A. Macerata

1.3k total citations
70 papers, 1.0k citations indexed

About

A. Macerata is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Surgery. According to data from OpenAlex, A. Macerata has authored 70 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cardiology and Cardiovascular Medicine, 22 papers in Biomedical Engineering and 16 papers in Surgery. Recurrent topics in A. Macerata's work include Heart Rate Variability and Autonomic Control (29 papers), ECG Monitoring and Analysis (16 papers) and Non-Invasive Vital Sign Monitoring (16 papers). A. Macerata is often cited by papers focused on Heart Rate Variability and Autonomic Control (29 papers), ECG Monitoring and Analysis (16 papers) and Non-Invasive Vital Sign Monitoring (16 papers). A. Macerata collaborates with scholars based in Italy, Sweden and Greece. A. Macerata's co-authors include Michele Emdin, M. Varanini, R. Balocchi, Carlo Marchesi, Clara Carpeggiani, Antonio L’Abbate, Stefania Camastra, Ele Ferrannini, Andrea Natali and Amalia Gastaldelli and has published in prestigious journals such as Circulation, European Heart Journal and The American Journal of Cardiology.

In The Last Decade

A. Macerata

64 papers receiving 969 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Macerata Italy 17 702 253 180 142 110 70 1.0k
Montserrat Vallverdú Spain 20 761 1.1× 281 1.1× 450 2.5× 89 0.6× 99 0.9× 112 1.4k
Dirk Cysarz Germany 21 949 1.4× 378 1.5× 392 2.2× 93 0.7× 63 0.6× 67 1.4k
M. Varanini Italy 20 674 1.0× 209 0.8× 474 2.6× 72 0.5× 159 1.4× 85 1.1k
Jarosław Piskorski Poland 17 1.1k 1.5× 470 1.9× 287 1.6× 121 0.9× 54 0.5× 81 1.4k
Raymond J. Morin United States 7 668 1.0× 235 0.9× 184 1.0× 115 0.8× 61 0.6× 8 831
Fabio Badilini United States 25 1.7k 2.4× 370 1.5× 192 1.1× 149 1.0× 40 0.4× 103 2.0k
Hilmi R. Dajani Canada 23 978 1.4× 815 3.2× 246 1.4× 358 2.5× 88 0.8× 96 1.5k
Saman Parvaneh United States 16 571 0.8× 189 0.7× 289 1.6× 60 0.4× 69 0.6× 58 1.1k
Rodrigo Varejão Andreão Brazil 18 864 1.2× 268 1.1× 332 1.8× 69 0.5× 96 0.9× 64 1.5k
Rico Schroeder Germany 18 1.3k 1.8× 494 2.0× 300 1.7× 145 1.0× 69 0.6× 43 1.5k

Countries citing papers authored by A. Macerata

Since Specialization
Citations

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

Fields of papers citing papers by A. Macerata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Macerata

This figure shows the co-authorship network connecting the top 25 collaborators of A. Macerata. A scholar is included among the top collaborators of A. Macerata 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 A. Macerata. A. Macerata 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.
Nacci, Andrea, A. Macerata, Luca Bastiani, et al.. (2020). Evaluation of the Electroglottographic Signal Variability in Organic and Functional Dysphonia. Journal of Voice. 36(6). 881.e5–881.e16. 4 indexed citations
2.
Nacci, Andrea, Salvatore Romeo, A. Macerata, et al.. (2019). Comparison of electroglottographic variability index in euphonic and pathological voice. Acta Otorhinolaryngologica Italica. 39(6). 381–388. 4 indexed citations
3.
Varanini, M., Gennaro Tartarisco, R. Balocchi, et al.. (2016). A new method for QRS complex detection in multichannel ECG: Application to self-monitoring of fetal health. Computers in Biology and Medicine. 85. 125–134. 23 indexed citations
4.
Varanini, M., Gennaro Tartarisco, Lucia Billeci, et al.. (2014). An efficient unsupervised fetal QRS complex detection from abdominal maternal ECG. Physiological Measurement. 35(8). 1607–1619. 77 indexed citations
5.
Varanini, M., Gennaro Tartarisco, Lucia Billeci, et al.. (2013). A multi-step approach for non-invasive fetal ECG analysis. CINECA IRIS Institutial research information system (University of Pisa). 40. 281–284. 39 indexed citations
6.
Santarcangelo, Enrica L., et al.. (2009). Modulation of the postural effects of cognitive load by hypnotizability. Experimental Brain Research. 194(2). 323–328. 9 indexed citations
7.
Santarcangelo, Enrica L., et al.. (2008). Hypnotizability-dependent modulation of postural control: effects of alteration of the visual and leg proprioceptive inputs. Experimental Brain Research. 191(3). 331–340. 28 indexed citations
8.
Varanini, M., et al.. (2008). Phase synchronization effects of a periodically stimulated sinus node model. 04-16–04-19. 1 indexed citations
9.
Balocchi, R., et al.. (2006). Revisiting the potential of time-domain indexes in short-term HRV analysis. Biomedizinische Technik/Biomedical Engineering. 51(4). 190–193. 39 indexed citations
10.
Carpeggiani, Clara, Michele Emdin, Patrizia Landi, et al.. (2005). Personality traits and heart rate variability predict long-term cardiac mortality after myocardial infarction. European Heart Journal. 26(16). 1612–1617. 58 indexed citations
11.
Amato, Giuseppe, et al.. (2005). Networking and data management for health care monitoring of mobile patients.. PubMed. 117. 191–7. 2 indexed citations
12.
Taddei, Antonio, P. Pisani, Silvia Francesca Storti, et al.. (2005). Laboratory data integration into medical record. 909–912. 2 indexed citations
13.
Carpeggiani, Clara, Antonio L’Abbate, Patrizia Landi, et al.. (2004). Early assessment of heart rate variability is predictive of in-hospital death and major complications after acute myocardial infarction. International Journal of Cardiology. 96(3). 361–368. 44 indexed citations
14.
Neglia, Danilo, Michela Gallopin, Paolo Marraccini, et al.. (2002). Effects of Intravenous Amlodipine on Coronary Hemodynamics in Subjects with Angiographically Normal Coronary Arteries. Journal of Cardiovascular Pharmacology. 39(6). 884–891. 3 indexed citations
15.
16.
Värri, Alpo, Günther Hellmann, Thomas Penzel, et al.. (1996). Object oriented design of a new, standard file exchange format for vital signs. Medical & Biological Engineering & Computing. 34. 407–408. 1 indexed citations
17.
Macerata, A., et al.. (1996). Estimation of the power spectral density in nonstationary cardiovascular time series: assessing the role of the time-frequency representations (TFR). IEEE Transactions on Biomedical Engineering. 43(1). 46–46. 91 indexed citations
18.
Lagi, Alfonso, et al.. (1994). Observations on the arterial baroreflex in neurally mediated vasodepressor syncope. Clinical Autonomic Research. 4(6). 307–309. 12 indexed citations
19.
Lagi, Alfonso, et al.. (1994). Power spectrum analysis of heart rate variations in the early detection of diabetic autonomic neuropathy. Clinical Autonomic Research. 4(5). 245–248. 11 indexed citations
20.
Picano, Eugenio, Ignazio Simonetti, Clara Carpeggiani, et al.. (1989). Regional and global biventricular function during dipyridamole stress testing. The American Journal of Cardiology. 63(7). 429–432. 25 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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