Matthew Ditmore

637 citations
2 papers · 458 · 1 hit paper · h-index 2

Impact in

Papers in

Matthew Ditmore

2 papers receiving 432 citations

Matthew Ditmore's Hit Papers

Effect of Bar-Code Technology on the Safety of Medication Administration 2010 · 428 citations
4280+5+10Years since publication100200300400

Peers

Matthew Ditmore
Comparison fields: 5 of 71
  • Medical Laboratory Technology 54
  • Emergency Medical Services 208
  • Health Information Management 132
  • Geriatrics and Gerontology 90
  • Family Practice 17
Replace Thomas T. Moniz with:
Thomas T. Moniz United States
Anne Bane United States
Allen J. Vaida United States
Jennifer L. Cina United States
Mário Borges Rosa Brazil
Nirali H. Patel United States
M Hüsch United States
Anne Bobb United States
Jason S. Adelman United States
Kathryn Lynette James United Kingdom
Matthew Ditmore relative to Thomas T. Moniz United States Thomas T. Moniz's profile →
Citations per field
00.5×1.5×
Thomas T. Moniz · 1×
Citations per year

Countries citing papers authored by Matthew Ditmore

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Ditmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Matthew Ditmore, 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 Ditmore Line = papers co-authored together Matthew Ditmore links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown
#Work
1
Effect of Bar-Code Technology on the Safety of Medication Administration
Hit paper breakdown →
2010428
2 201030

About Matthew Ditmore

Matthew Ditmore is a scholar working on Geriatrics and Gerontology, Health Information Management, Emergency Medical Services, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 2 papers that have together received 458 indexed citations. Recurring topics across this work include Electronic Health Records Systems (1 paper), Pharmaceutical Practices and Patient Outcomes (1 paper) and Patient Safety and Medication Errors (1 paper). The work is most often cited by research in Medical Laboratory Technology (54 citations), Emergency Medical Services (208 citations), Health Information Management (132 citations), Geriatrics and Gerontology (90 citations) and Family Practice (17 citations). Matthew Ditmore has collaborated with scholars based in United States. Frequent co-authors include Eric G. Poon, Tejal Gandhi, Catherine S. Yoon, Thomas T. Moniz, Osnat Levtzion‐Korach, Allen B. Kachalia, Anthony D. Whittemore, Carol Ann Keohane, David Westfall Bates and Jeffrey M. Rothschild. Their work appears in journals such as Obstetrical & Gynecological Survey and New England Journal of 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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