, 348, have 45 D-Index. The last bar groups every scientist with 126 D-Index or more. The highlighted bar, 41 D-Index, is where this scientist sits. 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: 198 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: 20 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: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

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 126 D-Index or more.

View D-Index distribution as a table
Number of Environmental Sciences scientists by D-index, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
D-Index Scientists This scientist
30 12
31 26
32 51
33 88
34 123
35 163
36 206
37 267
38 265
39 275
40 321
41 343 41
42 305
43 336
44 330
45 348
46 291
47 275
48 272
49 273
50 263
51 232
52 266
53 217
54 198
55 177
56 202
57 204
58 166
59 177
60 166
61 152
62 143
63 150
64 124
65 119
66 120
67 118
68 82
69 98
70 94
71 105
72 74
73 84
74 70
75 67
76 78
77 60
78 59
79 52
80 47
81 38
82 48
83 42
84 42
85 43
86 29
87 37
88 29
89 30
90 34
91 20
92 22
93 17
94 19
95 24
96 21
97 20
98 24
99 17
100 17
101 21
102 25
103 18
104 26
105 20
106 15
107 10
108 13
109 15
110 12
111 8
112 7
113 9
114 6
115 12
116 7
117 8
118 3
119 5
120 7
121 2
122 4
123 8
124 7
125 9
126+ 92
Download as CSV

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

External Links

Personal website of Lifeng Luo

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Best Scientists Citing Lifeng Luo

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Publications: 100

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Publications: 76

Sujay V. Kumar

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Publications: 75

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Publications: 63

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Publications: 59

David Mocko

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National Aeronautics and Space Administration

Publications: 55

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Publications: 53

Christopher Hain

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Publications: 48

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