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Gareth Pender 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 Gareth Pender sits on this spectrum.

38–42 publications: 1 scientists 43–47 publications: 0 scientists 48–52 publications: 3 scientists 53–57 publications: 8 scientists 58–62 publications: 11 scientists 63–67 publications: 16 scientists 68–72 publications: 24 scientists 73–77 publications: 31 scientists 78–82 publications: 49 scientists 83–87 publications: 77 scientists 88–92 publications: 86 scientists 93–97 publications: 88 scientists 98–102 publications: 92 scientists 103–107 publications: 84 scientists 108–112 publications: 102 scientists 113–117 publications: 108 scientists 118–122 publications: 117 scientists 123–127 publications: 126 scientists 128–132 publications: 146 scientists 133–137 publications: 114 scientists 138–142 publications: 102 scientists 143–147 publications: 127 scientists 148–152 publications: 102 scientists 153–157 publications: 112 scientists 158–162 publications: 102 scientists 163–167 publications: 127 scientists 168–172 publications: 121 scientists 173–177 publications: 112 scientists 178–182 publications: 109 scientists 183–187 publications: 98 scientists 188–192 publications: 92 scientists 193–197 publications: 105 scientists 198–202 publications: 77 scientists 203–207 publications: 80 scientists 208–212 publications: 89 scientists 213–217 publications: 70 scientists 218–222 publications: 74 scientists 223–227 publications: 74 scientists 228–232 publications: 70 scientists 233–237 publications: 67 scientists 238–242 publications: 59 scientists 243–247 publications: 67 scientists 248–252 publications: 51 scientists 253–257 publications: 46 scientists 258–262 publications: 41 scientists 263–267 publications: 39 scientists 268–272 publications: 34 scientists 273–277 publications: 39 scientists 278–282 publications: 35 scientists 283–287 publications: 36 scientists 288–292 publications: 35 scientists 293–297 publications: 29 scientists 298–302 publications: 23 scientists 303–307 publications: 39 scientists 308–312 publications: 34 scientists 313–317 publications: 23 scientists 318–322 publications: 18 scientists 323–327 publications: 18 scientists 328–332 publications: 21 scientists 333–337 publications: 20 scientists 338–342 publications: 15 scientists 343–347 publications: 13 scientists 348–352 publications: 24 scientists 353–357 publications: 25 scientists 358–362 publications: 10 scientists 363–367 publications: 20 scientists 368–372 publications: 17 scientists 373–377 publications: 18 scientists 378–382 publications: 15 scientists 383–387 publications: 7 scientists 388–392 publications: 22 scientists 393–397 publications: 9 scientists 398–402 publications: 11 scientists 403–407 publications: 16 scientists 408–412 publications: 4 scientists 413–417 publications: 5 scientists 418–422 publications: 14 scientists 423–427 publications: 8 scientists 428–432 publications: 7 scientists 433–437 publications: 7 scientists 438–442 publications: 10 scientists 443–447 publications: 10 scientists 448–452 publications: 3 scientists 453–457 publications: 9 scientists 458–462 publications: 11 scientists 463–467 publications: 4 scientists 468–472 publications: 6 scientists 473–477 publications: 11 scientists 478–482 publications: 8 scientists 483–487 publications: 2 scientists 488–492 publications: 3 scientists 493–497 publications: 4 scientists 498–502 publications: 4 scientists 503–507 publications: 4 scientists 508–509 publications: 4 scientists 510+ publications: 100 scientists
38 publications 510+

The last bar groups every scientist with 510 publications or more.

Gareth Pender 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 Gareth Pender sits on this spectrum.

