Thomas Moniz

12 papers receiving 595 citations

Thomas Moniz's Hit Papers

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

Peers

Thomas Moniz
Comparison fields: 5 of 79
  • Medical Laboratory Technology 52
  • Geriatrics and Gerontology 114
  • Emergency Medical Services 218
  • Health Information Management 129
  • Family Practice 17
Replace Anne Bane with:
Anne Bane United States
Jennifer L. Cina United States
Allen J. Vaida United States
Matthew Ditmore United States
Thibaut Caruba France
Judy Hayes United States
Harold J. DeMonaco United States
Anne Bobb United States
Marian Smeulers Netherlands
Monsey McLeod United Kingdom
Thomas Moniz relative to Anne Bane United States Anne Bane's profile →
Citations per field
00.5×1.5×2.3×
Anne Bane · 1×
Citations per year

Countries citing papers authored by Thomas Moniz

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Moniz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
Effect of Bar-Code Technology on the Safety of Medication Administration
Hit paper breakdown →
2010387
2 201154
3 200949
4 201436
5 202231
6 201030
7 201428
8 200813
9 20094
10 20243
11 20251
12 20231

About Thomas Moniz

Thomas Moniz is a scholar working on General Health Professions, Health Information Management, Emergency Medical Services, Surgery and Family Practice, having authored 12 papers that have together received 637 indexed citations. Recurring topics across this work include Health Policy Implementation Science (3 papers), Electronic Health Records Systems (2 papers), Genomics and Rare Diseases (1 paper), Pharmaceutical Practices and Patient Outcomes (1 paper), Patient Safety and Medication Errors (1 paper), Disaster Response and Management (1 paper), Heparin-Induced Thrombocytopenia and Thrombosis (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Medical Laboratory Technology (52 citations), Geriatrics and Gerontology (114 citations), Emergency Medical Services (218 citations), Health Information Management (129 citations) and Family Practice (17 citations). Thomas Moniz has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Carol Keohane, Jeffrey M. Rothschild, David W. Bates, Eric G. Poon, Judy Hayes, Matthew Ditmore, Stuart R. Lipsitz, Anne Bane, Allen Kachalia and Catherine Yoon. Their work appears in journals such as American Journal of Health-System Pharmacy, The Journal of Pediatrics, The Joint Commission Journal on Quality and Patient Safety, Obstetrical & Gynecological Survey and European Journal of Human Genetics.

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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