John Machell

1.3k total citations
35 papers, 1.1k citations indexed

About

John Machell is a scholar working on Civil and Structural Engineering, Water Science and Technology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, John Machell has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Civil and Structural Engineering, 15 papers in Water Science and Technology and 10 papers in Health, Toxicology and Mutagenesis. Recurrent topics in John Machell's work include Water Systems and Optimization (21 papers), Water Treatment and Disinfection (10 papers) and Water Quality Monitoring Technologies (9 papers). John Machell is often cited by papers focused on Water Systems and Optimization (21 papers), Water Treatment and Disinfection (10 papers) and Water Quality Monitoring Technologies (9 papers). John Machell collaborates with scholars based in United Kingdom, Türkiye and Spain. John Machell's co-authors include S. R. Mounce, Joby Boxall, A.S. Wood, A. J. Saul, Pamela S. Naden, Carol D. Watts, A J Day, Andrew Day, Peter J. Skipworth and John M. Andrésen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Technological Forecasting and Social Change.

In The Last Decade

John Machell

34 papers receiving 999 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Machell United Kingdom 15 700 359 265 210 205 35 1.1k
Donghwi Jung South Korea 17 699 1.0× 223 0.6× 242 0.9× 287 1.4× 138 0.7× 85 998
Kunlun Xin China 19 795 1.1× 410 1.1× 337 1.3× 335 1.6× 179 0.9× 80 1.3k
Srinivasa Lingireddy United States 19 516 0.7× 290 0.8× 126 0.5× 345 1.6× 131 0.6× 37 910
Daniele Laucelli Italy 23 1.3k 1.8× 391 1.1× 328 1.2× 483 2.3× 342 1.7× 99 1.6k
Luigi Berardi Italy 23 1.3k 1.9× 318 0.9× 361 1.4× 473 2.3× 313 1.5× 96 1.6k
Juan Reca Spain 21 621 0.9× 352 1.0× 431 1.6× 226 1.1× 73 0.4× 46 1.4k
T. R. Neelakantan India 17 416 0.6× 343 1.0× 321 1.2× 244 1.2× 70 0.3× 56 858
Yves Filion Canada 19 748 1.1× 341 0.9× 337 1.3× 634 3.0× 267 1.3× 93 1.4k
Juan Martínez Spain 20 519 0.7× 230 0.6× 277 1.0× 192 0.9× 65 0.3× 34 1.1k
Hexiang Yan China 15 401 0.6× 181 0.5× 171 0.6× 335 1.6× 71 0.3× 52 770

Countries citing papers authored by John Machell

Since Specialization
Citations

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

Fields of papers citing papers by John Machell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Machell

This figure shows the co-authorship network connecting the top 25 collaborators of John Machell. A scholar is included among the top collaborators of John Machell 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 John Machell. John Machell 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
1.
Vancine, Maurício Humberto, et al.. (2021). Distribution of macroalgae epiphytes and host species from the Cuban marine shelf inferred from ecological modelling. Aquatic Botany. 172. 103395–103395. 3 indexed citations
2.
Tussupova, Kamshat, et al.. (2019). Rising environmental awareness in Central Asia: an empirical study from Nursultan, Kazakhstan. International Journal of Environment and Pollution. 66(4). 276–276. 3 indexed citations
3.
Karaca, Ferhat, et al.. (2019). Rising environmental awareness in Central Asia: an empirical study from Nursultan, Kazakhstan. International Journal of Environment and Pollution. 66(4). 276–276. 3 indexed citations
4.
Matta, Gagan, Pradeep K. Naik, John Machell, et al.. (2018). Comparative study on seasonal variation in hydro-chemical parameters of Ganga River water using comprehensive pollution index (CPI) at Rishikesh (Uttarakhand) India. Desalination and Water Treatment. 118. 87–95. 39 indexed citations
5.
Blokker, Mirjam, et al.. (2016). Relating Water Quality and Age in Drinking Water Distribution Systems Using Self-Organising Maps. Environments. 3(2). 10–10. 32 indexed citations
6.
Machell, John, et al.. (2015). Drinking water purity – a UK perspective. Environmental Science Water Research & Technology. 1(3). 268–271. 3 indexed citations
7.
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
8.
Machell, John, et al.. (2014). The water energy food nexus – challenges and emerging solutions. Environmental Science Water Research & Technology. 1(1). 15–16. 42 indexed citations
9.
Varga, Liz, Fatih Camci, Joby Boxall, et al.. (2013). Transforming Critical Infrastructure. RePEc: Research Papers in Economics. 2(3). 38–49. 2 indexed citations
10.
Karaca, Ferhat, John Machell, Liz Varga, et al.. (2013). Single infrastructure utility provision to households: Technological feasibility study. Futures. 49. 35–48. 9 indexed citations
11.
Machell, John & Joby Boxall. (2013). Modeling and Field Work to Investigate the Relationship between Age and Quality of Tap Water. Journal of Water Resources Planning and Management. 140(9). 37 indexed citations
12.
Sekar, Raju, Peter Deines, John Machell, et al.. (2012). Bacterial water quality and network hydraulic characteristics: a field study of a small, looped water distribution system using culture-independent molecular methods. Journal of Applied Microbiology. 112(6). 1220–1234. 35 indexed citations
13.
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
14.
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
15.
Day, Andrew, et al.. (2008). Artificial Neural Network Model For A Low Cost Failure Sensor: Performance Assessment In Pipeline Distribution. Bradford Scholars (University of Bradford). 2(9). 690–696. 8 indexed citations
16.
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
17.
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
18.
Watts, Carol D., et al.. (2001). Long term variation in water colour from Yorkshire catchments. The Science of The Total Environment. 278(1-3). 57–72. 74 indexed citations
19.
Skipworth, Peter J., John Machell, & Adrian J. Saul. (2001). Explicit Consideration of Spatial Flowrate Distribution in Network Model Calibration. 1–8. 1 indexed citations
20.
Skipworth, Peter J., A. J. Saul, & John Machell. (1999). The Effect of Regional Factors on Leakage Levels and the Role of Performance Indicators. Water and Environment Journal. 13(3). 184–188. 12 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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