Rita Banzi

5.5k citations
88 papers · 3.4k indexed · 3 hit papers · h-index 28

Rita Banzi

85 papers receiving 3.3k citations

Hit Papers

The revised Cochrane risk of bias tool for ...2912014202620182022100200300400500

Peers

Rita Banzi
Comparison fields: 5 of 169
  • Statistics, Probability and Uncertainty 199
  • Health Informatics 36
  • Microbiology 166
  • Epidemiology 893
  • Health Information Management 113
Replace Jennifer S Lin with:
Jennifer S Lin United States
Ken Redekop Netherlands
Nancy A Dreyer United States
Alexander Tsertsvadze Canada
James Stevermer United States
Shirley Wang United States
Alfred O. Berg United States
Tim Friede Germany
Kamal R Mahtani United Kingdom
Abraham G. Hartzema United States
Rita Banzi relative to Jennifer S Lin United States Jennifer S Lin's profile →
Citations per field
00.5×1.5×2.4×
Jennifer S Lin · 1×
Citations per year

Countries citing papers authored by Rita Banzi

Since Specialization
Citations

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

Fields of papers citing papers by Rita Banzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20234
4 20232
5 20224
6 202217
7 202119
8 20211
9 202140
10 20203
11 202081
12 20161
13 20161
14 201649
15 201613
16 201618
17 201518
18 2011113
19 201060
20 200311

About Rita Banzi

Rita Banzi is a scholar working on Statistics, Probability and Uncertainty, Health Information Management and Health Informatics, having authored 88 papers that have together received 3.4k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (17 papers), Meta-analysis and systematic reviews (14 papers), Pharmaceutical Economics and Policy (12 papers), Health Sciences Research and Education (8 papers), Electronic Health Records Systems (7 papers), Clinical practice guidelines implementation (7 papers), Healthcare Systems and Technology (6 papers) and Cholinesterase and Neurodegenerative Diseases (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (199 citations), Health Informatics (36 citations) and Microbiology (166 citations). Rita Banzi has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Silvia Minozzi, Lorenzo Moja, Marien González‐Lorenzo, Michela Cinquini, Peter J.F. Snijders, Viola M.J. Verhoef, Silvia Gianola, Koren Hyogene Kwag, V.L. Pecoraro and Silvio Garattini. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurology and Scientific Reports.

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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