30 D-Index: 15 scientists 31 D-Index: 42 scientists 32 D-Index: 60 scientists 33 D-Index: 90 scientists 34 D-Index: 103 scientists 35 D-Index: 108 scientists 36 D-Index: 142 scientists 37 D-Index: 147 scientists 38 D-Index: 147 scientists 39 D-Index: 152 scientists 40 D-Index: 143 scientists 41 D-Index: 157 scientists 42 D-Index: 141 scientists 43 D-Index: 151 scientists 44 D-Index: 140 scientists 45 D-Index: 135 scientists 46 D-Index: 121 scientists 47 D-Index: 108 scientists 48 D-Index: 128 scientists 49 D-Index: 111 scientists 50 D-Index: 106 scientists 51 D-Index: 112 scientists 52 D-Index: 102 scientists 53 D-Index: 103 scientists 54 D-Index: 94 scientists 55 D-Index: 61 scientists 56 D-Index: 101 scientists 57 D-Index: 71 scientists 58 D-Index: 65 scientists 59 D-Index: 78 scientists 60 D-Index: 93 scientists 61 D-Index: 56 scientists 62 D-Index: 58 scientists 63 D-Index: 52 scientists 64 D-Index: 63 scientists 65 D-Index: 49 scientists 66 D-Index: 53 scientists 67 D-Index: 57 scientists 68 D-Index: 50 scientists 69 D-Index: 44 scientists 70 D-Index: 44 scientists 71 D-Index: 31 scientists 72 D-Index: 33 scientists 73 D-Index: 33 scientists 74 D-Index: 23 scientists 75 D-Index: 32 scientists 76 D-Index: 24 scientists 77 D-Index: 17 scientists 78 D-Index: 19 scientists 79 D-Index: 9 scientists 80 D-Index: 21 scientists 81 D-Index: 20 scientists 82 D-Index: 17 scientists 83 D-Index: 19 scientists 84 D-Index: 19 scientists 85 D-Index: 14 scientists 86 D-Index: 6 scientists 87 D-Index: 14 scientists 88 D-Index: 17 scientists 89 D-Index: 10 scientists 90 D-Index: 8 scientists 91 D-Index: 8 scientists 92 D-Index: 9 scientists 93 D-Index: 6 scientists 94+ D-Index: 98 scientists
30 D-Index 94+

The last bar groups every scientist with 94 D-Index or more.

Research.com Recognitions

  • 2013 - Fellow of the Royal Academy of Engineering (UK)
  • 2007 - Fellow of the Royal Society of Edinburgh

Overview

Gareth Pender is affiliated with Heriot-Watt University in the United Kingdom. Their research spans the field of Environmental Science, with a focus on several subfields including Global and Planetary Change, Environmental Engineering, Water Science and Technology, Ecology, and Civil and Structural Engineering.

The scientist has contributed to topics such as Flood Risk Assessment and Management, Hydrological Forecasting Using AI, Hydrology and Watershed Management Studies, Hydrology and Sediment Transport Processes, Hydraulic Flow and Structures, Soil Erosion and Sediment Transport, and Landslides and Related Hazards.

Recent publications by Gareth Pender include:

  • A deep convolutional neural network model for rapid prediction of fluvial flood inundation, 2020, Journal of Hydrology
  • A machine learning approach for forecasting and visualising flood inundation information, 2020, Proceedings of the Institution of Civil Engineers - Water Management
  • Graded bed load transport in sediment supply limited channels under unsteady flow hydrographs, 2021, Journal of Hydrology
  • Hysteretic Implications for Graded Bed Load Sediment Transport in Symmetrical Hydrograph Flows, 2021, Frontiers in Environmental Science
  • Grain-energy release governs mobility of debris flow due to solid-liquid mass release, 2020, Earth Surface Processes and Landforms

Frequent co-authors collaborating with Gareth Pender include:

  • Syed Rezwan Kabir
  • Sandhya Patidar
  • Le Wang
  • Alan Cuthbertson
  • Xilin Xia

Gareth Pender has published multiple papers in various venues, with recurring appearances in the Journal of Hydrology, Proceedings of the Institution of Civil Engineers - Water Management, Frontiers in Environmental Science, and Earth Surface Processes and Landforms.

The scientist has been recognized with fellowships from notable institutions, including the Royal Academy of Engineering (UK) in 2013 and the Royal Society of Edinburgh in 2007.

