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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Earth Science 42 5226 4827 1957 1739 103 7043

Todd H. Skaggs publications per year

The chart shows the history of publications by Todd H. Skaggs between 1991 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Todd H. Skaggs published across 36 years, from 1991 to 2026, averaging 4.1 papers a year. Output peaked at 10 publications in 2018. 8 of the 148 publications appeared in the last two years.

No. of publications
2 4 6 8 10
Bar chart. Horizontal axis: year, 1991 to 2026. Vertical axis: number of publications, 0 to 10. Peak 10 publications in 2018. 1991: 1 publication 1992: 0 publications 1993: 1 publication 1994: 1 publication 1995: 3 publications 1996: 5 publications 1997: 1 publication 1998: 5 publications 1999: 0 publications 2000: 2 publications 2001: 4 publications 2002: 0 publications 2003: 1 publication 2004: 5 publications 2005: 4 publications 2006: 5 publications 2007: 1 publication 2008: 4 publications 2009: 8 publications 2010: 7 publications 2011: 2 publications 2012: 2 publications 2013: 9 publications 2014: 5 publications 2015: 7 publications 2016: 6 publications 2017: 7 publications 2018: 10 publications 2019: 7 publications 2020: 4 publications 2021: 6 publications 2022: 5 publications 2023: 7 publications 2024: 5 publications 2025: 7 publications 2026: 1 publication
1991 2026

148 publications in total across all disciplines

View publications per year as a table
Todd H. Skaggs: publications per year, 1991 to 2026
Year Publications
1991 1
1992 0
1993 1
1994 1
1995 3
1996 5
1997 1
1998 5
1999 0
2000 2
2001 4
2002 0
2003 1
2004 5
2005 4
2006 5
2007 1
2008 4
2009 8
2010 7
2011 2
2012 2
2013 9
2014 5
2015 7
2016 6
2017 7
2018 10
2019 7
2020 4
2021 6
2022 5
2023 7
2024 5
2025 7
2026 1
Total 148
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Todd H. Skaggs 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 Todd H. Skaggs 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, 98–107 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: 103 publications — 13th percentile

13% 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
98–107 404 103
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
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
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Todd H. Skaggs 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 Todd H. Skaggs 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, 42 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: 42 D-Index — 44th percentile

44% 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 42
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
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
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Research.com Recognitions

  • 2018 - Fellow of the Soil Science Society of America (SSSA)

Overview

Todd H. Skaggs is affiliated with the US Department of Agriculture in the United States. Their research primarily spans the fields of Environmental Science and Agricultural and Biological Sciences, with a particular focus on several subfields including Environmental Engineering, Global and Planetary Change, Civil and Structural Engineering, Plant Science, and Soil Science.

The scientist's work concentrates on a range of topics related to soil and water management. These include:

  • Soil and Unsaturated Flow
  • Plant Water Relations and Carbon Dynamics
  • Irrigation Practices and Water Management
  • Soil Moisture and Remote Sensing
  • Remote Sensing in Agriculture
  • Soil Geostatistics and Mapping
  • RNA Research and Splicing

Skaggs has contributed multiple papers to various peer-reviewed journals. Some of their recent publications are:

  • "Dynamic Management Zones for Irrigation Scheduling," 2020, Agricultural Water Management
  • "Flux variance similarity-based partitioning of evapotranspiration over a rainfed alfalfa field using high frequency eddy covariance data," 2020, Agricultural and Forest Meteorology
  • "Morphological, physiological, biochemical, and transcriptome studies reveal the importance of transporters and stress signaling pathways during salinity stress in Prunus," 2022, Scientific Reports
  • "Relationships among soil moisture at various depths under diverse climate, land cover and soil texture," 2024, The Science of The Total Environment
  • "Ensemble HYDRUS-2D modeling to improve apparent electrical conductivity sensing of soil salinity under drip irrigation," 2022, Agricultural Water Management

The scientist frequently publishes in the following venues:

  • Agricultural Water Management
  • Agricultural and Forest Meteorology
  • Water Resources Research
  • Soil Systems
  • Irrigation Science

In collaboration, Todd H. Skaggs works repeatedly with several co-authors, including:

  • Elia Scudiero
  • Ray G. Anderson
  • Jorge Ferreira
  • Devinder Sandhu
  • Donald L. Suarez

Among the recognitions received, Skaggs was named a Fellow of the Soil Science Society of America (SSSA) in 2018.

