Tom Arnot

4.9k total citations · 2 hit papers
37 papers, 3.8k citations indexed

About

Tom Arnot is a scholar working on Water Science and Technology, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Tom Arnot has authored 37 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Water Science and Technology, 11 papers in Biomedical Engineering and 7 papers in Molecular Biology. Recurrent topics in Tom Arnot's work include Membrane Separation Technologies (12 papers), Membrane-based Ion Separation Techniques (6 papers) and Wastewater Treatment and Nitrogen Removal (5 papers). Tom Arnot is often cited by papers focused on Membrane Separation Technologies (12 papers), Membrane-based Ion Separation Techniques (6 papers) and Wastewater Treatment and Nitrogen Removal (5 papers). Tom Arnot collaborates with scholars based in United Kingdom, Netherlands and Australia. Tom Arnot's co-authors include Davide Mattia, Kah Peng Lee, J.B. Lakeman, F.C. Walsh, Robert W. Field, Andrzej Benedykt Koltuniewicz, John Howell, A. Toby A. Jenkins, H.C. Chua and Marta Coma and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Hazardous Materials and Annals of the New York Academy of Sciences.

In The Last Decade

Tom Arnot

37 papers receiving 3.8k citations

Hit Papers

A review of reverse osmosis membrane materials for desali... 2006 2026 2012 2019 2010 2006 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Arnot United Kingdom 20 2.0k 1.8k 1.4k 471 434 37 3.8k
Seoktae Kang South Korea 36 2.5k 1.3× 3.0k 1.7× 691 0.5× 431 0.9× 388 0.9× 130 6.1k
Lei Qin China 33 1.1k 0.6× 735 0.4× 391 0.3× 361 0.8× 266 0.6× 94 3.4k
Pierre Aimar France 44 4.0k 2.0× 3.2k 1.8× 1.3k 1.0× 766 1.6× 62 0.1× 124 5.7k
Zhenyu Li China 28 2.3k 1.1× 2.0k 1.1× 776 0.6× 294 0.6× 63 0.1× 59 3.4k
Kaisong Zhang China 39 3.2k 1.6× 2.6k 1.4× 1.0k 0.7× 921 2.0× 131 0.3× 132 4.8k
Yanling Yu China 29 449 0.2× 447 0.2× 601 0.4× 97 0.2× 503 1.2× 115 2.5k
Andréia Fonseca de Faria Brazil 29 1.3k 0.7× 2.9k 1.6× 508 0.4× 257 0.5× 58 0.1× 49 4.8k
Yong Qiu China 30 458 0.2× 640 0.3× 592 0.4× 76 0.2× 376 0.9× 101 3.0k
He Xiao China 29 561 0.3× 590 0.3× 1.6k 1.2× 734 1.6× 96 0.2× 121 3.5k
Dong Tian China 40 432 0.2× 2.7k 1.5× 699 0.5× 265 0.6× 58 0.1× 182 5.5k

Countries citing papers authored by Tom Arnot

Since Specialization
Citations

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

Fields of papers citing papers by Tom Arnot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Arnot

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Arnot. A scholar is included among the top collaborators of Tom Arnot 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 Tom Arnot. Tom Arnot 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.
2.
Wagener, Thorsten, Dragan Savić, David Butler, et al.. (2021). Hydroinformatics education – the Water Informatics in Science and Engineering (WISE) Centre for Doctoral Training. Hydrology and earth system sciences. 25(5). 2721–2738. 5 indexed citations
3.
Coma, Marta, et al.. (2021). Selecting fermentation products for food waste valorisation with HRT and OLR as the key operational parameters. Waste Management. 127. 80–89. 47 indexed citations
4.
Zlatanović, Ljiljana, Jan Peter van der Hoek, Zoran Kapelan, et al.. (2020). A Stochastic Model to Predict Flow, Nutrient and Temperature Changes in a Sewer under Water Conservation Scenarios. Water. 12(4). 1187–1187. 17 indexed citations
5.
Proctor, Kathryn, Bruce Petrie, Luigi Lopardo, et al.. (2020). Micropollutant fluxes in urban environment – A catchment perspective. Journal of Hazardous Materials. 401. 123745–123745. 30 indexed citations
6.
7.
Arnot, Tom, et al.. (2019). Predicting impacts of water conservation with a stochastic sewer model. Water Science & Technology. 80(11). 2148–2157. 7 indexed citations
8.
Proctor, Kathryn, Bruce Petrie, Ruth Barden, Tom Arnot, & Barbara Kasprzyk‐Hordern. (2019). Multi-residue ultra-performance liquid chromatography coupled with tandem mass spectrometry method for comprehensive multi-class anthropogenic compounds of emerging concern analysis in a catchment-based exposure-driven study. Analytical and Bioanalytical Chemistry. 411(27). 7061–7086. 26 indexed citations
9.
Arnot, Tom, et al.. (2019). Developing a stochastic sewer model to support sewer design under water conservation measures. Journal of Hydrology. 573. 908–917. 22 indexed citations
10.
Forgács, Gergely, et al.. (2017). BioWin modelling to reduce the Avonmouth digester commissioning programme from 6 months to 6 weeks. 1 indexed citations
11.
Esteban, Patricia Pérez, A. Toby A. Jenkins, & Tom Arnot. (2015). Elucidation of the mechanisms of action of Bacteriophage K/nano-emulsion formulations against S. aureus via measurement of particle size and zeta potential. Colloids and Surfaces B Biointerfaces. 139. 87–94. 71 indexed citations
12.
Arnot, Tom, et al.. (2006). Biofuel cells and their development. Biosensors and Bioelectronics. 21(11). 2015–2045. 770 indexed citations breakdown →
13.
Howell, John, et al.. (2003). Membrane Bioreactors for Treating Waste Streams. Annals of the New York Academy of Sciences. 984(1). 411–419. 15 indexed citations
14.
Chua, H.C., Tom Arnot, & John Howell. (2002). Controlling fouling in membrane bioreactors operated with a variable throughput. Desalination. 149(1-3). 225–229. 68 indexed citations
15.
Liu, Wenjun, John Howell, Tom Arnot, & Jenny Scott. (2001). Extraction-membrane bio-reactor for treating priority pollutants in the presence of inorganics. Membrane Technology. 2001(133). 4–7. 3 indexed citations
16.
Arnot, Tom, Robert W. Field, & Andrzej Benedykt Koltuniewicz. (2000). Cross-flow and dead-end microfiltration of oily-water emulsions. Journal of Membrane Science. 169(1). 1–15. 133 indexed citations
17.
Scott, Jenny, et al.. (1996). Enhanced system kLa and permeate flux with a ceramic membrane bioreactor. Biotechnology Techniques. 10(4). 8 indexed citations
18.
Arnot, Tom, et al.. (1996). Membrane bioreactors as an alternative to conventional waste water treatment processes. Europe PMC (PubMed Central). 1(2). 145–162. 8 indexed citations
19.
Koltuniewicz, Andrzej Benedykt, Robert W. Field, & Tom Arnot. (1995). Cross-flow and dead-end microfiltration of oily-water emulsion. Part I: Experimental study and analysis of flux decline. Journal of Membrane Science. 102. 193–207. 157 indexed citations
20.
Field, Robert W., Hang Song, & Tom Arnot. (1994). The influence of surfactant on water flux through microfiltration membranes. Journal of Membrane Science. 86(3). 291–304. 38 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026