M D’Addario

862 citations
14 papers · 627 indexed · 1 hit paper · h-index 9

M D’Addario

14 papers receiving 619 citations

Hit Papers

Methods to systematically review and meta-analyse observa...282201820262020202350100150200250

Peers

M D’Addario
Comparison fields: 5 of 134
  • Statistics, Probability and Uncertainty 77
  • Health 38
  • Epidemiology 154
  • Geriatrics and Gerontology 16
  • Public Health, Environmental and Occupational Health 108
Replace Annalisa Rosso with:
Annalisa Rosso Italy
Richard Morley United Kingdom
Jesús Martín‐Fernández Spain
B. Roehr United States
Daeria O. Lawson Canada
Stanley D. Musgrave United Kingdom
Jaleh Gholami Iran
Michael Curry United States
Jorge Acosta‐Reyes Colombia
Mary Waterhouse Australia
M D’Addario relative to Annalisa Rosso Italy Annalisa Rosso's profile →
Citations per field
00.5×2.7×
Annalisa Rosso · 1×
Citations per year

Countries citing papers authored by M D’Addario

Since Specialization
Citations

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

Fields of papers citing papers by M D’Addario

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M D’Addario. 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 M D’Addario. The network helps show where M D’Addario may publish in the future.

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1
Methods to systematically review and meta-analyse observational studies: a systematic scoping review of recommendationsbreakdown →
2018282
2 201747
3 201517
4 201421
5 201471
6 20148
7 201346
8 20134
9 20136
10 201223
11 201110
12 201186
13
User-centered design for citizens empowerment through the portal of the italian ministry of health
20111
14
[The adjuvant therapy of colonic carcinoma in old age].
20005

About M D’Addario

M D’Addario is a scholar working on Statistics, Probability and Uncertainty, Radiological and Ultrasound Technology and Human-Computer Interaction, having authored 14 papers that have together received 627 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (3 papers), Ethics in Clinical Research (3 papers), Influenza Virus Research Studies (2 papers), Respiratory viral infections research (2 papers), BRCA gene mutations in cancer (2 papers), Health and Medical Research Impacts (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Air Quality and Health Impacts (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (77 citations), Health (38 citations) and Epidemiology (154 citations). M D’Addario has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Pippa Scott, Paolo Villari, Matthias Egger, Olaf M. Dekkers, Myriam Cevallos, Catrina Mugglin, Monika Mueller, Corrado De Vito, Lamberto Manzoli and John P. A. Ioannidis. Their work appears in journals such as European Journal of Public Health, PLoS ONE, BMC Health Services Research, Vaccine and Preventive 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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