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David Gochis

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 59 3036 2902 1184 1098 277 17498

David Gochis publications per year

The chart shows the history of publications by David Gochis between 2000 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. David Gochis published across 26 years, from 2000 to 2025, averaging 11.8 papers a year. Output peaked at 29 publications in 2020. 20 of the 307 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2000 to 2025. Vertical axis: number of publications, 0 to 29. Peak 29 publications in 2020. 2000: 1 publication 2001: 1 publication 2002: 2 publications 2003: 3 publications 2004: 2 publications 2005: 2 publications 2006: 5 publications 2007: 10 publications 2008: 8 publications 2009: 9 publications 2010: 11 publications 2011: 9 publications 2012: 14 publications 2013: 19 publications 2014: 16 publications 2015: 25 publications 2016: 25 publications 2017: 25 publications 2018: 19 publications 2019: 17 publications 2020: 29 publications 2021: 13 publications 2022: 10 publications 2023: 12 publications 2024: 14 publications 2025: 6 publications
2000 2025

307 publications in total across all disciplines

View publications per year as a table
David Gochis: publications per year, 2000 to 2025
Year Publications
2000 1
2001 1
2002 2
2003 3
2004 2
2005 2
2006 5
2007 10
2008 8
2009 9
2010 11
2011 9
2012 14
2013 19
2014 16
2015 25
2016 25
2017 25
2018 19
2019 17
2020 29
2021 13
2022 10
2023 12
2024 14
2025 6
Total 307
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David Gochis 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 Gochis 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, 271–280 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: 277 publications — 83rd percentile

83% 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
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
271–280 155 277
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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David Gochis 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 Gochis 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, 59 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: 59 D-Index — 69th percentile

69% 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
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 59
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 Gochis is affiliated with the National Center for Atmospheric Research in the United States. Their research primarily spans the fields of Environmental Science and Earth and Planetary Sciences, with a significant focus on Water Science and Technology and Atmospheric Science.

Their work encompasses a broad range of topics, including:

  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Cryospheric Studies and Observations
  • Meteorological Phenomena and Simulations
  • Climate Change and Permafrost
  • Climate Variability and Models
  • Plant Water Relations and Carbon Dynamics

David Gochis has contributed to several notable publications in the atmospheric and hydrologic sciences arenas. Among their recent papers are:

  • "Mapping of 30-meter resolution tile-drained croplands using a geospatial modeling approach," 2020, published in Scientific Data
  • "A Storm Safari in Subtropical South America: Proyecto RELAMPAGO," 2021, Bulletin of the American Meteorological Society
  • "Continental Hydrologic Intercomparison Project, Phase 1: A Large-Scale Hydrologic Model Comparison Over the Continental United States," 2021, Water Resources Research
  • "NOAA's National Water Model: Advancing operational hydrology through continental-scale modeling," 2024, JAWRA Journal of the American Water Resources Association
  • "CONUS404: The NCAR-USGS 4-km Long-Term Regional Hydroclimate Reanalysis over the CONUS," 2023, Bulletin of the American Meteorological Society

The venues where David Gochis most frequently publishes include:

  • Bulletin of the American Meteorological Society
  • Water Resources Research
  • JAWRA Journal of the American Water Resources Association
  • Journal of Hydrometeorology
  • Hydrology and Earth System Sciences

Collaboration is a significant aspect of their research approach. Among frequent co-authors are:

  • A. L. Dugger (15 joint works)
  • Fei Chen (11 joint works)
  • Michael Barlage (10 joint works)
  • Cenlin He (10 joint works)
  • Laura Read (9 joint works)

Best Publications

  • The Weather Research and Forecasting Model: Overview, System Efforts, and Future Directions

    Jordan G. Powers;Joseph B. Klemp;William C. Skamarock;Christopher A. Davis

  • Toward a unified view of the American monsoon systems

    Carolina Vera;W. Higgins;J. Amador;T. Ambrizzi

  • Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water

    Eric F. Wood;Joshua K. Roundy;Tara J. Troy;L. P. H. van Beek

  • How Well Are We Measuring Snow: The NOAA/FAA/NCAR Winter Precipitation Test Bed

    Roy Rasmussen;Bruce Baker;John Kochendorfer;Tilden Meyers

  • An overview of current applications, challenges, and future trends in distributed process-based models in hydrology

    Simone Fatichi;Enrique R. Vivoni;Fred L. Ogden;Valeriy Y. Ivanov

  • Improving the representation of hydrologic processes in Earth System Models

    Martyn P. Clark;Ying Fan;David M. Lawrence;Jennifer C. Adam

  • Continental-scale convection-permitting modeling of the current and future climate of North America

    Changhai Liu;Kyoko Ikeda;Roy Rasmussen;Mike Barlage

  • High resolution coupled climate-runoff simulations of seasonal snowfall over Colorado: A process study of current and warmer climate

    Roy Rasmussen;Changhai Liu;Kyoko Ikeda;David Gochis

  • A unified approach for process-based hydrologic modeling: 1. Modeling concept

    Martyn P. Clark;Bart Nijssen;Jessica D. Lundquist;Dmitri Kavetski

  • Implications of projected climate change for groundwater recharge in the western United States

    Thomas Meixner;Andrew H. Manning;David A. Stonestrom;Diana M. Allen

  • High concentrations of biological aerosol particles and ice nuclei during and after rain

    J. A. Huffman;J. A. Huffman;A. J. Prenni;P. J. DeMott;C. Pohlker

  • Hyper-resolution global hydrological modelling: what is next?

