Riccardo Moretti

998 total citations
45 papers, 661 citations indexed

About

Riccardo Moretti is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Riccardo Moretti has authored 45 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 12 papers in Biomedical Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Riccardo Moretti's work include Advanced Memory and Neural Computing (6 papers), Chaos-based Image/Signal Encryption (6 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Riccardo Moretti is often cited by papers focused on Advanced Memory and Neural Computing (6 papers), Chaos-based Image/Signal Encryption (6 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Riccardo Moretti collaborates with scholars based in Italy, Lebanon and Spain. Riccardo Moretti's co-authors include Barbara Pizzi, Nicoletta Vivaldi, Ada Fort, Valerio Vignoli, Marco Mugnaini, Tommaso Addabbo, Elia Landi, Lorenzo Parri, A. Tesi and Luca Pancioni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Riccardo Moretti

39 papers receiving 644 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Riccardo Moretti Italy 9 387 145 100 98 67 45 661
Charlene Ong United States 14 322 0.8× 44 0.3× 26 0.3× 30 0.3× 67 1.0× 37 675
B. Goldstein United States 17 194 0.5× 196 1.4× 58 0.6× 77 0.8× 56 0.8× 50 990
Vidur Mahajan India 7 194 0.5× 59 0.4× 18 0.2× 14 0.1× 334 5.0× 18 799
В. В. Крылов Russia 11 97 0.3× 73 0.5× 12 0.1× 17 0.2× 10 0.1× 77 497
Florent Lalys France 18 151 0.4× 328 2.3× 3 0.0× 49 0.5× 130 1.9× 32 848
Françoise J. Siepel Netherlands 15 151 0.4× 109 0.8× 10 0.1× 32 0.3× 134 2.0× 39 621
Takeshi Kasai Japan 10 44 0.1× 58 0.4× 23 0.2× 10 0.1× 12 0.2× 54 508
Don Krieger United States 15 211 0.5× 232 1.6× 10 0.1× 118 1.2× 47 0.7× 51 809
Micah Davis United States 12 102 0.3× 256 1.8× 19 0.2× 110 1.1× 557 8.3× 14 1.3k

Countries citing papers authored by Riccardo Moretti

Since Specialization
Citations

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

Fields of papers citing papers by Riccardo Moretti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo Moretti

This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo Moretti. A scholar is included among the top collaborators of Riccardo Moretti 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 Riccardo Moretti. Riccardo Moretti 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.
Fort, Ada, Elia Landi, Riccardo Moretti, Paolo Carbone, & Antonio Moschitta. (2025). Damped Sine Wave Parameter Extraction: Application to QCM-D Signals for Accurate Measurements. IEEE Transactions on Instrumentation and Measurement. 74. 1–15.
2.
Potenza, Rossella, Marco Andolfi, Andrea Dell’Amore, et al.. (2024). Unlocking the Potential of Computed Tomography-Guided Tracers in Pinpointing Lung Lesions during Surgery: A Collaborative Multi-Institutional Journey. Journal of Clinical Medicine. 13(20). 6041–6041.
3.
Fort, Ada, Elia Landi, Riccardo Moretti, et al.. (2024). Influence of Front-End Electronics on Metrological Performance of QCM Systems. Sensors. 24(11). 3401–3401. 3 indexed citations
4.
Fort, Ada, Elia Landi, Riccardo Moretti, et al.. (2024). QCM measurement systems: Problems and performance analysis. Institutional Research Information System (Università degli Studi di Brescia). 1–6. 2 indexed citations
5.
Landi, Elia, Riccardo Moretti, Ada Fort, Antonio Moschitta, & Paolo Carbone. (2024). Accurate Fitting Techniques for QCM-D Response Analysis. Use Siena air (University of Siena). 1–6. 2 indexed citations
6.
Moretti, Riccardo, et al.. (2024). Development of a Low-Cost Portable QCM Biosensing System for On-Site Diagnostics. 1–8. 2 indexed citations
7.
Landi, Elia, Tommaso Lisini Baldi, Riccardo Moretti, et al.. (2024). A Method for Sensing Passive Joints of Robotic Extra Fingers for Trajectory Tracking. Use Siena air (University of Siena). 562–567. 4 indexed citations
8.
9.
Addabbo, Tommaso, Elia Landi, Riccardo Moretti, et al.. (2023). A Low-Complexity FPGA-Based Neural Network for Hand-Arm Vibrations Classification. Use Siena air (University of Siena). 2020. 19–23.
10.
Addabbo, Tommaso, Ada Fort, Elia Landi, et al.. (2022). Strategies for the Accurate Measurement of the Resonance Frequency in QCM-D Systems via Low-Cost Digital Techniques. Sensors. 22(15). 5728–5728. 12 indexed citations
11.
Marco, Mauro Di, Mauro Forti, Riccardo Moretti, et al.. (2022). Convergence of a Class of Delayed Neural Networks with Real Memristor Devices. Mathematics. 10(14). 2439–2439. 2 indexed citations
12.
Landi, Elia, Lorenzo Parri, Riccardo Moretti, et al.. (2022). High Performance Analog MEMS for IoT Based Condition Monitoring, Characterization with a Bearing Failure Emulation Test Bench. Use Siena air (University of Siena). 1–5. 8 indexed citations
13.
Fort, Ada, Elia Landi, Riccardo Moretti, et al.. (2022). Hand-Arm Vibration Monitoring via Embedded Machine Learning on Low Power Wearable Devices. Use Siena air (University of Siena). 1–6. 3 indexed citations
14.
Divisi, Duilio, Gino Zaccagna, Chiara Angeletti, et al.. (2021). Pleural empyema associated with alveolar‐pleural fistulas in severe acute respiratory syndrome coronavirus 2. SHILAP Revista de lepidopterología. 9(6). e04262–e04262. 6 indexed citations
15.
Moretti, Riccardo & Barbara Pizzi. (2011). Ultrasonography of the optic nerve in neurocritically ill patients. Acta Anaesthesiologica Scandinavica. 55(6). 644–652. 130 indexed citations
16.
Moretti, Riccardo, et al.. (2011). Coupled plasma filtration-adsorption in Weil's syndrome: case report.. PubMed. 77(8). 846–9. 5 indexed citations
17.
Moretti, Riccardo & Barbara Pizzi. (2010). Inferior Vena Cava Distensibility as a Predictor of Fluid Responsiveness in Patients with Subarachnoid Hemorrhage. Neurocritical Care. 13(1). 3–9. 80 indexed citations
18.
Moretti, Riccardo, et al.. (2009). Reliability of Optic Nerve Ultrasound for the Evaluation of Patients with Spontaneous Intracranial Hemorrhage. Neurocritical Care. 11(3). 406–410. 179 indexed citations
19.
Moretti, Riccardo & Barbara Pizzi. (2008). Optic Nerve Ultrasound for Detection of Intracranial Hypertension in Intracranial Hemorrhage Patients. Journal of Neurosurgical Anesthesiology. 21(1). 16–20. 112 indexed citations
20.
Volpini, M, Marco Gargano, Claudio Cuccia, et al.. (1989). Acute hemodynamic effects of intravenous captopril in patients with chronic congestive heart failure. 34(6). 517–523. 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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