S. R. Mounce

1.7k total citations
58 papers, 1.3k citations indexed

About

S. R. Mounce is a scholar working on Civil and Structural Engineering, Environmental Engineering and Water Science and Technology. According to data from OpenAlex, S. R. Mounce has authored 58 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Civil and Structural Engineering, 24 papers in Environmental Engineering and 22 papers in Water Science and Technology. Recurrent topics in S. R. Mounce's work include Water Systems and Optimization (47 papers), Water Quality Monitoring Technologies (20 papers) and Urban Stormwater Management Solutions (13 papers). S. R. Mounce is often cited by papers focused on Water Systems and Optimization (47 papers), Water Quality Monitoring Technologies (20 papers) and Urban Stormwater Management Solutions (13 papers). S. R. Mounce collaborates with scholars based in United Kingdom, Netherlands and Switzerland. S. R. Mounce's co-authors include Joby Boxall, John Machell, Richard Mounce, A.S. Wood, A J Day, Vanessa Speight, Will Shepherd, Tom Jackson, Andrew Day and James Shucksmith and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Modelling & Software and Information Fusion.

In The Last Decade

S. R. Mounce

57 papers receiving 1.3k citations

Peers

S. R. Mounce

CSE

WST

HTM

Daniele Laucelli Italy

Ami Preis Israel

Angus R. Simpson Australia

Lina Perelman Israel

Luigi Berardi Italy

Donghwi Jung South Korea

Bruno Brentan Brazil

Ali Haghighi Iran

G. A. Walters United Kingdom

Qingzhou Zhang China

Daniele Laucelli Italy

S. R. Mounce

1.3k ×1.1

CSE

391 ×0.9

WST

483 ×1.6

328 ×1.2

342 ×1.3

HTM

Citations per year, relative to S. R. Mounce S. R. Mounce (= 1×) peers Daniele Laucelli

Countries citing papers authored by S. R. Mounce

Since Specialization

Citations

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

Fields of papers citing papers by S. R. Mounce

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. R. Mounce. 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 S. R. Mounce. The network helps show where S. R. Mounce may publish in the future.

Co-authorship network of co-authors of S. R. Mounce

This figure shows the co-authorship network connecting the top 25 collaborators of S. R. Mounce. A scholar is included among the top collaborators of S. R. Mounce 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 S. R. Mounce. S. R. Mounce 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

Mounce, S. R., Richard Mounce, & Joby Boxall. (2025). AI-Augmented Water Quality Event Response: The Role of Generative Models for Decision Support. Water. 17(22). 3260–3260.

Shepherd, W., et al.. (2017). CCWI2017: F88 'Optimising a Fuzzy Logic Real-Time Control System for Sewer Flooding Reduction using a Genetic Algorithm'. TeesRep (Teesside University). 1 indexed citations

Shepherd, Will, et al.. (2017). Real Time Flow Control To Utilise Existing In-Sewer Storage. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

Mounce, S. R., et al.. (2015). Interpreting and Estimating the Risk of Iron Failures. Procedia Engineering. 119. 299–308. 3 indexed citations

Douterelo, Isabel, et al.. (2014). Controlled, Realistic-scale, Experimental Study of How the Quantity and Erodibility of Discolouration Material Varies with Shear Strength. Procedia Engineering. 89. 135–142. 3 indexed citations

Mounce, S. R., et al.. (2014). Self-Organizing Maps For Knowledge Discovery From Corporate Databases To Develop Risk Based Prioritization For Stagnation. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 1 indexed citations

Mounce, S. R., Richard Mounce, & Joby Boxall. (2014). Case-Based Reasoning Approach For Managing Water Quality Incidents In Distribution Systems. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 1 indexed citations

Machell, John, et al.. (2014). Online data processing for proactive UK water distribution network operation. SHILAP Revista de lepidopterología. 7(1). 23–33. 6 indexed citations

Mounce, S. R., Richard Mounce, Tom Jackson, J. Austin, & Joby Boxall. (2013). Pattern matching and associative artificial neural networks for water distribution system time series data analysis. Journal of Hydroinformatics. 16(3). 617–632. 46 indexed citations

10.

Mounce, S. R., et al.. (2012). Analysis of multi-parameter water quality data using event detection software on laboratory simulated events. 1018. 2 indexed citations

11.

Mounce, S. R., Henriette Stokbro Jensen, Catherine A. Biggs, & Joby Boxall. (2012). Data mining T-RFLP profiles from urban water system sampling using self-organizing maps. 17. 212–216. 1 indexed citations

12.

Mounce, S. R., et al.. (2011). Field Validation of "Optimal" Instrumentation Methodology for Burst/Leak Detection and Location. 132. 1093–1102. 8 indexed citations

13.

Mounce, S. R., et al.. (2010). Knowledge management for more sustainable water systems. Journal of Information Technology in Construction. 15(11). 140–148. 10 indexed citations

14.

Machell, John, S. R. Mounce, & Joby Boxall. (2010). Online modelling of water distribution systems: a UK case study. SHILAP Revista de lepidopterología. 3(1). 21–27. 52 indexed citations

15.

Mounce, S. R. & Joby Boxall. (2010). Implementation of an on-line artificial intelligence district meter area flow meter data analysis system for abnormality detection: a case study. Water Science & Technology Water Supply. 10(3). 437–444. 24 indexed citations

16.

Mounce, S. R., et al.. (2010). Field testing of optimal sensor placement and data analysis methodologies for burst detection and location in an urban water network. 1258–1265. 6 indexed citations

17.

Boxall, Joby, et al.. (2009). Optimal Locations of Pressure Meters for Burst Detection. 131. 1–11. 6 indexed citations

18.

Mounce, S. R., John Machell, & Joby Boxall. (2008). Development of Artificial Intelligence Systems for Analysis of Water Supply System Data. 1–15. 10 indexed citations

19.

Mounce, S. R. & John Machell. (2006). Burst detection using hydraulic data from water distribution systems with artificial neural networks. Urban Water Journal. 3(1). 21–31. 111 indexed citations

20.

Mounce, S. R., et al.. (2003). Sensor-fusion of hydraulic data for burst detection and location in a treated water distribution system. Information Fusion. 4(3). 217–229. 82 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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