Trevor Hoey

Trevor Hoey

Brunel University London

H-index: 40

Europe-United Kingdom

About Trevor Hoey

Trevor Hoey, With an exceptional h-index of 40 and a recent h-index of 25 (since 2020), a distinguished researcher at Brunel University London, specializes in the field of geomorphology, sediment transport, bedrock rivers.

His recent articles reflect a diverse array of research interests and contributions to the field:

Surface roughness: capturing rough-bed river diversity

Measuring flow resistance in rough-bed rivers using flume and CFD approaches

Using delta channel width to estimate paleodischarge in the rock record: geometric scaling and practical sampling criteria

National-scale geodatabase of catchment characteristics in the Philippines for river management applications

Seasonal and annual tropical river pattern change detection using machine learning

Down‐delta hydraulic geometry and its application to the rock record

Coalition for Disaster Resilient Infrastructure (CDRI) 2022 Conference Proceedings

‘InfraRivChange’: a web application to monitor river migration at sites of critical bridge infrastructure in the Philippines

Trevor Hoey Information

University

Position

Professor of River Science

Citations(all)

4996

Citations(since 2020)

1819

Cited By

3871

hIndex(all)

40

hIndex(since 2020)

25

i10Index(all)

63

i10Index(since 2020)

46

Email

University Profile Page

Google Scholar

Trevor Hoey Skills & Research Interests

geomorphology

sediment transport

bedrock rivers

Top articles of Trevor Hoey

Surface roughness: capturing rough-bed river diversity

2024/3/7

Measuring flow resistance in rough-bed rivers using flume and CFD approaches

2024/3/7

Using delta channel width to estimate paleodischarge in the rock record: geometric scaling and practical sampling criteria

Journal of Sedimentary Research

2024/2/29

National-scale geodatabase of catchment characteristics in the Philippines for river management applications

Plos one

2023/3/8

Seasonal and annual tropical river pattern change detection using machine learning

2023/2/27

Down‐delta hydraulic geometry and its application to the rock record

Sedimentology

2023/2

Coalition for Disaster Resilient Infrastructure (CDRI) 2022 Conference Proceedings

Sustainable and Resilient Infrastructure

2023/1/27

Richard Williams
Richard Williams

H-Index: 2

Trevor Hoey
Trevor Hoey

H-Index: 25

‘InfraRivChange’: a web application to monitor river migration at sites of critical bridge infrastructure in the Philippines

Sustainable and Resilient Infrastructure

2023/5

Fluvial geomorphology and landscape morphology: reconciling concepts across timescales

Scottish Geographical Journal

2023/10/2

First order controls of avulsion in river deltas

Authorea Preprints

2023/9/13

KIVI the smartest of pebbles

Proceedings of the 40th IAHR World Congress

2023/8

Analysis of the fluvial stratigraphic response to the Paleocene–Eocene Thermal Maximum in the Bighorn Basin, USA

Journal of Sedimentary Research

2023/5/31

River pattern planform dynamics as satellite-derived locational probabilities

2023/2/22

Unstable Flow Controls on River Delta Growth: Can River Deltas be Self-Sustaining?

Fall Meeting 2022

2022/12/15

The role of the topset slope in autogenically controlling avulsion and bifurcation timescales in river deltas

Authorea Preprints

2022/11/21

Landform classification through downscaling approaches for the Bislak, Laoag and Abra Rivers, the Philippines

2022/10/26

Enhancing performance of multi-temporal tropical river landform classification through downscaling approaches

International Journal of Remote Sensing

2022/9/2

Practical sampling criteria for using delta channel width to estimate paleodischarge in the rock record

2022/9/1

Development of an SDG interlinkages analysis model at the river basin scale: a case study in the Luanhe River Basin, China

2022/7

Inter-annual river patterns change detection using machine learning

2022/3/25

See List of Professors in Trevor Hoey University(Brunel University London)

Co-Authors

academic-engine