Leandro Pecchia

138 papers receiving 3.5k citations

Peers

Leandro Pecchia
Comparison fields: 5 of 180
  • Health Informatics 106
  • Medical Laboratory Technology 120
  • Cardiology and Cardiovascular Medicine 1.5k
  • Health Information Management 259
  • Physical Therapy, Sports Therapy and Rehabilitation 149
Replace Bert Arnrich with:
Bert Arnrich Germany
Manolis Tsiknakis Greece
Begonya García-Zapirain Spain
Douglas A. Wiegmann United States
Leighton Chan United States
Nicos Maglaveras Greece
Wei Chen China
Ioanna Chouvarda Greece
Amir M. Rahmani United States
Jessilyn Dunn United States
Leandro Pecchia relative to Bert Arnrich Germany Bert Arnrich's profile →
Citations per field
00.5×4.8×
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Citations per year

Countries citing papers authored by Leandro Pecchia

Since Specialization
Citations

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

Fields of papers citing papers by Leandro Pecchia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015366
2 2011232
3 2019164
4 2015144
5 2013136
6 2020128
7 2018121
8 2012112
9 2016101
10 201989
11 201086
12 201883
13 201883
14 201082
15 201681
16 201080
17 202178
18 201170
19 201366
20 201954

About Leandro Pecchia

Leandro Pecchia is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Public Health, Environmental and Occupational Health, Economics and Econometrics and Surgery, having authored 150 papers that have together received 3.6k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (29 papers), Non-Invasive Vital Sign Monitoring (22 papers), ECG Monitoring and Analysis (17 papers), Health Systems, Economic Evaluations, Quality of Life (15 papers), Quality and Safety in Healthcare (13 papers), Biomedical and Engineering Education (10 papers), Diabetes Management and Research (9 papers) and Balance, Gait, and Falls Prevention (8 papers). The work is most often cited by research in Health Informatics (106 citations), Medical Laboratory Technology (120 citations), Cardiology and Cardiovascular Medicine (1.5k citations), Health Information Management (259 citations) and Physical Therapy, Sports Therapy and Rehabilitation (149 citations). Leandro Pecchia has collaborated with scholars based in United Kingdom, Italy and Spain. Frequent co-authors include Paolo Melillo, Rossana Castaldo, Marcello Bracale, Luis Montesinos, Umberto Bracale, Sebastiano Massaro, Nicola De Luca, Maria Triassi, Mary T. Caserta and Ernesto Iadanza. Their work appears in journals such as Biomedical Signal Processing and Control, Scientific Reports, IEEE Access, BMC Medical Informatics and Decision Making and IEEE Journal of Biomedical and Health Informatics.

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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