    Marc F. P. Bierkens;Victoria A. Bell;Peter Burek;Nathaniel Chaney

  • Calibration and evaluation of a flood forecasting system: Utility of numerical weather prediction model, data assimilation and satellite-based rainfall

    I. Yucel;A. Onen;K.K. Yilmaz;D.J. Gochis

  • A gridded global data set of soil, intact regolith, and sedimentary deposit thicknesses for regional and global land surface modeling

    Jon D. Pelletier;Patrick D. Broxton;Pieter Hazenberg;Xubin Zeng

  • Cascading impacts of bark beetle‐caused tree mortality on coupled biogeophysical and biogeochemical processes

    Steven L. Edburg;Jeffrey A. Hicke;Paul D. Brooks;Elise G. Pendall

  • The Great Colorado Flood of September 2013

    David Gochis;Russ Schumacher;Katja Friedrich;Nolan Doesken

  • A Comparison of Statistical and Dynamical Downscaling of Winter Precipitation over Complex Terrain

    Ethan D. Gutmann;Roy M. Rasmussen;Changhai Liu;Kyoko Ikeda

  • Climate Change Impacts on the Water Balance of the Colorado Headwaters: High-Resolution Regional Climate Model Simulations

    Roy Rasmussen;Kyoko Ikeda;Changhai Liu;David Gochis

  • Evaluation of PERSIANN-CCS rainfall measurement using the NAME event rain gauge network

    Yang Hong;David Gochis;Jiang-tao Cheng;Kuo-lin Hsu

  • A unified approach for process-based hydrologic modeling: 2. Model implementation and case studies

    Martyn P. Clark;Bart Nijssen;Jessica D. Lundquist;Dmitri Kavetski

  • The ``Year'' of Tropical Convection (May 2008-April 2010): Climate Variability and Weather Highlights

    Duane E. Waliser;Mitchell W. Moncrieff;David Burridge;Andreas H. Fink

Frequent Co-Authors

Ethan Gutmann
Ethan Gutmann National Center for Atmospheric Research
Roy Rasmussen
Roy Rasmussen National Center for Atmospheric Research
Enrique R. Vivoni
Enrique R. Vivoni Arizona State University
Joel A. Biederman
Joel A. Biederman United States Department of Agriculture
Reed M. Maxwell
Reed M. Maxwell Princeton University
Kyoko Ikeda
Kyoko Ikeda National Center for Atmospheric Research
David Yates
David Yates National Center for Atmospheric Research
Michael Barlage
Michael Barlage National Center for Atmospheric Research
Paul D. Brooks
Paul D. Brooks University of Utah
Adrian A. Harpold
Adrian A. Harpold University of Nevada Reno

External Links

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Related Online Degrees & Career Pathways

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Exploring these related degrees online not only builds interdisciplinary knowledge but also offers flexible learning suited to busy professionals passionate about making a difference in environmental fields.

Best Scientists Citing David Gochis

Martyn P. Clark

Martyn P. Clark

University of Saskatchewan

Publications: 68

Roy Rasmussen

Roy Rasmussen

National Center for Atmospheric Research

Publications: 56

Enrique R. Vivoni

Enrique R. Vivoni

Arizona State University

Publications: 48

Yang Hong

Yang Hong

University of Oklahoma

Publications: 38

Noah P. Molotch

Noah P. Molotch

University of Colorado Boulder

Publications: 37

Ulrich Pöschl

Ulrich Pöschl

Max Planck Institute for Chemistry

Publications: 36

Eric F. Wood

Eric F. Wood

Princeton University

Publications: 35

Reed M. Maxwell

Reed M. Maxwell

Princeton University

Publications: 34

Harald Kunstmann

Harald Kunstmann

Karlsruhe Institute of Technology

Publications: 34

Jhan Carlo Espinoza

Jhan Carlo Espinoza

Institut de Recherche pour le Développement

Publications: 33

Alex Guenther

Alex Guenther

University of California, Irvine

Publications: 31

Fei Chen

Fei Chen

National Center for Atmospheric Research

Publications: 31

Bodo Bookhagen

Bodo Bookhagen

University of Potsdam

Publications: 31

Leila M. V. Carvalho

Leila M. V. Carvalho

University of California, Santa Barbara

Publications: 30

Sujay V. Kumar

Sujay V. Kumar

Goddard Space Flight Center

Publications: 27

Soroosh Sorooshian

Soroosh Sorooshian

University of California, Irvine

Publications: 27

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