Best Publications

  • Benchmarking 2D hydraulic models for urban flooding

    N.M. Hunter;P.D. Bates;S. Neelz;G. Pender

  • Computational Dam-Break Hydraulics over Erodible Sediment Bed

    Zhixian Cao;Gareth Pender;Steve Wallis;Paul Carling

  • A deep convolutional neural network model for rapid prediction of fluvial flood inundation

    Syed Kabir;Syed Kabir;Sandhya Patidar;Xilin Xia;Qiuhua Liang

  • Macroturbulent structure of open-channel flow over gravel beds

    Audrey B. Shvidchenko;Gareth Pender

  • Flume study of the effect of relative depth on the incipient motion of coarse uniform sediments

    Andrey B. Shvidchenko;Gareth Pender

  • Explicit Formulation of the Shields Diagram for Incipient Motion of Sediment

    Zhixian Cao;Zhixian Cao;Gareth Pender;Gareth Pender;Jian Meng;Jian Meng

  • Dam-break flows over mobile beds: experiments and benchmark tests for numerical models

    Sandra Soares-Frazão;Ricardo Canelas;Zhixian Cao;Luis Cea

  • Critical shear stress for incipient motion of sand/gravel streambeds

    Audrey B. Shvidchenko;Gareth Pender;Trevor B. Hoey

  • Landslide dam failure and flood hydraulics. Part I: experimental investigation

    Zhixian Cao;Zhixian Cao;Zhiyuan Yue;Gareth Pender

  • Landslide dam failure and flood hydraulics. Part II: coupled mathematical modelling

    Zhixian Cao;Zhixian Cao;Zhiyuan Yue;Gareth Pender

  • Three-Dimensional Hydrodynamics of Meandering Compound Channels

    H. Morvan;G. Pender;N. G. Wright;D. A. Ervine

  • Shallow water hydrodynamic models for hyperconcentrated sediment-laden floods over erodible bed

    Zhixian Cao;Gareth Pender;Paul Carling

  • Numerical modelling of turbidity currents in the Xiaolangdi reservoir, Yellow River, China

    Peng Hu;Zhixian Cao;Zhixian Cao;Gareth Pender;Gareth Pender;Guangming Tan

  • Stress history effects on graded bed stability

    Heather Haynes;Heather Haynes;Gareth Pender;Gareth Pender

  • Flume investigations into the influence of shear stress history on a graded sediment bed

    Heather Monteith;Gareth Pender

  • Use of computer models of flood inundation to facilitate communication in flood risk management

    Gareth Pender;Sylvain Néelz

  • Using remotely sensed data to support flood modelling

    S. Néelz;G. Pender;I. Villanueva;M. Wilson

  • A double layer-averaged model for dam-break flows over mobile bed

    Ji Li;Zhixian Cao;Gareth Pender;Qingquan Liu

  • Selective bedload transport during the degradation of a well sorted graded sediment bed

    Gareth Pender;Trevor B. Hoey;Chris Fuller;Ian K. Mcewan

  • Numerical modelling of alternate bar formation, development and sediment sorting in straight channels

    Honglu Qian;Zhixian Cao;Zhixian Cao;Huaihan Liu;Gareth Pender

Frequent Co-Authors

Zhixian Cao
Zhixian Cao Wuhan University
Nigel G. Wright
Nigel G. Wright University of Birmingham
Paul D Bates
Paul D Bates University of Bristol
Trevor B. Hoey
Trevor B. Hoey Brunel University London
David C. Mason
David C. Mason University of Reading
Paul A. Carling
Paul A. Carling University of Southampton
Alistair G.L. Borthwick
Alistair G.L. Borthwick University of Edinburgh
BinLiang Lin
BinLiang Lin Tsinghua University
Jeffrey C. Neal
Jeffrey C. Neal University of Bristol
Roger Alexander Falconer
Roger Alexander Falconer Cardiff University

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