Davide Barbieri

11 papers receiving 279 citations

Peers

Davide Barbieri
Comparison fields: 5 of 75
  • Orthopedics and Sports Medicine 89
  • Health Informatics 10
  • Physical Therapy, Sports Therapy and Rehabilitation 25
  • Physiology 68
  • Life-span and Life-course Studies 2
Replace Matthew D. DeLang with:
Matthew D. DeLang United States
Gabriel Lozano‐Berges Spain
Fitim Arifi Montenegro
Marija Rakovac Croatia
Danielli Braga de Mello Brazil
Brooke Pengel United States
Dimakatso Ramagole South Africa
Dariusz Mucha Poland
Nuria Romero‐Parra Spain
Bahar Hassanmirzaei Iran
Davide Barbieri relative to Matthew D. DeLang United States Matthew D. DeLang's profile →
Citations per field
00.5×2×3×4×5×
Matthew D. DeLang · 1×
Citations per year

Countries citing papers authored by Davide Barbieri

Since Specialization
Citations

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

Fields of papers citing papers by Davide Barbieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 202166
2 201756
3 201454
4
Strength training for children and adolescents: benefits and risks.
201326
5 201222
6 201816
7 201415
8 202015
9 202111
10 20238
11 20222

About Davide Barbieri

Davide Barbieri is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Genetics, Health Informatics, Cardiology and Cardiovascular Medicine and Modeling and Simulation, having authored 11 papers that have together received 291 indexed citations. Recurring topics across this work include Cardiovascular Effects of Exercise (2 papers), Physical Education and Training Studies (2 papers), High Altitude and Hypoxia (2 papers), Genetics and Physical Performance (1 paper), Vaccine Coverage and Hesitancy (1 paper), COVID-19 epidemiological studies (1 paper), Adipose Tissue and Metabolism (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (89 citations), Health Informatics (10 citations), Physical Therapy, Sports Therapy and Rehabilitation (25 citations), Physiology (68 citations) and Life-span and Life-course Studies (2 citations). Davide Barbieri has collaborated with scholars based in Italy, Croatia and Switzerland. Frequent co-authors include Luciana Zaccagni, Emanuela Gualdi‐Russo, Stefania Toselli, Marija Rakovac, Annalisa Cogo, Marjeta Mišigoj‐Duraković, Saša Missoni, Jelena Šarac, Miran Čoklo and Amanda Losi. Their work appears in journals such as International Journal of Environmental Research and Public Health, High Altitude Medicine & Biology, Biology of Sport, European Journal of Preventive Cardiology and Journal of Translational 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.

Explore authors with similar magnitude of impact