Agnese Sbrollini

1.2k total citations
98 papers, 768 citations indexed

About

Agnese Sbrollini is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Agnese Sbrollini has authored 98 papers receiving a total of 768 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Cardiology and Cardiovascular Medicine, 29 papers in Biomedical Engineering and 27 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Agnese Sbrollini's work include ECG Monitoring and Analysis (48 papers), Cardiac electrophysiology and arrhythmias (27 papers) and Heart Rate Variability and Autonomic Control (22 papers). Agnese Sbrollini is often cited by papers focused on ECG Monitoring and Analysis (48 papers), Cardiac electrophysiology and arrhythmias (27 papers) and Heart Rate Variability and Autonomic Control (22 papers). Agnese Sbrollini collaborates with scholars based in Italy, Netherlands and Switzerland. Agnese Sbrollini's co-authors include Laura Burattini, Micaela Morettini, Ilaria Marcantoni, Sandro Fioretti, Angela Agostinelli, Francesco Di Nardo, Cees A. Swenne, Selene Tomassini, Elvira Maranesi and Paola Pierleoni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and International Journal of Environmental Research and Public Health.

In The Last Decade

Agnese Sbrollini

87 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Agnese Sbrollini Italy 16 446 280 186 115 97 98 768
Micaela Morettini Italy 18 303 0.7× 248 0.9× 151 0.8× 104 0.9× 72 0.7× 120 887
Christophe L. Herry Canada 17 281 0.6× 141 0.5× 110 0.6× 137 1.2× 56 0.6× 67 878
Ebrahim Nemati United States 17 241 0.5× 481 1.7× 297 1.6× 27 0.2× 69 0.7× 62 1.1k
Edmond Zahedi Malaysia 16 421 0.9× 425 1.5× 99 0.5× 97 0.8× 137 1.4× 75 800
Andrea Bravi Canada 11 271 0.6× 128 0.5× 79 0.4× 39 0.3× 50 0.5× 17 517
R. González-Camarena Mexico 16 217 0.5× 109 0.4× 315 1.7× 65 0.6× 43 0.4× 55 617
Mohanad Alkhodari United Arab Emirates 13 222 0.5× 122 0.4× 272 1.5× 39 0.3× 107 1.1× 54 777
Volkan Tuzcu Türkiye 16 636 1.4× 115 0.4× 67 0.4× 30 0.3× 45 0.5× 68 851
Kari Antila Finland 21 633 1.4× 276 1.0× 82 0.4× 89 0.8× 83 0.9× 58 1.1k
B. Goldstein United States 17 482 1.1× 345 1.2× 59 0.3× 32 0.3× 131 1.4× 50 990

Countries citing papers authored by Agnese Sbrollini

Since Specialization
Citations

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

Fields of papers citing papers by Agnese Sbrollini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agnese Sbrollini

This figure shows the co-authorship network connecting the top 25 collaborators of Agnese Sbrollini. A scholar is included among the top collaborators of Agnese Sbrollini 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 Agnese Sbrollini. Agnese Sbrollini 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.
Sbrollini, Agnese, et al.. (2024). Assessing cardiac risk during sport through wearable sensors and portable devices. Journal of Electrocardiology. 84. 10–10. 1 indexed citations
2.
Sbrollini, Agnese, Micaela Morettini, & Laura Burattini. (2024). Into-the-Field Assessment of Maximal Heart Rate During Exercise. Computing in cardiology. 51.
3.
Sbrollini, Agnese, Laura Burattini, & Cees A. Swenne. (2024). Role of the Historical Electrocardiogram in Identifying Acute Coronary Syndrome. Computing in cardiology. 51.
4.
Sbrollini, Agnese, et al.. (2024). The Prognostic Value of Electrocardiographic Alternans in the Primary Prevention on Patients Having an Implantable Cardioverter Defibrillator. Università Politecnica delle Marche (Università Politecnica delle Marche). 1–6.
5.
Sbrollini, Agnese, Micaela Morettini, Samanta Rosati, et al.. (2024). Acquisition Devices for Fetal Phonocardiography: A Scoping Review. Bioengineering. 11(4). 367–367.
6.
Marcantoni, Ilaria, et al.. (2024). Normalization of Electrocardiogram-Derived Cardiac Risk Indices: A Scoping Review of the Open-Access Literature. Applied Sciences. 14(20). 9457–9457. 2 indexed citations
7.
Tomassini, Selene, et al.. (2023). Segmentation of Anatomical Structures of the Left Heart from Echocardiographic Images Using Deep Learning. Diagnostics. 13(10). 1683–1683. 14 indexed citations
8.
Sbrollini, Agnese, et al.. (2023). Leukocyte classification for acute lymphoblastic leukemia timely diagnosis by interpretable artificial neural network. Journal of Autonomous Intelligence. 6(1). 594–594. 2 indexed citations
9.
Sbrollini, Agnese, Micaela Morettini, Ennio Gambi, et al.. (2023). Sport DB 2.0: A New Database of Data Acquired by Wearable and Portable Devices While Practicing Sport. Computing in cardiology. 50. 1 indexed citations
10.
Sbrollini, Agnese, et al.. (2023). Symbolic Analysis of Heart-Rate Variability during Training and Competition in Short Distance Running. Università Politecnica delle Marche (Università Politecnica delle Marche). 585–588. 2 indexed citations
11.
Tomassini, Selene, et al.. (2023). A Double-Stage 3D U-Net for On-Cloud Brain Extraction and Multi-Structure Segmentation from 7T MR Volumes. Information. 14(5). 282–282. 1 indexed citations
12.
13.
Sbrollini, Agnese, et al.. (2022). Initial Reference Values of Electrocardiographic Alternans by Enhanced Adaptive Matched Filter. Computing in cardiology. 1 indexed citations
14.
Sbrollini, Agnese, et al.. (2020). Annotation dataset of the cardiotocographic recordings constituting the “CTU-CHB intra-partum CTG database”. SHILAP Revista de lepidopterología. 31. 105690–105690. 15 indexed citations
15.
Peters, Ron J.G., Agnese Sbrollini, Rob Adams, et al.. (2019). An initial exploration of subtraction electrocardiography to detect myocardial ischemia in the prehospital setting. Annals of Noninvasive Electrocardiology. 25(3). e12722–e12722. 8 indexed citations
16.
Pierleoni, Paola, et al.. (2019). Real-time smart monitoring system for atrial fibrillation pathology. Journal of Ambient Intelligence and Humanized Computing. 12(4). 4461–4469. 6 indexed citations
17.
Sbrollini, Agnese, et al.. (2019). Digital cardiotocography: What is the optimal sampling frequency?. Biomedical Signal Processing and Control. 51. 210–215. 13 indexed citations
18.
Sbrollini, Agnese, Angela Agostinelli, Ilaria Marcantoni, et al.. (2018). eCTG: an automatic procedure to extract digital cardiotocographic signals from digital images. Computer Methods and Programs in Biomedicine. 156. 133–139. 19 indexed citations
19.
Sbrollini, Agnese, Annachiara Strazza, Selene Tomassini, et al.. (2017). Fetal Phonocardiogram Denoising by Wavelet Transformation: Robustness to Noise. Computing in cardiology. 44. 18 indexed citations
20.
Burattini, Laura, et al.. (2015). Cleaning the electrocardiographic signal from muscular noise. Università Politecnica delle Marche (Università Politecnica delle Marche). 57–61. 3 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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