Leonardo D’Acquisto

42 papers receiving 595 citations

Peers

Leonardo D’Acquisto
Comparison fields: 5 of 88
  • Cardiology and Cardiovascular Medicine 130
  • Biomedical Engineering 252
  • Mechanics of Materials 128
  • Civil and Structural Engineering 81
  • Computer Vision and Pattern Recognition 62
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Minhhuy Le South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Leonardo D’Acquisto

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo D’Acquisto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202164
2 202360
3 200756
4 202051
5 201049
6 201329
7 201727
8 200225
9 200720
10 201418
11 200817
12 200317
13 200717
14 201715
15 200715
16 200214
17 200112
18 202011
19 20199
20 20088

About Leonardo D’Acquisto

Leonardo D’Acquisto is a scholar working on Biomedical Engineering, Cardiology and Cardiovascular Medicine, Mechanical Engineering, Mechanics of Materials and Electrical and Electronic Engineering, having authored 45 papers that have together received 612 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (10 papers), Heart Rate Variability and Autonomic Control (7 papers), Advanced Fiber Optic Sensors (6 papers), Advanced Measurement and Metrology Techniques (5 papers), Metal Forming Simulation Techniques (5 papers), Structural Health Monitoring Techniques (5 papers), Ultrasonics and Acoustic Wave Propagation (5 papers) and Hemodynamic Monitoring and Therapy (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (130 citations), Biomedical Engineering (252 citations), Mechanics of Materials (128 citations), Civil and Structural Engineering (81 citations) and Computer Vision and Pattern Recognition (62 citations). Leonardo D’Acquisto has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Francesco Scardulla, Roberto Montanini, Salvatore Pasta, Susanna Spinsante, Gloria Cosoli, Lorenzo Scalise, Livan Fratini, Diego Bellavia, B. Zuccarello and A. Ajovalasit. Their work appears in journals such as Sensors, Measurement, The Journal of Strain Analysis for Engineering Design, Smart Materials and Structures and Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in 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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