Tom Lawton

3.7k total citations
39 papers, 486 citations indexed

About

Tom Lawton is a scholar working on Surgery, Artificial Intelligence and Emergency Medical Services. According to data from OpenAlex, Tom Lawton has authored 39 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 9 papers in Artificial Intelligence and 9 papers in Emergency Medical Services. Recurrent topics in Tom Lawton's work include Machine Learning in Healthcare (7 papers), Healthcare Operations and Scheduling Optimization (6 papers) and Artificial Intelligence in Healthcare and Education (6 papers). Tom Lawton is often cited by papers focused on Machine Learning in Healthcare (7 papers), Healthcare Operations and Scheduling Optimization (6 papers) and Artificial Intelligence in Healthcare and Education (6 papers). Tom Lawton collaborates with scholars based in United Kingdom, United States and Germany. Tom Lawton's co-authors include Ibrahim Habli, Zoë Porter, John McDermid, Yan Jia, Simon Burton, Roderick Murray‐Smith, Chaitanya Kaul, Audrey Quinn, Christine E. Peters and John Burden and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and BMJ.

In The Last Decade

Tom Lawton

34 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Lawton United Kingdom 10 148 142 75 66 59 39 486
Zoë Porter United Kingdom 7 152 1.0× 137 1.0× 97 1.3× 6 0.1× 55 0.9× 14 370
Carly Eckert United States 9 117 0.8× 278 2.0× 29 0.4× 20 0.3× 23 0.4× 19 583
Jeremy Irvin United States 10 91 0.6× 109 0.8× 15 0.2× 31 0.5× 17 0.3× 18 504
Raffaele Rasoini Italy 5 249 1.7× 221 1.6× 29 0.4× 43 0.7× 89 1.5× 8 715
David Lyell Australia 8 196 1.3× 108 0.8× 45 0.6× 14 0.2× 63 1.1× 21 444
Stephanie Teeple United States 5 228 1.5× 135 1.0× 46 0.6× 38 0.6× 81 1.4× 9 524
Fred Hersch Australia 10 132 0.9× 143 1.0× 35 0.5× 13 0.2× 81 1.4× 16 562
Som Biswas United States 9 466 3.1× 245 1.7× 43 0.6× 21 0.3× 51 0.9× 41 698
Dana Moukheiber United States 8 174 1.2× 138 1.0× 33 0.4× 33 0.5× 47 0.8× 15 432
Shane O’Sullivan Brazil 8 170 1.1× 104 0.7× 55 0.7× 27 0.4× 49 0.8× 13 569

Countries citing papers authored by Tom Lawton

Since Specialization
Citations

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

Fields of papers citing papers by Tom Lawton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Lawton

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Lawton. A scholar is included among the top collaborators of Tom Lawton 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 Lawton. Tom Lawton 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.
Kotzé, Alwyn, Tom Lawton, Simon Howell, et al.. (2025). Development, external validation and integration into clinical workflow of machine learning models to support pre‐operative assessment in the UK. Anaesthesia. 81(2). 201–212. 1 indexed citations
2.
Johnson, Owen, Carolyn McCrorie, Teumzghi F Mebrahtu, et al.. (2024). Implementing an artificial intelligence command centre in the NHS: a mixed-methods study. SHILAP Revista de lepidopterología. 12(41). 1–108. 1 indexed citations
3.
4.
Iacovides, Ioanna, et al.. (2024). Development and translation of human-AI interaction models into working prototypes for clinical decision-making. Designing Interactive Systems Conference. 1607–1619. 5 indexed citations
5.
Habli, Ibrahim, Mark Sujan, & Tom Lawton. (2024). Moving beyond the AI sales pitch – Empowering clinicians to ask the right questions about clinical AI. SHILAP Revista de lepidopterología. 11(3). 100179–100179. 2 indexed citations
6.
Lawton, Tom, Zoë Porter, Ioanna Iacovides, et al.. (2024). Clinicians risk becoming “liability sinks” for artificial intelligence. SHILAP Revista de lepidopterología. 11(1). 100007–100007. 12 indexed citations
7.
Mebrahtu, Teumzghi F, Jonathan Benn, Carolyn McCrorie, et al.. (2023). The impact of hospital command centre on patient flow and data quality: findings from the UK National Health Service. International Journal for Quality in Health Care. 35(4). 2 indexed citations
8.
9.
Lawton, Tom, et al.. (2023). Building on a novel bootstrapping modelling technique to predict region-wide critical care capacity requirements over the next decade. Future Healthcare Journal. 10(1). 50–55. 1 indexed citations
10.
Mebrahtu, Teumzghi F, Jonathan Benn, Carolyn McCrorie, et al.. (2023). Effect of a hospital command centre on patient safety: an interrupted time series study. BMJ Health & Care Informatics. 30(1). e100653–e100653. 3 indexed citations
11.
Lawton, Tom, et al.. (2023). Predicting Progression of Type 2 Diabetes Using Primary Care Data with the Help of Machine Learning. Studies in health technology and informatics. 302. 38–42. 3 indexed citations
12.
Porter, Zoë, et al.. (2022). Distinguishing two features of accountability for AI technologies. Nature Machine Intelligence. 4(9). 734–736. 9 indexed citations
13.
McCrorie, Carolyn, Jonathan Benn, Ibrahim Habli, et al.. (2022). Evaluating the safety and patient impacts of an artificial intelligence command centre in acute hospital care: a mixed-methods protocol. BMJ Open. 12(3). e054090–e054090. 10 indexed citations
14.
Lawton, Tom, et al.. (2022). Why is respiratory protective equipment still an issue in the NHS?. BMJ. o1082–o1082.
15.
Jia, Yan, Chaitanya Kaul, Tom Lawton, Roderick Murray‐Smith, & Ibrahim Habli. (2021). Prediction of weaning from mechanical ventilation using Convolutional Neural Networks. Artificial Intelligence in Medicine. 117. 102087–102087. 44 indexed citations
16.
Jia, Yan, Tom Lawton, John Burden, John McDermid, & Ibrahim Habli. (2021). Safety-driven design of machine learning for sepsis treatment. Journal of Biomedical Informatics. 117. 103762–103762. 8 indexed citations
17.
Jia, Yan, Tom Lawton, Sean White, & Ibrahim Habli. (2019). Developing a Safety Case for Electronic Prescribing. Studies in health technology and informatics. 264. 629–633.
18.
Burton, Simon, et al.. (2019). Mind the gaps: Assuring the safety of autonomous systems from an engineering, ethical, and legal perspective. Artificial Intelligence. 279. 103201–103201. 91 indexed citations
19.
Lawton, Tom, et al.. (2019). Policy: A novel modelling technique to predict resource requirements in critical care – a case study. Future Healthcare Journal. 6(1). 17–20. 5 indexed citations
20.
Lawton, Tom, Athe Tsibris, David Schoenfeld, et al.. (2010). Use and sources of medical information among departing international travelers to low and middle income countries at Logan International Airport-Boston, MA, 2009. International Journal of Infectious Diseases. 14. e132–e132. 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

Breakdown of academic impact, for papers by Zoë Porter Breakdown of academic impact, for papers by Carly Eckert Breakdown of academic impact, for papers by Jeremy Irvin Breakdown of academic impact, for papers by Raffaele Rasoini Breakdown of academic impact, for papers by David Lyell Breakdown of academic impact, for papers by Stephanie Teeple Breakdown of academic impact, for papers by Fred Hersch Breakdown of academic impact, for papers by Som Biswas Breakdown of academic impact, for papers by Dana Moukheiber Breakdown of academic impact, for papers by Shane O’Sullivan
Rankless by CCL
2026