Tom Lawton

3.7k citations
39 papers · 486 indexed · h-index 10
Topics
Machine Learning in Healthcare (7 papers)Healthcare Operations and Scheduling Optimization (6 papers)Artificial Intelligence in Healthcare and Education (6 papers)
Journals
The LancetSHILAP Revista de lepidopterologíaBMJ

In The Last Decade

Tom Lawton

34 papers receiving 470 citations

Peers

Tom Lawton
Comparison fields: 5 of 109
  • Health Informatics 148
  • Artificial Intelligence 142
  • Safety Research 75
  • Pulmonary and Respiratory Medicine 66
  • Public Health, Environmental and Occupational Health 59
Replace Zoë Porter with:
Zoë Porter United Kingdom
Jeremy Irvin United States
David Lyell Australia
Bibb Allen United States
Yilin Ning Singapore
Carly Eckert United States
Sean White United Kingdom
Mjaye Mazwi Canada
Artuur Leeuwenberg Netherlands
Som Biswas United States
Tom Lawton relative to Zoë Porter United Kingdom Zoë Porter's profile →
Citations per field
00.5×11×
Zoë Porter · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 1
3 1
4 5
5 2
6 12
7 2
8 0
9 1
10 3
11 3
12 9
13 10
14 0
15 44
16 8
17 0
18 91
19 5
20 1

About Tom Lawton

Tom Lawton is a scholar working on Health Informatics, Medical Laboratory Technology and Health Information Management, having authored 39 papers that have together received 486 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (7 papers), Healthcare Operations and Scheduling Optimization (6 papers) and Artificial Intelligence in Healthcare and Education (6 papers). The work is most often cited by research in Health Informatics (148 citations), Safety Research (75 citations) and Health Information Management (33 citations). Tom Lawton has collaborated with scholars based in United Kingdom, United States and Germany. Frequent 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. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and BMJ.

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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