Agostino Accardo

2.8k total citations · 1 hit paper
139 papers, 1.8k citations indexed

About

Agostino Accardo is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Agostino Accardo has authored 139 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 29 papers in Biomedical Engineering and 25 papers in Cognitive Neuroscience. Recurrent topics in Agostino Accardo's work include Heart Rate Variability and Autonomic Control (25 papers), EEG and Brain-Computer Interfaces (15 papers) and Non-Invasive Vital Sign Monitoring (11 papers). Agostino Accardo is often cited by papers focused on Heart Rate Variability and Autonomic Control (25 papers), EEG and Brain-Computer Interfaces (15 papers) and Non-Invasive Vital Sign Monitoring (11 papers). Agostino Accardo collaborates with scholars based in Italy, United States and Brazil. Agostino Accardo's co-authors include Miloš Ajčević, Francesco Brun, Diego Dreossi, Roberto Pugliese, Paolo Manganotti, Alex Buoite Stella, Giovanni Furlanis, Stefano Pensiero, Gianluca Turco and Sergio Paoletti and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Agostino Accardo

129 papers receiving 1.7k citations

Hit Papers

Optimization of hepatological clinical guidelines interpr... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Agostino Accardo Italy 22 398 281 273 201 171 139 1.8k
M. Tenhunen Finland 21 369 0.9× 310 1.1× 179 0.7× 224 1.1× 222 1.3× 73 1.3k
Martin Engelhardt Germany 26 519 1.3× 69 0.2× 113 0.4× 204 1.0× 245 1.4× 140 2.7k
Philip M. Robson United States 26 327 0.8× 81 0.3× 353 1.3× 1.5k 7.7× 90 0.5× 92 2.8k
Thomas Lange Germany 32 527 1.3× 409 1.5× 92 0.3× 590 2.9× 77 0.5× 163 4.0k
Etsuko Kobayashi Japan 28 1.1k 2.8× 80 0.3× 166 0.6× 381 1.9× 76 0.4× 194 3.0k
Anil Kumar Sharma India 26 157 0.4× 119 0.4× 116 0.4× 85 0.4× 199 1.2× 119 2.3k
Sarah McGuire United States 23 246 0.6× 275 1.0× 40 0.1× 409 2.0× 198 1.2× 43 1.7k
Michael Lawson United States 16 170 0.4× 218 0.8× 70 0.3× 704 3.5× 70 0.4× 48 1.7k
Nina Timmesfeld Germany 28 142 0.4× 248 0.9× 168 0.6× 163 0.8× 27 0.2× 172 3.0k
Huub Maas Netherlands 33 1.5k 3.9× 559 2.0× 253 0.9× 150 0.7× 29 0.2× 150 3.8k

Countries citing papers authored by Agostino Accardo

Since Specialization
Citations

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

Fields of papers citing papers by Agostino Accardo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agostino Accardo

This figure shows the co-authorship network connecting the top 25 collaborators of Agostino Accardo. A scholar is included among the top collaborators of Agostino Accardo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Agostino Accardo. Agostino Accardo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Miladinović, Aleksandar, Massimo Zecchin, Chiara Baggio, et al.. (2025). Enhancing differential diagnosis of IHD and DCM using interpretable machine learning in mildly reduced ejection fraction. Journal of Cardiovascular Medicine. 26(11). 640–648.
2.
Stella, Alex Buoite, et al.. (2024). Impact of Physiotherapy on Shoulder Kinematics in Swimmers with Swimmer’s Shoulder Pain. Sensors. 24(24). 7936–7936.
3.
Miladinović, Aleksandar, Giovanni Furlanis, Marcello Naccarato, et al.. (2024). Optimizing machine learning models for classification of stroke patients with epileptiform EEG pattern: the impact of dataset balancing techniques. Procedia Computer Science. 246. 4600–4609.
4.
Miladinović, Aleksandar, et al.. (2024). Optimizing Real-Time MI-BCI Performance in Post-Stroke Patients: Impact of Time Window Duration on Classification Accuracy and Responsiveness. Sensors. 24(18). 6125–6125. 7 indexed citations
5.
Miladinović, Aleksandar, et al.. (2024). Non-Invasive Recording of Ocular-Following Responses in Children: A Promising Tool for Stereo Deficiency Evaluation. Journal of Clinical Medicine. 13(6). 1596–1596.
8.
Deodato, Manuela, et al.. (2023). Inertial Sensors and Pressure Pain Threshold to Evaluate People with Primary Adhesive Capsulitis: Comparison with Healthy Controls and Effects of a Physiotherapy Protocol. Journal of Functional Morphology and Kinesiology. 8(4). 142–142. 2 indexed citations
9.
Miladinović, Aleksandar, et al.. (2021). Ambulatory blood pressure monitoring versus office blood pressure measurement: Are there sex differences?. arXiv (Cornell University). 1 indexed citations
10.
Ajčević, Miloš, Riccardo Candido, Roberta Assaloni, Agostino Accardo, & Maria Pia Francescato. (2020). Personalized Approach for the Management of Exercise-Related Glycemic Imbalances in Type 1 Diabetes: Comparison with Reference Method. Journal of Diabetes Science and Technology. 15(5). 1153–1160. 1 indexed citations
11.
Francescato, Maria Pia, Miloš Ajčević, & Agostino Accardo. (2019). Carbohydrate Requirement for Exercise in Type 1 Diabetes: Effects of Insulin Concentration. Journal of Diabetes Science and Technology. 14(6). 1116–1121. 5 indexed citations
12.
Marceglia, Sara, et al.. (2018). Multi-criteria decision analysis for the assessment of non-clinical hospital services: Methodology and case study. Operations Research for Health Care. 23. 100171–100171. 6 indexed citations
13.
Accardo, Agostino, et al.. (2014). HRV spectral and fractal analysis in heart failure patients with different aetiologies. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 421–424. 3 indexed citations
14.
Felice, Alberto De, et al.. (2014). HRV analysis in obstructive sleep apnea syndrome by means of LF/HF ratio and fractal dimension. European Respiratory Journal. 44(Suppl 58). P1754–P1754.
15.
Felice, Alberto De, et al.. (2013). Fractal behaviour of heart rate variability reflects abnormal respiration patterns in OSAS patients. European Respiratory Journal. 42(Suppl 57). P2560–P2560. 4 indexed citations
16.
Brun, Francesco, Agostino Accardo, Maurizio Marchini, et al.. (2010). Texture analysis of TEM micrographs of alginate gels for cell microencapsulation. Microscopy Research and Technique. 74(1). 58–66. 9 indexed citations
17.
Maestro, Alessandra, et al.. (2010). A web-based system for Total Parenteral Nutrition prescription in a pediatric hospital. 46. 259–263. 1 indexed citations
18.
Accardo, Agostino, et al.. (2010). Relationship between fractal dimension and power-law exponent of heart rate variability in normal and heart failure subjects. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 37. 935–938. 16 indexed citations
19.
D’Addio, Giovanni, Agostino Accardo, Graziamaria Corbi, et al.. (2006). Effects of stroke localization on nonlinear indexes of HRV. Computing in Cardiology Conference. 33. 621–624. 1 indexed citations
20.
Toffanin, Renato, et al.. (2005). Numerical simulation of trabecular bone magnetic resonance imaging. PubMed. 3. 1088–1091. 1 indexed citations

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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