Tom Lawrence

1.0k citations
28 papers · 676 · 1 hit paper · h-index 12

Impact in

Papers in

    • Shoulder Injury and Treatment 2
    • Pelvic and Acetabular Injuries 2
    • Trauma Management and Diagnosis 2
    • Hip and Femur Fractures 2
    • Trauma and Emergency Care Studies 8

Tom Lawrence

27 papers receiving 658 citations

Tom Lawrence's Hit Papers

Changing the System - Major Trauma Patients and Their Outcomes in the NHS (England) 2008–17 2018 · 243 citations
2430+2+5Years since publication50100150200

Peers

Tom Lawrence
Comparison fields: 5 of 88
  • Emergency Medicine 207
  • Critical Care and Intensive Care Medicine 22
  • Surgery 160
  • Neurology 55
  • Epidemiology 119
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Tom Lawrence relative to Jaehoon Oh South Korea Jaehoon Oh's profile →
Citations per field
00.5×4.0×
Jaehoon Oh · 1×
Citations per year

Countries citing papers authored by Tom Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by Tom Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tom Lawrence, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tom Lawrence Line = papers co-authored together Tom Lawrence links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Changing the System - Major Trauma Patients and Their Outcomes in the NHS (England) 2008–17
Hit paper breakdown →
2018243
2 201695
3 201379
4 202145
5 201938
6 201923
7 201820
8 202117
9 202017
10 201917
11 201913
12 202012
13 200310
14 202010
15
Residential Emergency Power Systems
20067
16 20207
17 20207
18
The incidence of secondary hemorrhage after traumatic hyphema.
19905
19 20002
20 20232

About Tom Lawrence

Tom Lawrence is a scholar working on Surgery, Emergency Medicine, Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 28 papers that have together received 676 indexed citations. Recurring topics across this work include Trauma and Emergency Care Studies (8 papers), Advanced Neural Network Applications (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Shoulder Injury and Treatment (2 papers), Machine Learning and ELM (2 papers), Pelvic and Acetabular Injuries (2 papers), Trauma Management and Diagnosis (2 papers) and Hip and Femur Fractures (2 papers). The work is most often cited by research in Emergency Medicine (207 citations), Critical Care and Intensive Care Medicine (22 citations), Surgery (160 citations), Neurology (55 citations) and Epidemiology (119 citations). Tom Lawrence has collaborated with scholars based in United Kingdom, Canada and Australia. Frequent co-authors include Omar Bouamra, Fiona Lecky, Li Zhang, Antoinette Edwards, Tim Coats, Maralyn Woodford, Christopher G. Moran, Keith Willett, Peter J. Hutchinson and James Beazley. Their work appears in journals such as Sensors, BMJ Open, Injury, The Bone & Joint Journal and Age and Ageing.

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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