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David G. Tarboton

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 56 2759 2637 839 763 409 18008
Earth Science 60 1847 1662 808 709 329 19192

David G. Tarboton publications per year

The chart shows the history of publications by David G. Tarboton between 1985 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. David G. Tarboton published across 41 years, from 1985 to 2025, averaging 11.8 papers a year. Output peaked at 32 publications in 2008. 18 of the 485 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1985 to 2025. Vertical axis: number of publications, 0 to 32. Peak 32 publications in 2008. 1985: 1 publication 1986: 1 publication 1987: 2 publications 1988: 3 publications 1989: 4 publications 1990: 6 publications 1991: 1 publication 1992: 5 publications 1993: 10 publications 1994: 5 publications 1995: 11 publications 1996: 11 publications 1997: 7 publications 1998: 7 publications 1999: 8 publications 2000: 5 publications 2001: 14 publications 2002: 8 publications 2003: 10 publications 2004: 9 publications 2005: 11 publications 2006: 12 publications 2007: 13 publications 2008: 32 publications 2009: 17 publications 2010: 19 publications 2011: 23 publications 2012: 9 publications 2013: 21 publications 2014: 28 publications 2015: 23 publications 2016: 25 publications 2017: 12 publications 2018: 17 publications 2019: 17 publications 2020: 18 publications 2021: 14 publications 2022: 14 publications 2023: 14 publications 2024: 10 publications 2025: 8 publications
1985 2025

485 publications in total across all disciplines

View publications per year as a table
David G. Tarboton: publications per year, 1985 to 2025
Year Publications
1985 1
1986 1
1987 2
1988 3
1989 4
1990 6
1991 1
1992 5
1993 10
1994 5
1995 11
1996 11
1997 7
1998 7
1999 8
2000 5
2001 14
2002 8
2003 10
2004 9
2005 11
2006 12
2007 13
2008 32
2009 17
2010 19
2011 23
2012 9
2013 21
2014 28
2015 23
2016 25
2017 12
2018 17
2019 17
2020 18
2021 14
2022 14
2023 14
2024 10
2025 8
Total 485
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David G. Tarboton publication distribution in Earth Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where David G. Tarboton sits on this spectrum.

No. of scientists
100 200 300 400 500
Bar chart with 58 bars. Horizontal axis: publications, 38–47 to 603+. Vertical axis: number of scientists, 0 to 557. Most scientists, 557, have 128–137 publications. The last bar groups every scientist with 603 publications or more. The highlighted bar, 328–337 publications, is where this scientist sits. 38–47 publications: 5 scientists 48–57 publications: 33 scientists 58–67 publications: 94 scientists 68–77 publications: 161 scientists 78–87 publications: 278 scientists 88–97 publications: 376 scientists 98–107 publications: 404 scientists 108–117 publications: 484 scientists 118–127 publications: 540 scientists 128–137 publications: 557 scientists 138–147 publications: 491 scientists 148–157 publications: 495 scientists 158–167 publications: 458 scientists 168–177 publications: 490 scientists 178–187 publications: 414 scientists 188–197 publications: 401 scientists 198–207 publications: 333 scientists 208–217 publications: 292 scientists 218–227 publications: 290 scientists 228–237 publications: 262 scientists 238–247 publications: 243 scientists 248–257 publications: 208 scientists 258–267 publications: 185 scientists 268–277 publications: 147 scientists 278–287 publications: 128 scientists 288–297 publications: 119 scientists 298–307 publications: 120 scientists 308–317 publications: 107 scientists 318–327 publications: 93 scientists 328–337 publications: 87 scientists 338–347 publications: 64 scientists 348–357 publications: 87 scientists 358–367 publications: 60 scientists 368–377 publications: 60 scientists 378–387 publications: 34 scientists 388–397 publications: 50 scientists 398–407 publications: 44 scientists 408–417 publications: 31 scientists 418–427 publications: 39 scientists 428–437 publications: 27 scientists 438–447 publications: 36 scientists 448–457 publications: 27 scientists 458–467 publications: 29 scientists 468–477 publications: 30 scientists 478–487 publications: 19 scientists 488–497 publications: 15 scientists 498–507 publications: 18 scientists 508–517 publications: 19 scientists 518–527 publications: 16 scientists 528–537 publications: 10 scientists 538–547 publications: 11 scientists 548–557 publications: 14 scientists 558–567 publications: 11 scientists 568–577 publications: 7 scientists 578–587 publications: 14 scientists 588–597 publications: 5 scientists 598–602 publications: 4 scientists 603+ publications: 100 scientists
38–47 publications 603+

