Matthew Boyd

2.9k citations
58 papers · 1.1k · h-index 21

Impact in

Papers in

Matthew Boyd

55 papers receiving 1.1k citations

Peers

Matthew Boyd
Comparison fields: 5 of 141
  • Geriatrics and Gerontology 502
  • Family Practice 204
  • Emergency Medical Services 215
  • Applied Microbiology and Biotechnology 37
  • Health Information Management 84
Replace Sarah Rodgers with:
Sarah Rodgers United Kingdom
Lisha Lo Canada
Elin C. Lehnbom Australia
Nancy Winslade Canada
Suzan N. Kucukarslan United States
Rita Shane United States
Michael T. Rupp United States
David W. Bates United States
Siew Siang Chua Malaysia
Anne Gerd Granås Norway
Matthew Boyd relative to Sarah Rodgers United Kingdom Sarah Rodgers's profile →
Citations per field
00.5×1.5×1.9×
Sarah Rodgers · 1×
Citations per year

Countries citing papers authored by Matthew Boyd

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Boyd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012297
2 201573
3 201856
4 201342
5 201540
6 201737
7 202037
8 201436
9 201134
10 201932
11 202329
12 201526
13 201326
14 201425
15 201324
16 201823
17 201323
18 201423
19 200921
20
Multidisciplinary operating room simulation-based team training to reduce treatment errors: a feasibility study in New Zealand hospitals.
201520

About Matthew Boyd

Matthew Boyd is a scholar working on Geriatrics and Gerontology, General Health Professions, Emergency Medical Services, Surgery and Family Practice, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (21 papers), Patient Safety and Medication Errors (12 papers), Primary Care and Health Outcomes (7 papers), Pharmaceutical studies and practices (5 papers), Innovations in Medical Education (5 papers), Medication Adherence and Compliance (5 papers), Interprofessional Education and Collaboration (5 papers) and Medical Malpractice and Liability Issues (5 papers). The work is most often cited by research in Geriatrics and Gerontology (502 citations), Family Practice (204 citations), Emergency Medical Services (215 citations), Applied Microbiology and Biotechnology (37 citations) and Health Information Management (84 citations). Matthew Boyd has collaborated with scholars based in United Kingdom, Australia and New Zealand. Frequent co-authors include Anthony Avery, Rachel Elliott, Justin Waring, Asam Latif, Sarah Armstrong, Aziz Sheikh, Sarah Rodgers, Claire Anderson, Antony Chuter and Nick Barber. Their work appears in journals such as Research in Social and Administrative Pharmacy, BMJ Quality & Safety, BMJ Open, BDJ and PLoS Medicine.

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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