Ben Thomas

26 papers receiving 298 citations

Peers

Ben Thomas
Comparison fields: 5 of 72
  • Psychiatry and Mental health 78
  • Health Informatics 3
  • General Health Professions 40
  • Emergency Medicine 11
  • Modeling and Simulation 6
Replace Kees van Boven with:
Kees van Boven Netherlands
Joe Hollinghurst United Kingdom
Anja Zgodic United States
Lesley Anne Henson United Kingdom
Assefa Desalew Ethiopia
Schirin Akhbari Ziegler Netherlands
Anja Domenghino Switzerland
Barbara Stephens United Kingdom
Joanna Kubisiak United States
David Fox United States
Ben Thomas relative to Kees van Boven Netherlands Kees van Boven's profile →
Citations per field
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Kees van Boven · 1×
Citations per year

Countries citing papers authored by Ben Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Ben Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ben Thomas, 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 Ben Thomas Line = papers co-authored together Ben Thomas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200842
2 201140
3 201229
4 201719
5 201718
6 202118
7 202116
8 202015
9 201914
10 202213
11 202212
12 202211
13 20229
14 20228
15 20237
16 20227
17 20196
18 20225
19 20215
20 20212

About Ben Thomas

Ben Thomas is a scholar working on Epidemiology, Psychiatry and Mental health, Surgery, General Health Professions and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 305 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (4 papers), Sepsis Diagnosis and Treatment (4 papers), Renal cell carcinoma treatment (1 paper), Disaster Response and Management (1 paper), Enhanced Recovery After Surgery (1 paper), Aging and Gerontology Research (1 paper), Clinical Reasoning and Diagnostic Skills (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Psychiatry and Mental health (78 citations), Health Informatics (3 citations), General Health Professions (40 citations), Emergency Medicine (11 citations) and Modeling and Simulation (6 citations). Ben Thomas has collaborated with scholars based in United Kingdom, Hungary and New Zealand. Frequent co-authors include David A. Tolley, Steve Goodacre, Laura Sutton, Gail Mountain, J. Timothy Wright, Kirsty Sprange, Cindy Cooper, Jules Beresford‐Dent, Sarah Connelly and Sarah Peters. Their work appears in journals such as Emergency Medicine Journal, Health Technology Assessment, BMJ Open, BMJ Quality & Safety and The Lancet Infectious Diseases.

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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