This scientist: 329 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 603 publications or more.

View publications distribution as a table
Number of Earth Science scientists by publication count, Research.com 2026 ranking edition. Based on 9,176 ranked scientists.
Publications Scientists This scientist
38–47 5
48–57 33
58–67 94
68–77 161
78–87 278
88–97 376
98–107 404
108–117 484
118–127 540
128–137 557
138–147 491
148–157 495
158–167 458
168–177 490
178–187 414
188–197 401
198–207 333
208–217 292
218–227 290
228–237 262
238–247 243
248–257 208
258–267 185
268–277 147
278–287 128
288–297 119
298–307 120
308–317 107
318–327 93
328–337 87 329
338–347 64
348–357 87
358–367 60
368–377 60
378–387 34
388–397 50
398–407 44
408–417 31
418–427 39
428–437 27
438–447 36
448–457 27
458–467 29
468–477 30
478–487 19
488–497 15
498–507 18
508–517 19
518–527 16
528–537 10
538–547 11
548–557 14
558–567 11
568–577 7
578–587 14
588–597 5
598–602 4
603+ 100
Download as CSV

David G. Tarboton D-index placement in Earth Science in 2026

The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2026. The highlighted bar marks where David G. Tarboton sits on this spectrum.

No. of scientists
100 200 300
Bar chart with 77 bars. Horizontal axis: D-Index, 30 to 106+. Vertical axis: number of scientists, 0 to 389. Most scientists, 389, have 36 D-Index. The last bar groups every scientist with 106 D-Index or more. The highlighted bar, 60 D-Index, is where this scientist sits. 30 D-Index: 144 scientists 31 D-Index: 215 scientists 32 D-Index: 278 scientists 33 D-Index: 379 scientists 34 D-Index: 366 scientists 35 D-Index: 372 scientists 36 D-Index: 389 scientists 37 D-Index: 366 scientists 38 D-Index: 344 scientists 39 D-Index: 349 scientists 40 D-Index: 296 scientists 41 D-Index: 289 scientists 42 D-Index: 277 scientists 43 D-Index: 279 scientists 44 D-Index: 248 scientists 45 D-Index: 257 scientists 46 D-Index: 212 scientists 47 D-Index: 202 scientists 48 D-Index: 207 scientists 49 D-Index: 204 scientists 50 D-Index: 183 scientists 51 D-Index: 178 scientists 52 D-Index: 182 scientists 53 D-Index: 178 scientists 54 D-Index: 163 scientists 55 D-Index: 117 scientists 56 D-Index: 163 scientists 57 D-Index: 120 scientists 58 D-Index: 113 scientists 59 D-Index: 136 scientists 60 D-Index: 135 scientists 61 D-Index: 96 scientists 62 D-Index: 103 scientists 63 D-Index: 83 scientists 64 D-Index: 103 scientists 65 D-Index: 83 scientists 66 D-Index: 89 scientists 67 D-Index: 92 scientists 68 D-Index: 89 scientists 69 D-Index: 78 scientists 70 D-Index: 75 scientists 71 D-Index: 53 scientists 72 D-Index: 62 scientists 73 D-Index: 54 scientists 74 D-Index: 35 scientists 75 D-Index: 52 scientists 76 D-Index: 50 scientists 77 D-Index: 32 scientists 78 D-Index: 37 scientists 79 D-Index: 20 scientists 80 D-Index: 33 scientists 81 D-Index: 36 scientists 82 D-Index: 34 scientists 83 D-Index: 34 scientists 84 D-Index: 24 scientists 85 D-Index: 19 scientists 86 D-Index: 18 scientists 87 D-Index: 26 scientists 88 D-Index: 30 scientists 89 D-Index: 17 scientists 90 D-Index: 21 scientists 91 D-Index: 19 scientists 92 D-Index: 15 scientists 93 D-Index: 14 scientists 94 D-Index: 20 scientists 95 D-Index: 9 scientists 96 D-Index: 10 scientists 97 D-Index: 15 scientists 98 D-Index: 13 scientists 99 D-Index: 3 scientists 100 D-Index: 13 scientists 101 D-Index: 3 scientists 102 D-Index: 9 scientists 103 D-Index: 4 scientists 104 D-Index: 6 scientists 105 D-Index: 6 scientists 106+ D-Index: 98 scientists
30 D-Index 106+