Best Publications

  • Comparison of HYDRUS-2D simulations of drip irrigation with experimental observations

    T. H. Skaggs;T. J. Trout;J. Simunek;P. J. Shouse

  • Critical knowledge gaps and research priorities in global soil salinity

    Jan W. Hopmans;A.S. Qureshi;I. Kisekka;R. Munns;R. Munns

  • Spatio-temporal evolution and time-stable characteristics of soil moisture within remote sensing footprints with varying soil, slope, and vegetation

    B.P Mohanty;T.H Skaggs

  • Recovering the release history of a groundwater contaminant

    Todd H. Skaggs;Z. J. Kabala

  • Reviews and syntheses: Turning the challenges of partitioning ecosystem evaporation and transpiration into opportunities

    Paul C. Stoy;Paul C. Stoy;Tarek S. El-Madany;Joshua B. Fisher;Joshua B. Fisher;Pierre Gentine

  • Macroscopic approaches to root water uptake as a function of water and salinity stress

    Todd H. Skaggs;Martinus Th. van Genuchten;Peter J. Shouse;James A. Poss

  • Regional-scale soil salinity assessment using Landsat ETM + canopy reflectance

    Elia Scudiero;Todd H. Skaggs;Dennis L. Corwin

  • Analytical Solutions for Solute Transport in Three-Dimensional Semi-infinite Porous Media

    Feike J. Leij;Todd H. Skaggs;Martinus Th. Van Genuchten

  • Frequency Dependence of the Complex Permittivity and Its Impact on Dielectric Sensor Calibration in Soils

    T. J. Kelleners;D. A. Robinson;P. J. Shouse;J. E. Ayars

  • Recovering the History of a Groundwater Contaminant Plume: Method of Quasi‐Reversibility

    Todd H. Skaggs;Z. J. Kabala

  • A root zone modelling approach to estimating groundwater recharge from irrigated areas

    J. Jiménez-Martínez;J. Jiménez-Martínez;T.H. Skaggs;M.Th. van Genuchten;L. Candela

  • Estimating Particle-Size Distribution from Limited Soil Texture Data

    T. H. Skaggs;L. M. Arya;P. J. Shouse;B. P. Mohanty

  • Measured and simulated soil wetting patterns under porous clay pipe sub-surface irrigation.

    A.A. Siyal;Todd H. Skaggs

  • Regional scale soil salinity evaluation using Landsat 7, western San Joaquin Valley, California, USA

    Elia Scudiero;Todd H. Skaggs;Dennis L. Corwin

  • Drip irrigation water distribution patterns: effects of emitter rate, pulsing, and antecedent water.

    Todd H. Skaggs;Thomas J. Trout;Youri Rothfuss

  • Calibration of Capacitance Probe Sensors using Electric Circuit Theory

    T. J. Kelleners;R. W. O. Soppe;D. A. Robinson;M. G. Schaap

  • Analysis and mapping of field-scale soil moisture variability using high-resolution, ground-based data during the Southern Great Plains 1997 (SGP97) Hydrology Experiment

    B. P. Mohanty;T. H. Skaggs;J. S. Famiglietti

  • Evolution of soil moisture spatial structure in a mixed vegetation pixel during the Southern Great Plains 1997 (SGP97) Hydrology Experiment

    B. P. Mohanty;J. S. Famiglietti;T. H. Skaggs

  • Analytical solution for one-dimensional advection-dispersion transport equation with distance-dependent coefficients

    J.S. Pérez Guerrero;T.H. Skaggs

  • Calibration of capacitance probe sensors in a saline silty clay soil

    T. J. Kelleners;R. W. O. Soppe;J. E. Ayars;T. H. Skaggs

  • Monitoring and validating spatially and temporally continuous daily evaporation and transpiration at river basin scale

    Lisheng Song;Lisheng Song;Shaomin Liu;William P. Kustas;Hector Nieto

Frequent Co-Authors

Dennis L. Corwin
Dennis L. Corwin Agricultural Research Service
Peter J. Shouse
Peter J. Shouse Agricultural Research Service
M. Th. van Genuchten
M. Th. van Genuchten Federal University of Rio de Janeiro
James E. Ayars
James E. Ayars Agricultural Research Service
Donald L. Suarez
Donald L. Suarez Agricultural Research Service
Binayak P. Mohanty
Binayak P. Mohanty Texas A&M University
Feike J. Leij
Feike J. Leij California State University, Long Beach
David Andrew Barry
David Andrew Barry École Polytechnique Fédérale de Lausanne
Scott A. Bradford
Scott A. Bradford Agricultural Research Service
William P. Kustas
William P. Kustas Agricultural Research Service

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