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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 41 7579 7283 2695 2507 118 10474

Vincent E. Larson publications per year

The chart shows the history of publications by Vincent E. Larson between 1999 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Vincent E. Larson published across 27 years, from 1999 to 2025, averaging 6.2 papers a year. Output peaked at 29 publications in 2022. 22 of the 168 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1999 to 2025. Vertical axis: number of publications, 0 to 29. Peak 29 publications in 2022. 1999: 1 publication 2000: 1 publication 2001: 4 publications 2002: 4 publications 2003: 0 publications 2004: 1 publication 2005: 2 publications 2006: 3 publications 2007: 6 publications 2008: 2 publications 2009: 4 publications 2010: 6 publications 2011: 3 publications 2012: 2 publications 2013: 9 publications 2014: 5 publications 2015: 12 publications 2016: 9 publications 2017: 5 publications 2018: 7 publications 2019: 12 publications 2020: 5 publications 2021: 9 publications 2022: 29 publications 2023: 5 publications 2024: 8 publications 2025: 14 publications
1999 2025

168 publications in total across all disciplines

View publications per year as a table
Vincent E. Larson: publications per year, 1999 to 2025
Year Publications
1999 1
2000 1
2001 4
2002 4
2003 0
2004 1
2005 2
2006 3
2007 6
2008 2
2009 4
2010 6
2011 3
2012 2
2013 9
2014 5
2015 12
2016 9
2017 5
2018 7
2019 12
2020 5
2021 9
2022 29
2023 5
2024 8
2025 14
Total 168
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Vincent E. Larson 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 Vincent E. Larson 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, 111–120 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: 118 publications — 23rd percentile

23% 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
111–120 541 118
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
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Vincent E. Larson 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 Vincent E. Larson 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
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Overview

Vincent E. Larson is affiliated with the University of Wisconsin-Milwaukee in the United States. Their research primarily focuses on Environmental Science and Earth and Planetary Sciences, with significant work published across these areas. The subfields they contribute to include Global and Planetary Change, Atmospheric Science, Environmental Engineering, Oceanography, and Water Science and Technology.

Their research topics cover a diverse range of areas within atmospheric and environmental studies. These topics include Meteorological Phenomena and Simulations, Climate Variability and Models, Atmospheric and Environmental Gas Dynamics, Atmospheric Aerosols and Clouds, Atmospheric Chemistry and Aerosols, Wind and Air Flow Studies, and Tropical and Extratropical Cyclones Research.

Vincent E. Larson has contributed to multiple publications. Notable recent papers include:

  • The Community Earth System Model Version 2 (CESM2), 2020, Journal of Advances in Modeling Earth Systems
  • The DOE E3SM Model Version 2: Overview of the Physical Model and Initial Model Evaluation, 2022, Journal of Advances in Modeling Earth Systems
  • Better calibration of cloud parameterizations and subgrid effects increases the fidelity of the E3SM Atmosphere Model version 1, 2022, Geoscientific Model Development
  • Aircraft Observations of Turbulence in Cloudy and Cloud-Free Boundary Layers Over the Western North Atlantic Ocean From ACTIVATE and Implications for the Earth System Model Evaluation and Development, 2022, Journal of Geophysical Research Atmospheres
  • Vertical dependence of horizontal variation of cloud microphysics: observations from the ACE-ENA field campaign and implications for warm-rain simulation in climate models, 2021, Atmospheric Chemistry and Physics

Their frequent co-authors illustrate collaborative research across various experts. These include Shixuan Zhang, Hui Wan, Xubin Zeng, Philip J. Rasch, and Christopher J. Vogl.

Vincent E. Larson's work is frequently published in several specialized venues. The most common publication outlets are:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Journal of Advances in Modeling Earth Systems
  • Geoscientific Model Development
  • Journal of Geophysical Research Atmospheres
  • Atmospheric Chemistry and Physics

Best Publications

  • The Community Earth System Model Version 2 (CESM2)

    G. Danabasoglu;J. F. Lamarque;J. Bacmeister;D. A. Bailey

  • The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution

    Jean Christophe Golaz;Peter M. Caldwell;Luke P. Van Roekel;Mark R. Petersen

  • A PDF-Based Model for Boundary Layer Clouds. Part I: Method and Model Description

    Jean-Christophe Golaz;Vincent E. Larson;William R. Cotton

  • Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. I: single-layer cloud

    Stephen A. Klein;Renata B. McCoy;Hugh Morrison;Andrew S. Ackerman

  • An Overview of the Atmospheric Component of the Energy Exascale Earth System Model