This scientist: 60 D-Index — 80th percentile

80% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 106 D-Index or more.

View D-Index distribution as a table
Number of Earth Science scientists by D-index, Research.com 2026 ranking edition. Based on 9,176 ranked scientists.
D-Index Scientists This scientist
30 144
31 215
32 278
33 379
34 366
35 372
36 389
37 366
38 344
39 349
40 296
41 289
42 277
43 279
44 248
45 257
46 212
47 202
48 207
49 204
50 183
51 178
52 182
53 178
54 163
55 117
56 163
57 120
58 113
59 136
60 135 60
61 96
62 103
63 83
64 103
65 83
66 89
67 92
68 89
69 78
70 75
71 53
72 62
73 54
74 35
75 52
76 50
77 32
78 37
79 20
80 33
81 36
82 34
83 34
84 24
85 19
86 18
87 26
88 30
89 17
90 21
91 19
92 15
93 14
94 20
95 9
96 10
97 15
98 13
99 3
100 13
101 3
102 9
103 4
104 6
105 6
106+ 98
Download as CSV

Research.com Recognitions

  • 2018 - Fellow of American Geophysical Union (AGU)

Overview

David G. Tarboton is affiliated with Utah State University in the United States. Their research activity focuses predominantly in the field of Environmental Science, with significant contributions to several subfields including Water Science and Technology, Global and Planetary Change, Information Systems and Management, Atmospheric Science, and Geology.

The scientist's work covers multiple interrelated topics, among which Hydrology and Watershed Management Studies stands out prominently. Other main topics include Scientific Computing and Data Management, Environmental Monitoring and Data Management, Cryospheric Studies and Observations, Hydrology and Drought Analysis, Hydrology and Sediment Transport Processes, as well as Research Data Management Practices.

David G. Tarboton has authored and co-authored papers published in a variety of journals, with repeated contributions to a core set of venues. Frequent publication venues include HydroShare Resources, Environmental Modelling & Software, Water Resources Research, Water, and Hydrological Processes.

  • HydroShare Resources
  • Environmental Modelling & Software
  • Water Resources Research
  • Water
  • Hydrological Processes

Recent published papers demonstrate a focus on hydrological modeling, data services, and environmental modeling. Key recent papers include:

  • "Forests and Water Yield: A Synthesis of Disturbance Effects on Streamflow and Snowpack in Western Coniferous Forests" (2020), Journal of Forestry
  • "Integrating hydrologic modeling web services with online data sharing to prepare, store, and execute hydrologic models" (2020), Environmental Modelling & Software
  • "Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model Application Programming Interfaces" (2020), Environmental Modelling & Software
  • "A taxonomy for reproducible and replicable research in environmental modelling" (2020), Environmental Modelling & Software
  • "HydroDS: Data services in support of physically based, distributed hydrological models" (2020), Environmental Modelling & Software

Collaboration is a notable aspect of this researcher's academic activity. Frequent co-authors include Irene Garousi-Nejad, Jonathan L. Goodall, Homa Salehabadi, Jeffery S. Horsburgh, and Shaowen Wang.

