Tom Noseworthy

4.8k citations
104 papers · 3.4k indexed · 1 hit paper · h-index 30
Topics
Health Systems, Economic Evaluations, Quality of Life (31 papers)Healthcare Policy and Management (23 papers)Total Knee Arthroplasty Outcomes (21 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEJournal of Bone and Joint Surgery

In The Last Decade

Tom Noseworthy

102 papers receiving 3.3k citations

Hit Papers

Exploring physician specialist response rates to web-base...20152026201820222015200400600

Peers

Tom Noseworthy
Comparison fields: 5 of 148
  • General Health Professions 1.1k
  • Surgery 913
  • Economics and Econometrics 779
  • Public Health, Environmental and Occupational Health 461
  • Epidemiology 409
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Tom Noseworthy relative to Philip Jacobs Canada Philip Jacobs's profile →
Citations per field
00.5×1.5×2.2×
Philip Jacobs · 1×
Citations per year

Countries citing papers authored by Tom Noseworthy

Since Specialization
Citations

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

Fields of papers citing papers by Tom Noseworthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Noseworthy

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Noseworthy. A scholar is included among the top collaborators of Tom Noseworthy 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 Noseworthy. Tom Noseworthy 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 0
2 16
3 2
4 7
5 11
6 50
7 33
8 5
9 35
10 22
11 95
12 87
13 15
14 2
15 42
16 25
17 6
18
IDESS - A Multi Agent Based Simulation System for Rapid Development of Infectious Disease Models.
2
19 22
20 12

About Tom Noseworthy

Tom Noseworthy is a scholar working on General Health Professions, Economics and Econometrics and Medical Laboratory Technology, having authored 104 papers that have together received 3.4k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (31 papers), Healthcare Policy and Management (23 papers) and Total Knee Arthroplasty Outcomes (21 papers). The work is most often cited by research in General Health Professions (1.1k citations), Emergency Medicine (359 citations) and Emergency Medical Services (204 citations). Tom Noseworthy has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include Fiona Clement, Barbara Conner‐Spady, Diane Lorenzetti, Deborah A. Marshall, Laura E. Leggett, John McGurran, Éric Bohm, Lesley Soril, William A. Ghali and Michael Dunbar. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Bone and Joint Surgery.

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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