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David Mocko

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 38 8499 8158 3030 2815 137 10665

David Mocko publications per year

The chart shows the history of publications by David Mocko between 1995 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. David Mocko published across 31 years, from 1995 to 2025, averaging 4.7 papers a year. Output peaked at 15 publications in 2014. 11 of the 147 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1995 to 2025. Vertical axis: number of publications, 0 to 15. Peak 15 publications in 2014. 1995: 1 publication 1996: 0 publications 1997: 0 publications 1998: 1 publication 1999: 3 publications 2000: 1 publication 2001: 3 publications 2002: 1 publication 2003: 4 publications 2004: 1 publication 2005: 0 publications 2006: 5 publications 2007: 1 publication 2008: 1 publication 2009: 6 publications 2010: 3 publications 2011: 8 publications 2012: 7 publications 2013: 8 publications 2014: 15 publications 2015: 4 publications 2016: 11 publications 2017: 9 publications 2018: 10 publications 2019: 9 publications 2020: 10 publications 2021: 7 publications 2022: 5 publications 2023: 2 publications 2024: 3 publications 2025: 8 publications
1995 2025

147 publications in total across all disciplines

View publications per year as a table
David Mocko: publications per year, 1995 to 2025
Year Publications
1995 1
1996 0
1997 0
1998 1
1999 3
2000 1
2001 3
2002 1
2003 4
2004 1
2005 0
2006 5
2007 1
2008 1
2009 6
2010 3
2011 8
2012 7
2013 8
2014 15
2015 4
2016 11
2017 9
2018 10
2019 9
2020 10
2021 7
2022 5
2023 2
2024 3
2025 8
Total 147
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David Mocko 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 David Mocko 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, 131–140 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: 137 publications — 34th percentile

34% 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
121–130 617
131–140 544 137
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

David Mocko 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 David Mocko 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, 38 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: 38 D-Index — 12th percentile

12% 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 38
39 275
40 321
41 343
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

David Mocko is affiliated with the National Aeronautics and Space Administration in the United States. Their research spans multiple areas within environmental and earth sciences, with a strong focus on hydrology, climate variability, and remote sensing methodologies.

The main fields of study within their body of work are Environmental Science and Earth and Planetary Sciences. More specifically, their research covers subfields such as Global and Planetary Change, Atmospheric Science, Water Science and Technology, Environmental Engineering, and Ecology.

The key topics addressed in their work include Climate Variability and Models, Hydrology and Watershed Management Studies, Hydrology and Drought Analysis, Plant Water Relations and Carbon Dynamics, Cryospheric Studies and Observations, Soil Moisture and Remote Sensing, and Precipitation Measurement and Analysis.

Frequent co-authors collaborating with David Mocko include Sujay V. Kumar, C. D. Peters-Lidard, Kristi R. Arsenault, Shugong Wang, and Jerry Wegiel.

Common publication venues for their research are the Journal of Hydrometeorology, Bulletin of the American Meteorological Society, Remote Sensing, Hydrology and Earth System Sciences, and Zenodo (CERN European Organization for Nuclear Research).

Significant recent papers associated with David Mocko are:

  • Assimilation of Vegetation Conditions Improves the Representation of Drought over Agricultural Areas, 2021, Journal of Hydrometeorology
  • Snow Ensemble Uncertainty Project (SEUP): quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling, 2021, The Cryosphere
  • Drought Variability over the Conterminous United States for the Past Century, 2021, Journal of Hydrometeorology
  • The NASA Hydrological Forecast System for Food and Water Security Applications, 2020, Bulletin of the American Meteorological Society
  • Impact of Surface Albedo Assimilation on Snow Estimation, 2020, Remote Sensing

Best Publications

  • Regions of Strong Coupling Between Soil Moisture and Precipitation

    Randal D. Koster;Paul A. Dirmeyer;Zhichang Guo;Gordon Bonan

  • 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

  • GLACE: The Global Land-Atmosphere Coupling Experiment. Part I: Overview

    Randal D. Koster;Zhichang Guo;Paul A. Dirmeyer;Gordon Bonan

  • Global GRACE data assimilation for groundwater and drought monitoring: Advances and challenges

    Bailing Li;Bailing Li;Matthew Rodell;Sujay Kumar;Hiroko Kato Beaudoing;Hiroko Kato Beaudoing

  • Soil Moisture Memory in AGCM Simulations: Analysis of Global Land–Atmosphere Coupling Experiment (GLACE) Data

    Sonia I. Seneviratne;Sonia I. Seneviratne;Randal D. Koster;Zhichang Guo;Paul A. Dirmeyer

  • Glace: The Global Land-Atmosphere Coupling Experiment Part 2: Analysis

    Zhichang Guo;Paul A. Dirmeyer;Randal D. Koster;Gordon Bonan

  • Simulation of high-latitude hydrological processes in the Torne-Kalix basin: PILPS phase 2(e) - 1: Experiment description and summary intercomparisons

    Laura C. Bowling;Dennis P. Lettenmaier;Bart Nijssen;Bart Nijssen;L. Phil Graham

  • Assimilation of Remotely Sensed Soil Moisture and Snow Depth Retrievals for Drought Estimation

    Sujay V. Kumar;Christa D. Peters-Lidard;David Mocko;Rolf Reichle

  • Atmospheric Water Balance and Variability in the MERRA-2 Reanalysis

    Michael G. Bosilovich;Franklin R. Robertson;Lawrence Takacs;Andrea Molod

  • Assimilation of Gridded GRACE Terrestrial Water Storage Estimates in the North American Land Data Assimilation System