  • Irene Garousi-Nejad
  • Jonathan L. Goodall
  • Homa Salehabadi
  • Jeffery S. Horsburgh
  • Shaowen Wang

David G. Tarboton was recognized as a Fellow of the American Geophysical Union in 2018, an award reflecting standing within the broader geoscience research community.

Best Publications

  • A new method for the determination of flow directions and upslope areas in grid digital elevation models

    David G. Tarboton

  • On the extraction of channel networks from digital elevation data

    David G. Tarboton;Rafael L. Bras;Ignacio Rodriguez-Iturbe

  • Twenty-three unsolved problems in hydrology (UPH)–a community perspective

    Günter Blöschl;Marc F.P. Bierkens;Antonio Chambel;Christophe Cudennec

  • River restoration: OPINION

    Ellen Wohl;Paul L. Angermeier;Brian Bledsoe;G. Mathias Kondolf

  • 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

  • The fractal nature of river networks

    David G. Tarboton;Rafael L. Bras;Ignacio Rodriguez-Iturbe

  • The SINMAP Approach to Terrain Stability Mapping

    Robert T. Pack;David G. Tarboton;C. N. Goodwin

  • A Physical Basis for Drainage Density

    David G. Tarboton;Rafael L. Bras;Ignacio Rodriguez-Iturbe

  • Streamflow simulation: A nonparametric approach

    Ashish Sharma;David G. Tarboton;Upmanu L. Lall

  • Analyzing High Resolution Topography for Advancing the Understanding of Mass and Energy Transfer Through Landscapes: A Review

    Paola Passalacqua;Patrick Belmont;Dennis M. Staley;Jeffrey D. Simley

  • Utah Energy Balance Snow Accumulation and Melt Model (UEB)

    David G. Tarboton;Charles H. Luce

  • On Hack's Law

    Riccardo Rigon;Ignacio Rodriguez-Iturbe;Amos Maritan;Achille Giacometti

  • Scaling and Elevation in River Networks

    David G. Tarboton;Rafael L. Bras;Ignacio Rodriguez-Iturbe

  • Power law distributions of discharge mass and energy in river basins

    I. Rodriguez-Iturbe;E. J. Ijjasz-Vasquez;R. L. Bras;David G. Tarboton

  • The Influence of the Spatial Distribution of Snow on Basin-Averaged Snowmelt

    Charles H. Luce;David G. Tarboton;Keith R. Cooley

  • Advances in the mapping of flow networks from digital elevation data

    David G. Tarboton;Daniel P. Ames

  • A relational model for environmental and water resources data

    Jeffery S. Horsburgh;David G. Tarboton;David R. Maidment;Ilya Zaslavsky

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

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

  • Modeling soil depth from topographic and land cover attributes

    Teklu K. Tesfa;David G. Tarboton;David G. Chandler;James P. McNamara

  • Disaggregation Procedures for Stochastic Hydrology Based on Nonparametric Density Estimation

    David G. Tarboton;Ashish Sharma;Upmanu L. Lall

  • Terrain Analysis Using Digital Elevation Models in Hydrology

    David G. Tarboton

Frequent Co-Authors

David R. Maidment
David R. Maidment The University of Texas at Austin
Charles H. Luce
Charles H. Luce US Forest Service
Upmanu Lall
Upmanu Lall Columbia University
Shaowen Wang
Shaowen Wang University of Illinois at Urbana-Champaign
Venkatesh Merwade
Venkatesh Merwade Purdue University West Lafayette
Christopher M. U. Neale
Christopher M. U. Neale University of Nebraska–Lincoln
Erkan Istanbulluoglu
Erkan Istanbulluoglu University of Washington
Rafael L. Bras
Rafael L. Bras Georgia Institute of Technology
Balaji Rajagopalan
Balaji Rajagopalan University of Colorado Boulder
Emad Habib
Emad Habib University of Louisiana at Lafayette

External Links

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