    P. J. Rasch;S. Xie;P.-L. Ma;W. Lin

  • Higher-Order Turbulence Closure and Its Impact on Climate Simulations in the Community Atmosphere Model

    Peter A. Bogenschutz;Andrew Gettelman;Hugh Morrison;Vincent E. Larson

  • The DOE E3SM Model Version 2: Overview of the Physical Model and Initial Model Evaluation

    Unknown

  • Using Probability Density Functions to Derive Consistent Closure Relationships among Higher-Order Moments

    Vincent E. Larson;Jean-Christophe Golaz

  • Small-Scale and Mesoscale Variability in Cloudy Boundary Layers: Joint Probability Density Functions

    Vincent E. Larson;Jean-Christophe Golaz;William R. Cotton

  • Evaluation of the Diurnal Cycle in the atmospheric boundary layer over land as represented by a variety of single-column models: The second GABLS Experiment

    Gunilla Svensson;A. A. M. Holtslag;V. Kumar;T. Mauritsen

  • Understanding Cloud and Convective Characteristics in Version 1 of the E3SM Atmosphere Model

    Shaocheng Xie;Wuyin Lin;Philip J. Rasch;Po-Lun Ma

  • Observed Microphysical Structure of Midlevel, Mixed-Phase Clouds

    Robert P. Fleishauer;Vincent E. Larson;Thomas H. Vonder Haar

  • A PDF-Based Model for Boundary Layer Clouds. Part II: Model Results

    Jean-Christophe Golaz;Vincent E. Larson;William R. Cotton

  • CGILS: Results from the first phase of an international project to understand the physical mechanisms of low cloud feedbacks in single column models

    Minghua Zhang;Christopher S. Bretherton;Peter N. Blossey;Phillip H. Austin

  • Intercomparison of model simulations of mixed-phase clouds observed during the ARM Mixed-Phase Arctic Cloud Experiment. I: single-layer cloud: MIXED-PHASE MODEL COMPARISONS. I: SINGLE-LAYER CLOUD

    Stephen A. Klein;Renata B. McCoy;Hugh Morrison;Andrew S. Ackerman

  • The Third GABLS Intercomparison Case for Evaluation Studies of Boundary-Layer Models. Part B: Results and Process Understanding

    Fred C. Bosveld;Peter Baas;Gert-Jan Steeneveld;Albert A. M. Holtslag

  • Systematic Biases in the Microphysics and Thermodynamics of Numerical Models That Ignore Subgrid-Scale Variability

    Vincent E. Larson;Robert Wood;Paul R. Field;Jean-Christophe Golaz

  • The path to CAM6: coupled simulations with CAM5.4 and CAM5.5

    Peter A. Bogenschutz;Peter A. Bogenschutz;Andrew Gettelman;Cecile Hannay;Vincent E. Larson

  • Small-Scale and Mesoscale Variability of Scalars in Cloudy Boundary Layers: One-Dimensional Probability Density Functions

    Vincent E. Larson;Robert Wood;Paul R. Field;Jean-Christophe Golaz

  • Parametric Sensitivity and Uncertainty Quantification in the Version 1 of E3SM Atmosphere Model Based on Short Perturbed Parameter Ensemble Simulations

    Yun Qian;Hui Wan;Ben Yang;Ben Yang;Jean‐Christophe Golaz

  • PDF Parameterization of Boundary Layer Clouds in Models with Horizontal Grid Spacings from 2 to 16 km

    Vincent E. Larson;David P. Schanen;Minghuai Wang;Mikhail Ovchinnikov

  • Unified parameterization of the planetary boundary layer and shallow convection with a higher-order turbulence closure in the Community Atmosphere Model: single-column experiments

    P. A. Bogenschutz;A. Gettelman;H. Morrison;V. E. Larson

  • The multi-scale aerosol-climate model PNNL-MMF: model description and evaluation

    M. Wang;S. Ghan;R. Easter;M. Ovchinnikov

Frequent Co-Authors

Jean-Christophe Golaz
Jean-Christophe Golaz Lawrence Livermore National Laboratory
Andrew Gettelman
Andrew Gettelman Pacific Northwest National Laboratory
Philip J. Rasch
Philip J. Rasch Pacific Northwest National Laboratory
Minghuai Wang
Minghuai Wang Nanjing University
Steven J. Ghan
Steven J. Ghan Pacific Northwest National Laboratory
Shaocheng Xie
Shaocheng Xie Lawrence Livermore National Laboratory
Hugh Morrison
Hugh Morrison National Center for Atmospheric Research
Yun Qian
Yun Qian Pacific Northwest National Laboratory
Xubin Zeng
Xubin Zeng University of Arizona
Kai Zhang
Kai Zhang Pacific Northwest National Laboratory

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