    Sujay V. Kumar;Benjamin F. Zaitchik;Christa D. Peters-Lidard;Matthew Rodell

  • Simulation of high latitude hydrological processes in the Torne-Kalix basin : PILPS phase 2(e) - 2: Comparison of model results with observations

    Bart Nijssen;Bart Nijssen;Laura C. Bowling;Dennis P. Lettenmaier;Douglas B. Clark

  • Using remotely-sensed estimates of soil moisture to infer soil texture and hydraulic properties across a semi-arid watershed

    Joseph A. Santanello;Joseph A. Santanello;Christa D. Peters-Lidard;Matthew E. Garcia;Matthew E. Garcia;David M. Mocko;David M. Mocko

  • Where Does the Irrigation Water Go? An Estimate of the Contribution of Irrigation to Precipitation Using MERRA

    Jiangfeng Wei;Paul A. Dirmeyer;Dominik Wisser;Michael G. Bosilovich

  • Estimating evapotranspiration with land data assimilation systems

    Christa D. Peters-Lidard;Sujay V. Kumar;Sujay V. Kumar;David M. Mocko;David M. Mocko;Yudong Tian

  • Assimilation of Remotely Sensed Leaf Area Index into the Noah-MP Land Surface Model: Impacts on Water and Carbon Fluxes and States over the Continental United States

    Sujay V. Kumar;David M. Mocko;Shugong Wang;Christa D. Peters-Lidard

  • NCA-LDAS Land Analysis: Development and Performance of a Multisensor, Multivariate Land Data Assimilation System for the National Climate Assessment

    Sujay V. Kumar;Michael Jasinski;David M. Mocko;Matthew Rodell

  • Benchmarking NLDAS-2 Soil Moisture and Evapotranspiration to Separate Uncertainty Contributions

    Grey S. Nearing;David M. Mocko;Christa D. Peters-Lidard;Sujay V. Kumar

  • Application of USDM statistics in NLDAS‐2: Optimal blended NLDAS drought index over the continental United States

    Youlong Xia;Michael B. Ek;Christa D. Peters-Lidard;David Mocko;David Mocko

  • Comparison and Assessment of Three Advanced Land Surface Models in Simulating Terrestrial Water Storage Components over the United States

    Youlong Xia;David Mocko;Maoyi Huang;Bailing Li

  • Snow Ensemble Uncertainty Project (SEUP): quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling

    Rhae Sung Kim;Rhae Sung Kim;Sujay Kumar;Carrie Vuyovich;Paul R Houser

  • Evaluating the uncertainty of terrestrial water budget components over High Mountain Asia.

    Yeosang Yoon;Yeosang Yoon;Sujay V. Kumar;Barton A. Forman;Benjamin F. Zaitchik

Frequent Co-Authors

Sujay V. Kumar
Sujay V. Kumar Goddard Space Flight Center
Christa D. Peters-Lidard
Christa D. Peters-Lidard Goddard Space Flight Center
Matthew Rodell
Matthew Rodell Goddard Space Flight Center
Youlong Xia
Youlong Xia M-Systems
Dennis P. Lettenmaier
Dennis P. Lettenmaier University of California, Los Angeles
Michael Ek
Michael Ek National Center for Atmospheric Research
Kenneth E. Mitchell
Kenneth E. Mitchell National Oceanic and Atmospheric Administration
Eric F. Wood
Eric F. Wood Princeton University
Justin Sheffield
Justin Sheffield University of Southampton
Michael G. Bosilovich
Michael G. Bosilovich Goddard Space Flight Center

External Links

Personal website of David Mocko

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Moreover, careers involving spatial data and environmental mapping benefit greatly from degrees in Geographic Information Systems (GIS). Accessing the best GIS undergraduate programs online can equip students with the specialized tools necessary for modern environmental analysis and decision-making.

Best Scientists Citing David Mocko

Sonia I. Seneviratne

Sonia I. Seneviratne

ETH Zurich

Publications: 97

Paul A. Dirmeyer

Paul A. Dirmeyer

George Mason University

Publications: 85

Eric F. Wood

Eric F. Wood

Princeton University

Publications: 66

Sujay V. Kumar

Sujay V. Kumar

Goddard Space Flight Center

Publications: 65

Zong-Liang Yang

Zong-Liang Yang

The University of Texas at Austin

Publications: 53

Randal D. Koster

Randal D. Koster

Goddard Space Flight Center

Publications: 53

Andrew J. Pitman

Andrew J. Pitman

University of New South Wales

Publications: 50

Rolf H. Reichle

Rolf H. Reichle

Goddard Space Flight Center

Publications: 49

Christopher Hain

Christopher Hain

Marshall Space Flight Center

Publications: 49

Martha C. Anderson

Martha C. Anderson

Agricultural Research Service

Publications: 48

Justin Sheffield

Justin Sheffield

University of Southampton

Publications: 48

Christa D. Peters-Lidard

Christa D. Peters-Lidard

Goddard Space Flight Center

Publications: 47

Diego G. Miralles

Diego G. Miralles

Ghent University

Publications: 45

Wade T. Crow

Wade T. Crow

Agricultural Research Service

Publications: 44

Joseph A. Santanello

Joseph A. Santanello

Goddard Space Flight Center

Publications: 44

Kun Yang

Kun Yang

Tsinghua University

Publications: 37

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