World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Earth Science 64 1464 1303 150 133 206 18495

Ross Woods publications per year

The chart shows the history of publications by Ross Woods between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ross Woods published across 38 years, from 1988 to 2025, averaging 7.9 papers a year. Output peaked at 19 publications in 2017. 29 of the 301 publications appeared in the last two years.

No. of publications
5 10 15
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 19. Peak 19 publications in 2017. 1988: 1 publication 1989: 0 publications 1990: 1 publication 1991: 0 publications 1992: 0 publications 1993: 1 publication 1994: 0 publications 1995: 3 publications 1996: 2 publications 1997: 9 publications 1998: 3 publications 1999: 4 publications 2000: 1 publication 2001: 5 publications 2002: 9 publications 2003: 4 publications 2004: 10 publications 2005: 2 publications 2006: 3 publications 2007: 9 publications 2008: 8 publications 2009: 10 publications 2010: 9 publications 2011: 6 publications 2012: 3 publications 2013: 15 publications 2014: 10 publications 2015: 11 publications 2016: 13 publications 2017: 19 publications 2018: 14 publications 2019: 16 publications 2020: 18 publications 2021: 19 publications 2022: 16 publications 2023: 18 publications 2024: 14 publications 2025: 15 publications
1988 2025

301 publications in total across all disciplines

View publications per year as a table
Ross Woods: publications per year, 1988 to 2025
Year Publications
1988 1
1989 0
1990 1
1991 0
1992 0
1993 1
1994 0
1995 3
1996 2
1997 9
1998 3
1999 4
2000 1
2001 5
2002 9
2003 4
2004 10
2005 2
2006 3
2007 9
2008 8
2009 10
2010 9
2011 6
2012 3
2013 15
2014 10
2015 11
2016 13
2017 19
2018 14
2019 16
2020 18
2021 19
2022 16
2023 18
2024 14
2025 15
Total 301
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Ross Woods 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 Ross Woods 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, 198–207 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: 206 publications — 65th percentile

65% 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
198–207 333 206
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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Ross Woods 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 Ross Woods 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, 64 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: 64 D-Index — 84th percentile

84% 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
61 96
62 103
63 83
64 103 64
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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Overview

Ross Woods is affiliated with the University of Bristol in the United Kingdom. Their research primarily intersects the fields of Environmental Science and Earth and Planetary Sciences, with a particular focus on Water Science and Technology, Global and Planetary Change, and Atmospheric Science. Their subfields also include Environmental Engineering and Ecology.

The scientist's work covers a range of topics centered on hydrology and watershed management studies. They have contributed to flood risk assessment and management, hydrology and drought analysis, and cryospheric studies and observations. Additional areas of interest include climate change and permafrost, groundwater flow and contamination studies, and hydrological forecasting using artificial intelligence.

Some of Ross Woods's recent publications reflect extensive collaboration and engagement in hydrological and environmental research. Notable papers include:

  • "CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain", 2020, Earth System Science Data
  • "A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments", 2020, Water Resources Research
  • "How Do Climate and Catchment Attributes Influence Flood Generating Processes? A Large-Sample Study for 671 Catchments Across the Contiguous USA", 2021, Water Resources Research
  • "Including Regional Knowledge Improves Baseflow Signature Predictions in Large Sample Hydrology", 2020, Water Resources Research
  • "Streamflow seasonality in a snow-dwindling world", 2024, Nature

Ross Woods frequently collaborates with several researchers, including Nicholas Howden, Gemma Coxon, Thorsten Wagener, Sebastian Gnann, and Hilary McMillan.

Their research appears regularly in prominent venues such as Water Resources Research, Hydrological Processes, Journal of Hydrology, Hydrology and Earth System Sciences, and Zenodo (CERN European Organization for Nuclear Research).

Best Publications

  • A decade of Predictions in Ungauged Basins (PUB)—a review

    M. Hrachowitz;H. H. G. Savenije;G. Blöschl;J. J. Mcdonnell

  • Technical note: Inherent benchmark or not? Comparing Nash-Sutcliffe and Kling-Gupta efficiency scores

    Wouter J. M. Knoben;Wouter J. M. Knoben;Jim E. Freer;Ross A. Woods

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

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

  • Catchment Classification and Hydrologic Similarity

    Thorsten Wagener;Murugesu Sivapalan;Peter A. Troch;Ross A Woods

  • A precipitation shift from snow towards rain leads to a decrease in streamflow

    W. R. Berghuijs;W. R. Berghuijs;R. A. Woods;M. Hrachowitz

  • Climate change and mountain water resources: overview and recommendations for research, management and policy

    Daniel Viviroli;Daniel Viviroli;D R Archer;W Buytaert;H J Fowler

  • Framework for Understanding Structural Errors (FUSE): A modular framework to diagnose differences between hydrological models

    Martyn P. Clark;Andrew G. Slater;David E. Rupp;Ross A. Woods

  • Hydrological data assimilation with the ensemble Kalman filter: Use of streamflow observations to update states in a distributed hydrological model

    Martyn P. Clark;David E. Rupp;Ross A. Woods;Xiaogu Zheng

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

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

  • Representing spatial variability of snow water equivalent in hydrologic and land-surface models: A review

    Martyn P. Clark;Jordy Hendrikx;Andrew G. Slater;Dmitri Kavetski

  • Dominant flood generating mechanisms across the United States

    Wouter Berghuijs;Ross Woods;Christopher Hutton;Murugesu Sivapalan

  • The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism

    Martyn P. Clark;Marc F. P. Bierkens;Luis Samaniego;Ross A. Woods

  • Rainfall uncertainty in hydrological modelling: An evaluation of multiplicative error models

    Hilary McMillan;Bethanna Jackson;Martyn Clark;Dmitri Kavetski

  • On the need for catchment classification

    Jeffrey J. McDonnell;Ross Woods

  • Patterns of similarity of seasonal water balances: A window into streamflow variability over a range of time scales

    Wouter R. Berghuijs;Wouter R. Berghuijs;Murugesu Sivapalan;Ross A. Woods;Hubert H. G. Savenije

  • Climate and landscape controls on water balance model complexity over changing timescales

    S. E. Atkinson;R. A. Woods;M. Sivapalan

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

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

  • A novel framework for discharge uncertainty quantification applied to 500 UK gauging stations.

    Gemma Coxon;Jim E Freer;Ida K Westerberg;Thorsten Wagener

  • CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain

    Gemma Coxon;Nans Addor;Nans Addor;John P. Bloomfield;Jim Freer;Jim Freer

  • A synthesis of space-time variability in storm response: Rainfall, runoff generation, and routing

    Ross Woods;Murugesu Sivapalan

  • Freshwaters of New Zealand

    R.P. Ibbitt;A.I. McKerchar;Ross Woods

  • Hydrological Data Assimilation with the Ensemble Kalman Filter: Use of Streamflow Observations to Update States in a Distributed Hydrological Model

    R. P. Ibbitt;M. P. Clark;R. A. Woods;X. Zheng

Frequent Co-Authors

Jim Freer
Jim Freer University of Bristol
Martyn P. Clark
Martyn P. Clark University of Saskatchewan
Thorsten Wagener
Thorsten Wagener University of Potsdam
Murugesu Sivapalan
Murugesu Sivapalan University of Illinois at Urbana-Champaign
Hubert H. G. Savenije
Hubert H. G. Savenije Delft University of Technology
Alberto Viglione
Alberto Viglione Polytechnic University of Turin
Nicholas J K Howden
Nicholas J K Howden University of Bristol
Christa D. Peters-Lidard
Christa D. Peters-Lidard Goddard Space Flight Center

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