Tom Lawton

35 papers and 372 indexed citations i.

About

Tom Lawton is a scholar working on Emergency Medical Services, Surgery and Artificial Intelligence. According to data from OpenAlex, Tom Lawton has authored 35 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Emergency Medical Services, 8 papers in Surgery and 7 papers in Artificial Intelligence. Recurrent topics in Tom Lawton’s work include Artificial Intelligence in Healthcare and Education (6 papers), Healthcare Operations and Scheduling Optimization (6 papers) and Machine Learning in Healthcare (6 papers). Tom Lawton is often cited by papers focused on Artificial Intelligence in Healthcare and Education (6 papers), Healthcare Operations and Scheduling Optimization (6 papers) and Machine Learning in Healthcare (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 Christopher T. Wright and has published in prestigious journals such as The Lancet, BMJ and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Tom Lawton i

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.

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).

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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2025