Tim Benson

2.3k citations
114 papers · 1.6k · h-index 19

Impact in

Papers in

Tim Benson

97 papers receiving 1.5k citations

Peers

Tim Benson
Comparison fields: 5 of 88
  • Health Information Management 412
  • Health Informatics 17
  • General Health Professions 133
  • Issues, ethics and legal aspects 9
  • Endocrinology, Diabetes and Metabolism 58
Replace Nicole G. Weiskopf with:
Nicole G. Weiskopf United States
W. Ed Hammond United States
Clair M. Sullivan Australia
Jürgen Stausberg Germany
Thomas H. Payne United States
Rachel Richesson United States
Daniel Capurro N Chile
Marilyn Tavenner United States
JOHN P. GLASER United States
Lisa M. Schilling United States
Tim Benson relative to Nicole G. Weiskopf United States Nicole G. Weiskopf's profile →
Citations per field
00.5×1.5×
Nicole G. Weiskopf · 1×
Citations per year

Countries citing papers authored by Tim Benson

Since Specialization
Citations

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

Fields of papers citing papers by Tim Benson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012163
2 2016120
3 2011101
4 200994
5 202092
6 200288
7 201285
8 200966
9 200257
10 201952
11
Principles of Health Interoperability: SNOMED CT, HL7 and FHIR
201649
12 202047
13 202044
14 201043
15 201943
16 201439
17 201935
18 201625
19 202023
20 202219

About Tim Benson

Tim Benson is a scholar working on Health Information Management, General Health Professions, Economics and Econometrics, Software and Molecular Biology, having authored 114 papers that have together received 1.6k indexed citations. Recurring topics across this work include Electronic Health Records Systems (44 papers), Biomedical Text Mining and Ontologies (7 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Patient Satisfaction in Healthcare (6 papers), Medical Coding and Health Information (5 papers), Geriatric Care and Nursing Homes (4 papers), Thoreau and American Literature (2 papers) and Model-Driven Software Engineering Techniques (2 papers). The work is most often cited by research in Health Information Management (412 citations), Health Informatics (17 citations), General Health Professions (133 citations), Issues, ethics and legal aspects (9 citations) and Endocrinology, Diabetes and Metabolism (58 citations). Tim Benson has collaborated with scholars based in United Kingdom, Australia and Canada. Frequent co-authors include Grahame Grieve, HENRY W.W. POTTS, Erik Cambria, Chris Eckl, Amir Hussain, Clive Bowman, Pippa Bark, Dan H Williams, David Ingram and Steve Sizmur. Their work appears in journals such as Journal of Innovation in Health Informatics, BMC Health Services Research, BMJ Open Quality, Expert Systems with Applications and International Journal of Epidemiology.

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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