Alison S. Tomlin

6.2k total citations
143 papers, 4.5k citations indexed

About

Alison S. Tomlin is a scholar working on Environmental Engineering, Fluid Flow and Transfer Processes and Computational Mechanics. According to data from OpenAlex, Alison S. Tomlin has authored 143 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Environmental Engineering, 43 papers in Fluid Flow and Transfer Processes and 36 papers in Computational Mechanics. Recurrent topics in Alison S. Tomlin's work include Advanced Combustion Engine Technologies (43 papers), Wind and Air Flow Studies (39 papers) and Combustion and flame dynamics (30 papers). Alison S. Tomlin is often cited by papers focused on Advanced Combustion Engine Technologies (43 papers), Wind and Air Flow Studies (39 papers) and Combustion and flame dynamics (30 papers). Alison S. Tomlin collaborates with scholars based in United Kingdom, United States and Hungary. Alison S. Tomlin's co-authors include Tamás Turányi, Tilo Ziehn, Michael J. Pilling, R. Smalley, Stephen J. Klippenstein, Joel Millward-Hopkins, Michael J. Davis, Rex T. Skodje, Mohamed Pourkashanian and Kevin J. Hughes and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Alison S. Tomlin

140 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alison S. Tomlin United Kingdom 39 1.4k 1.3k 1.1k 826 773 143 4.5k
Raymond L. Speth United States 26 1.6k 1.2× 1.8k 1.4× 177 0.2× 1.1k 1.3× 271 0.4× 68 3.3k
Peng Zhang China 41 696 0.5× 2.0k 1.5× 239 0.2× 614 0.7× 829 1.1× 378 6.1k
Tamás Turányi Hungary 39 3.1k 2.2× 2.8k 2.1× 137 0.1× 1.0k 1.2× 816 1.1× 119 5.4k
Bing Wang China 35 742 0.5× 2.0k 1.5× 228 0.2× 1.7k 2.1× 255 0.3× 241 4.1k
Volker Sick United States 40 3.2k 2.3× 3.5k 2.7× 362 0.3× 794 1.0× 485 0.6× 199 5.6k
Richard M. Lueptow United States 43 159 0.1× 3.5k 2.7× 317 0.3× 313 0.4× 138 0.2× 210 6.0k
Ryōichi Yamamoto Japan 44 563 0.4× 904 0.7× 159 0.1× 230 0.3× 237 0.3× 484 8.6k
Jethro Akroyd United Kingdom 33 881 0.6× 598 0.5× 109 0.1× 100 0.1× 589 0.8× 127 3.1k
Sebastian Mosbach United Kingdom 33 1.3k 0.9× 923 0.7× 84 0.1× 88 0.1× 392 0.5× 139 3.2k
Shuyu Sun Saudi Arabia 47 81 0.1× 3.3k 2.5× 1.6k 1.4× 312 0.4× 271 0.4× 519 9.2k

Countries citing papers authored by Alison S. Tomlin

Since Specialization
Citations

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

Fields of papers citing papers by Alison S. Tomlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alison S. Tomlin

This figure shows the co-authorship network connecting the top 25 collaborators of Alison S. Tomlin. A scholar is included among the top collaborators of Alison S. Tomlin 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 Alison S. Tomlin. Alison S. Tomlin 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.
Wiseman, Scott, Hu Li, & Alison S. Tomlin. (2025). Combustion and Emission Performance from the Use of Acid-Catalysed Butanol Alcoholysis Derived Advanced Biofuel Blends in a Compression Ignition Engine. SAE technical papers on CD-ROM/SAE technical paper series. 1. 1 indexed citations
3.
Cockerill, Tim, et al.. (2024). On–off-Grid Optimal Hybrid Renewable Energy Systems for House Units in Iraq. SHILAP Revista de lepidopterología. 6(2). 602–624. 2 indexed citations
4.
Wiseman, Scott, et al.. (2023). Predicting the physical properties of three-component lignocellulose derived advanced biofuel blends using a design of experiments approach. Sustainable Energy & Fuels. 7(21). 5283–5300. 7 indexed citations
5.
Tomlin, Alison S., et al.. (2023). Automatic mechanism generation for the combustion of advanced biofuels: A case study for diethyl ether. International Journal of Chemical Kinetics. 56(4). 233–262. 7 indexed citations
7.
Sleigh, Andrew, et al.. (2018). Evacuation characteristics of released airborne TiO2 nanomaterial particles under different ventilation rates in a confined environment. Journal of Environmental Management. 233. 417–426. 5 indexed citations
8.
Valkó, Éva, et al.. (2017). Investigation of the effect of correlated uncertain rate parameters via the calculation of global and local sensitivity indices. Journal of Mathematical Chemistry. 56(3). 864–889. 10 indexed citations
9.
Valkó, Éva, Tamás Varga, Alison S. Tomlin, & Tamás Turányi. (2016). Investigation of the effect of correlated uncertain rate parameters on a model of hydrogen combustion using a generalized HDMR method. Proceedings of the Combustion Institute. 36(1). 681–689. 12 indexed citations
10.
Tomlin, Alison S., et al.. (2015). Urban wind: Characterisation of useful gust and energy capture. Renewable Energy. 81. 162–172. 44 indexed citations
11.
Martin, Damien, G. Nickless, RE Britter, et al.. (2010). Urban tracer dispersion experiment in London (DAPPLE) 2003: field study and comparison with empirical prediction. Atmospheric Science Letters. 11(4). 241–248. 26 indexed citations
12.
Shallcross, Dudley E., Damien Martin, G. Nickless, et al.. (2009). Short‐range urban dispersion experiments using fixed and moving sources. Atmospheric Science Letters. 10(2). 59–65. 16 indexed citations
13.
Hughes, Kevin J., J.F. Griffiths, Michael Fairweather, & Alison S. Tomlin. (2006). Evaluation of models for the low temperature combustion of alkanes through interpretation of pressure–temperature ignition diagrams. Physical Chemistry Chemical Physics. 8(27). 3197–3210. 29 indexed citations
14.
Tomlin, Alison S., et al.. (2004). Systematic reduction of complex tropospheric chemical mechanisms, Part II: Lumping using a time-scale based approach. Atmospheric chemistry and physics. 4(7). 2057–2081. 27 indexed citations
15.
Tomlin, Alison S., et al.. (2004). Systematic reduction of complex tropospheric chemical mechanisms, Part I: sensitivity and time-scale analyses. Atmospheric chemistry and physics. 4(7). 2025–2056. 37 indexed citations
16.
Lagzi, István, et al.. (2004). Simulation of the dispersion of nuclear contamination using an adaptive Eulerian grid model. Journal of Environmental Radioactivity. 75(1). 59–82. 29 indexed citations
17.
Street, Brian, et al.. (2003). Mathematics as Social: Understanding Relationships between Home and School Numeracy Practices. Research Portal (King's College London). 23(3). 11–15. 33 indexed citations
18.
Tomlin, Alison S.. (2002). Literacy Approaches in the Numeracy Classroom.. Research Portal (King's College London). 11(2). 9–24. 4 indexed citations
19.
Scott, Stephen K. & Alison S. Tomlin. (1990). Period doubling and other complex bifurcations in non-isothermal chemical systems. Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences. 332(1624). 51–68. 24 indexed citations
20.
Tomlin, Alison S., et al.. (1970). Efficient High Resolution Methods For Air Pollution Models. WIT Transactions on Ecology and the Environment. 9. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026