T Smith

35 papers receiving 676 citations

Peers

T Smith
Comparison fields: 5 of 112
  • Health Information Management 112
  • Information Systems and Management 131
  • Research and Theory 8
  • General Health Professions 209
  • Applied Psychology 41
Replace Kaifeng Liu with:
Kaifeng Liu China
Kuang-Ming Kuo Taiwan
Stuart Anderson United Kingdom
Joanne Reeve United Kingdom
Leming Zhou United States
J. Aaron Johnson United States
David Newton United Kingdom
Catherine Arnott Smith United States
I‐Chi Chen Malaysia
Joshua Yang United States
T Smith relative to Kaifeng Liu China Kaifeng Liu's profile →
Citations per field
00.5×10×
Kaifeng Liu · 1×
Citations per year

Countries citing papers authored by T Smith

Since Specialization
Citations

This map shows the geographic impact of T Smith'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 T Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Smith more than expected).

Fields of papers citing papers by T Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007359
2 200350
3 200245
4 200730
5 202028
6 201219
7 199514
8 202313
9 199812
10 201712
11 200311
12 202210
13 201910
14 20199
15 19988
16 20248
17 20237
18 20107
19 19887
20 20186

About T Smith

T Smith is a scholar working on Research and Theory, Emergency Medical Services, General Health Professions, Emergency Medicine and Health Information Management, having authored 44 papers that have together received 719 indexed citations. Recurring topics across this work include Atomic and Subatomic Physics Research (10 papers), Quantum, superfluid, helium dynamics (9 papers), Advanced NMR Techniques and Applications (6 papers), Trauma and Emergency Care Studies (3 papers), Healthcare Policy and Management (3 papers), Ethics in medical practice (3 papers), Innovations in Medical Education (3 papers) and Nursing education and management (3 papers). The work is most often cited by research in Health Information Management (112 citations), Information Systems and Management (131 citations), Research and Theory (8 citations), General Health Professions (209 citations) and Applied Psychology (41 citations). T Smith has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include A. K. Thompson, T. Gentile, G. L. Jones, Wangchun Chen, T. E. Chupp, K. P. Coulter, Bien Chann, Earl Babcock, H. Russell Searight and Thad Walker. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Nursing Administration Quarterly, Journal of Dental Education, Nursing Ethics and JONA The Journal of Nursing Administration.

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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