Matthew Perks

2.7k total citations
31 papers, 883 citations indexed

About

Matthew Perks is a scholar working on Ecology, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Matthew Perks has authored 31 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ecology, 14 papers in Water Science and Technology and 14 papers in Global and Planetary Change. Recurrent topics in Matthew Perks's work include Hydrology and Sediment Transport Processes (17 papers), Hydrology and Watershed Management Studies (14 papers) and Flood Risk Assessment and Management (13 papers). Matthew Perks is often cited by papers focused on Hydrology and Sediment Transport Processes (17 papers), Hydrology and Watershed Management Studies (14 papers) and Flood Risk Assessment and Management (13 papers). Matthew Perks collaborates with scholars based in United Kingdom, Italy and Austria. Matthew Perks's co-authors include Andrew J. Russell, Andrew R. G. Large, Alonso Pizarro, Salvatore Manfreda, Louise J. Bracken, Jennine Jonczyk, C. Benskin, C. Deasy, P. M. Haygarth and Paul Quinn and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Resources Research.

In The Last Decade

Matthew Perks

29 papers receiving 861 citations

Peers

Matthew Perks

WST

ECOLO

GPC

Jakub Langhammer Czechia

Hervé Yesou France

Els Knaeps Belgium

Guillaume Dramais France

Wenxia Gan China

Sophie Leguédois France

Evangelos Spyrakos United Kingdom

Ian Maddock United Kingdom

Janet Anstee Australia

B. T. Overstreet United States

Jakub Langhammer Czechia

Matthew Perks

297 ×0.8

WST

476 ×1.3

ECOLO

463 ×1.3

GPC

455 ×2.1

71 ×0.4

Citations per year, relative to Matthew Perks Matthew Perks (= 1×) peers Jakub Langhammer

Countries citing papers authored by Matthew Perks

Since Specialization

Citations

This map shows the geographic impact of Matthew Perks's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Matthew Perks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Perks more than expected).

Fields of papers citing papers by Matthew Perks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Perks. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Matthew Perks. The network helps show where Matthew Perks may publish in the future.

Co-authorship network of co-authors of Matthew Perks

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Perks. A scholar is included among the top collaborators of Matthew Perks based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew Perks. Matthew Perks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hortobágyi, Borbála, et al.. (2022). Using Noncontact Measurement of Water Surface Dynamics to Estimate River Discharge. Water Resources Research. 58(9). 15 indexed citations

Strelnikova, Dariia, Matthew Perks, Anette Eltner, et al.. (2021). A comparison of tools and techniques for stabilising unmanned aerial system (UAS) imagery for surface flow observations. Hydrology and earth system sciences. 25(9). 5105–5132. 17 indexed citations

Sasso, Silvano Fortunato Dal, et al.. (2021). Seeding metrics for image velocimetry performances in rivers. 1 indexed citations

Strelnikova, Dariia, Matthew Perks, Anette Eltner, et al.. (2021). A comparison of tools and techniques for stabilising UAS imagery for surface flow observations. 7 indexed citations

Pizarro, Alonso, Silvano Fortunato Dal Sasso, Matthew Perks, & Salvatore Manfreda. (2020). Spatial distribution of tracers for optical sensing of stream surface flow. 7 indexed citations

Peña‐Haro, Salvador, Matthew Perks, Flavia Tauro, et al.. (2020). An Evaluation of Image Velocimetry Techniques under Low Flow Conditions and High Seeding Densities Using Unmanned Aerial Systems. Remote Sensing. 12(2). 232–232. 70 indexed citations

Pizarro, Alonso, Silvano Fortunato Dal Sasso, Matthew Perks, & Salvatore Manfreda. (2020). Identifying the optimal spatial distribution of tracers for optical sensing of stream surface flow. Hydrology and earth system sciences. 24(11). 5173–5185. 30 indexed citations

Peña‐Haro, Salvador, Matthew Perks, Flavia Tauro, et al.. (2020). An evaluation of image velocimetry techniques under low flow conditions and high seeding densities using Unmanned Aerial Systems. 24 indexed citations

Perks, Matthew. (2020). KLT-IV v1.0: image velocimetry software for use with fixed and mobile platforms. Geoscientific model development. 13(12). 6111–6130. 33 indexed citations

10.

Mayes, William M., et al.. (2020). Effect of an extreme flood event on solute transport and resilience of a mine water treatment system in a mineralised catchment. The Science of The Total Environment. 750. 141693–141693. 17 indexed citations

11.

Manfreda, Salvatore, Petr Dvořák, Jana Müllerová, et al.. (2019). Assessing the Accuracy of Digital Surface Models Derived from Optical Imagery Acquired with Unmanned Aerial Systems. Drones. 3(1). 15–15. 47 indexed citations

12.

Skinner, Chris, Greg O’Donnell, Robert J. Thompson, et al.. (2019). Recommendations for Improving Integration in National End-to-End Flood Forecasting Systems: An Overview of the FFIR (Flooding From Intense Rainfall) Programme. Water. 11(4). 725–725. 31 indexed citations

13.

Perks, Matthew, Jeff Warburton, Louise J. Bracken, et al.. (2017). Use of spatially distributed time-integrated sediment sampling networks and distributed fine sediment modelling to inform catchment management. Journal of Environmental Management. 202(Pt 2). 469–478. 15 indexed citations

14.

Perks, Matthew, Andrew J. Russell, & Andrew R. G. Large. (2016). Advances in flash flood monitoring using UAVs. EGUGA. 1 indexed citations

15.

Perks, Matthew, Andrew J. Russell, & Andrew R. G. Large. (2016). Technical Note: Advances in flash flood monitoring using UAVs. 5 indexed citations

16.

Perks, Matthew & Jeff Warburton. (2016). Reduced fine sediment flux and channel change in response to the manageddiversion of an upland river channel. Earth Surface Dynamics. 4(3). 705–719. 2 indexed citations

17.

Perks, Matthew, Andrew J. Russell, & Andrew R. G. Large. (2016). Technical Note: Advances in flash flood monitoring using unmanned aerialvehicles (UAVs). Hydrology and earth system sciences. 20(10). 4005–4015. 118 indexed citations

18.

Adams, Russell, et al.. (2016). Simulating high frequency water quality monitoring data using a catchment runoff attenuation flux tool (CRAFT). The Science of The Total Environment. 572. 1622–1635. 7 indexed citations

19.

Perks, Matthew, C. Benskin, Jennine Jonczyk, et al.. (2015). Dominant mechanisms for the delivery of fine sediment and phosphorus to fluvial networks draining grassland dominated headwater catchments. The Science of The Total Environment. 523. 178–190. 58 indexed citations

20.

Lloyd, Charlotte, Jennine Jonczyk, C. Benskin, et al.. (2014). High-frequency monitoring of nitrogen and phosphorus response in three rural catchments to the end of the 2011–2012 drought in England. Hydrology and earth system sciences. 18(9). 3429–3448. 105 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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