Sim Reaney

3.2k total citations · 2 hit papers
44 papers, 2.4k citations indexed

About

Sim Reaney is a scholar working on Water Science and Technology, Environmental Chemistry and Global and Planetary Change. According to data from OpenAlex, Sim Reaney has authored 44 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Water Science and Technology, 17 papers in Environmental Chemistry and 17 papers in Global and Planetary Change. Recurrent topics in Sim Reaney's work include Hydrology and Watershed Management Studies (32 papers), Soil and Water Nutrient Dynamics (16 papers) and Soil erosion and sediment transport (13 papers). Sim Reaney is often cited by papers focused on Hydrology and Watershed Management Studies (32 papers), Soil and Water Nutrient Dynamics (16 papers) and Soil erosion and sediment transport (13 papers). Sim Reaney collaborates with scholars based in United Kingdom, United States and Ireland. Sim Reaney's co-authors include Louise J. Bracken, Stuart N. Lane, M. J. Kirkby, A. Louise Heathwaite, Geneviève Ali, John Wainwright, Mark W. Smith, Doerthe Tetzlaff, A. G. Roy and Gary N. Geller and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Water Resources Research.

In The Last Decade

Sim Reaney

42 papers receiving 2.3k citations

Hit Papers

Concepts of hydrological connectivity: Research approache... 2012 2026 2016 2021 2013 2012 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sim Reaney United Kingdom 22 1.4k 756 749 733 516 44 2.4k
Lachlan Newham Australia 19 1.2k 0.8× 861 1.1× 557 0.7× 623 0.8× 478 0.9× 54 2.7k
Timothy O. Randhir United States 27 1.2k 0.8× 897 1.2× 438 0.6× 321 0.4× 381 0.7× 124 2.5k
José Carlos de Araújo Brazil 32 1.4k 1.0× 863 1.1× 663 0.9× 879 1.2× 229 0.4× 118 2.5k
Wendy Merritt Australia 18 1.3k 0.9× 598 0.8× 610 0.8× 890 1.2× 207 0.4× 41 2.0k
Bethanna Jackson New Zealand 26 1.1k 0.8× 1.2k 1.6× 386 0.5× 501 0.7× 242 0.5× 61 2.3k
Glenn E. Moglen United States 31 1.6k 1.1× 1.4k 1.9× 705 0.9× 429 0.6× 219 0.4× 95 2.7k
Rui Li China 24 766 0.5× 710 0.9× 636 0.8× 1.1k 1.4× 154 0.3× 155 2.4k
Paul Quinn United Kingdom 22 1.0k 0.7× 841 1.1× 320 0.4× 394 0.5× 425 0.8× 59 1.7k
Chris S. Renschler United States 24 990 0.7× 738 1.0× 780 1.0× 1.3k 1.8× 170 0.3× 70 2.9k
Mark Stone United States 23 602 0.4× 390 0.5× 528 0.7× 323 0.4× 293 0.6× 88 1.5k

Countries citing papers authored by Sim Reaney

Since Specialization
Citations

This map shows the geographic impact of Sim Reaney'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 Sim Reaney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sim Reaney more than expected).

Fields of papers citing papers by Sim Reaney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sim Reaney. 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 Sim Reaney. The network helps show where Sim Reaney may publish in the future.

Co-authorship network of co-authors of Sim Reaney

This figure shows the co-authorship network connecting the top 25 collaborators of Sim Reaney. A scholar is included among the top collaborators of Sim Reaney 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 Sim Reaney. Sim Reaney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Rollason, Edward, et al.. (2020). A new framework for integrated, holistic, and transparent evaluation of inter-basin water transfer schemes. The Science of The Total Environment. 721. 137646–137646. 46 indexed citations
3.
Snell, M. A., Philip Barker, Ben Surridge, et al.. (2019). Strong and recurring seasonality revealed within stream diatom assemblages. Scientific Reports. 9(1). 3313–3313. 21 indexed citations
4.
Lane, Rosanna, Gemma Coxon, Jim Freer, et al.. (2019). Benchmarking the predictive capability of hydrological models for river flow and flood peak predictions across over 1000 catchments in Great Britain. Hydrology and earth system sciences. 23(10). 4011–4032. 82 indexed citations
5.
Quilliam, Richard S., et al.. (2019). High resolution characterisation of E. coli proliferation profiles in livestock faeces. Waste Management. 87. 537–545. 7 indexed citations
6.
Reaney, Sim, Eleanor B. Mackay, P. M. Haygarth, et al.. (2019). Identifying critical source areas using multiple methods for effective diffuse pollution mitigation. Journal of Environmental Management. 250. 109366–109366. 29 indexed citations
7.
Reaney, Sim, et al.. (2017). Predicting diffuse microbial pollution risk across catchments: The performance of SCIMAP and recommendations for future development. The Science of The Total Environment. 609. 456–465. 12 indexed citations
8.
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
9.
Oliver, David M., et al.. (2017). A catchment-scale model to predict spatial and temporal burden of E. coli on pasture from grazing livestock. The Science of The Total Environment. 616-617. 678–687. 14 indexed citations
10.
Reaney, Sim, C. Benskin, P. M. Haygarth, et al.. (2016). The Treatment Train approach to reducing non-point source pollution from agriculture. AGU Fall Meeting Abstracts. 2016. 1 indexed citations
11.
Ockenden, M.C., C. Deasy, C. Benskin, et al.. (2016). Changing climate and nutrient transfers: Evidence from high temporal resolution concentration-flow dynamics in headwater catchments. The Science of The Total Environment. 548-549. 325–339. 114 indexed citations
12.
Oliver, David M., Yakov Pachepsky, Richard Muirhead, et al.. (2015). Predicting microbial water quality with models: Over-arching questions for managing risk in agricultural catchments. The Science of The Total Environment. 544. 39–47. 57 indexed citations
13.
Jonczyk, Jennine, P. M. Haygarth, Paul Quinn, & Sim Reaney. (2014). The Influence of temporal sampling regime on the WFD classification of catchments within the Eden Demonstration Test Catchment Project. EGUGA. 13271. 1 indexed citations
14.
Reaney, Sim, et al.. (2014). Designing Schemes to Mitigate Non-Point Source Water Pollution from Agriculture: The Value of High-Resolution Hydrochemical and Hydrophysical Data. 2014 AGU Fall Meeting. 2014. 1 indexed citations
15.
Vitolo, Claudia, et al.. (2012). Cloud-enabled Web Applications for Environmental Modelling. AGUFM. 2012. 1 indexed citations
16.
Milledge, David, Stuart N. Lane, A. Louise Heathwaite, & Sim Reaney. (2012). A Monte Carlo approach to the inverse problem of diffuse pollution risk in agricultural catchments. The Science of The Total Environment. 433. 434–449. 29 indexed citations
17.
18.
Pattison, Ian, Stuart N. Lane, R. J. Hardy, & Sim Reaney. (2009). Importance of sub-catchments peak flow relative timing on downstream flood risk. EGU General Assembly Conference Abstracts. 9517. 1 indexed citations
19.
Reaney, Sim, Stuart N. Lane, & A. Louise Heathwaite. (2009). Simulating the Spatial Distribution of Hydrological Connectivity Under Possible Future Climates - Impacts on River Flow Dynamics and Non-Point Source Pollution.. Lancaster EPrints (Lancaster University). 1 indexed citations
20.
Milledge, David, et al.. (2009). SCIMAP:modelling diffuse pollution in large river basins. Lancaster EPrints (Lancaster University). 2009. 1 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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