Matthew Ditmore

665 citations
3 papers · 449 · 1 hit paper · h-index 3

Impact in

Papers in

Matthew Ditmore

3 papers receiving 417 citations

Matthew Ditmore's Hit Papers

Effect of Bar-Code Technology on the Safety of Medication Administration 2010 · 387 citations
3870+5+10Years since publication100200300

Peers

Matthew Ditmore
Comparison fields: 5 of 69
  • Medical Laboratory Technology 49
  • Emergency Medical Services 191
  • Health Information Management 116
  • Geriatrics and Gerontology 83
  • Medical Terminology 2
Replace Thomas Moniz with:
Thomas Moniz United States
Anne Bane United States
Harold J. DeMonaco United States
Allen J. Vaida United States
M Hüsch United States
Gillian Cavell United Kingdom
Anne Bobb United States
Thomas Bentley United States
Nirali Patel United States
Marja Härkänen Finland
Matthew Ditmore relative to Thomas Moniz United States Thomas Moniz's profile →
Citations per field
00.5×1.5×
Thomas 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 18 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

3 of 3 papers shown

About Matthew Ditmore

Matthew Ditmore is a scholar working on General Health Professions, Health Information Management, Geriatrics and Gerontology, Emergency Medical Services and Organizational Behavior and Human Resource Management, having authored 3 papers that have together received 449 indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (1 paper), Patient Safety and Medication Errors (1 paper), Patient-Provider Communication in Healthcare (1 paper), Patient Satisfaction in Healthcare (1 paper), Electronic Health Records Systems (1 paper) and Healthcare Systems and Technology (1 paper). The work is most often cited by research in Medical Laboratory Technology (49 citations), Emergency Medical Services (191 citations), Health Information Management (116 citations), Geriatrics and Gerontology (83 citations) and Medical Terminology (2 citations). Matthew Ditmore has collaborated with scholars based in United States. Frequent co-authors include Eric G. Poon, Judy Hayes, Tejal K. Gandhi, William Churchill, Carol Keohane, Thomas Moniz, Stuart R. Lipsitz, Anne Bane, Jeffrey M. Rothschild and Anthony D. Whittemore. Their work appears in journals such as New England Journal of Medicine and Obstetrical & Gynecological Survey.

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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