Daniela De Venuto

1.7k total citations
121 papers, 935 citations indexed

About

Daniela De Venuto is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cognitive Neuroscience. According to data from OpenAlex, Daniela De Venuto has authored 121 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Electrical and Electronic Engineering, 52 papers in Biomedical Engineering and 26 papers in Cognitive Neuroscience. Recurrent topics in Daniela De Venuto's work include EEG and Brain-Computer Interfaces (25 papers), Integrated Circuits and Semiconductor Failure Analysis (23 papers) and Neuroscience and Neural Engineering (17 papers). Daniela De Venuto is often cited by papers focused on EEG and Brain-Computer Interfaces (25 papers), Integrated Circuits and Semiconductor Failure Analysis (23 papers) and Neuroscience and Neural Engineering (17 papers). Daniela De Venuto collaborates with scholars based in Italy, Mexico and Switzerland. Daniela De Venuto's co-authors include Valerio F. Annese, B. Riccò, Tom Chen, E. Stikvoort, Alberto Sangiovanni‐Vincentelli, Sandro Carrara, Y.V. Ponomarev, Jan M. Rabaey, Maher Kayal and Giovanni De Micheli and has published in prestigious journals such as Sensors, IEEE Transactions on Instrumentation and Measurement and IEEE Sensors Journal.

In The Last Decade

Daniela De Venuto

113 papers receiving 905 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela De Venuto Italy 19 394 364 257 204 84 121 935
Hsi‐Pin Ma Taiwan 15 423 1.1× 281 0.8× 108 0.4× 48 0.2× 13 0.2× 81 965
Herming Chiueh Taiwan 14 231 0.6× 332 0.9× 302 1.2× 262 1.3× 43 0.5× 74 738
Farzan Majeed Noori Norway 17 553 1.4× 47 0.1× 404 1.6× 75 0.4× 11 0.1× 36 937
Tao Xue China 12 171 0.4× 129 0.4× 46 0.2× 15 0.1× 8 0.1× 65 520
M. Stevenson Canada 14 547 1.4× 83 0.2× 389 1.5× 282 1.4× 3 0.0× 34 1.0k
F. Brunetti Spain 13 1.1k 2.9× 337 0.9× 85 0.3× 171 0.8× 38 0.5× 30 1.3k
R. Dilmaghani United Kingdom 12 188 0.5× 228 0.6× 89 0.3× 21 0.1× 8 0.1× 26 678
Koichi Tanno Japan 13 296 0.8× 236 0.6× 136 0.5× 26 0.1× 3 0.0× 105 574
Hegao Cai China 15 402 1.0× 33 0.1× 153 0.6× 121 0.6× 27 0.3× 41 654
Lei Yao China 16 279 0.7× 381 1.0× 187 0.7× 286 1.4× 6 0.1× 78 691

Countries citing papers authored by Daniela De Venuto

Since Specialization
Citations

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

Fields of papers citing papers by Daniela De Venuto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela De Venuto. 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 Daniela De Venuto. The network helps show where Daniela De Venuto may publish in the future.

Co-authorship network of co-authors of Daniela De Venuto

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela De Venuto. A scholar is included among the top collaborators of Daniela De Venuto 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 Daniela De Venuto. Daniela De Venuto 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.
Mongiello, Marina, et al.. (2024). A Novel Approach for Fast and Secure Data Transmission using Blockchain and IoT. 1–4. 3 indexed citations
2.
3.
Barbareschi, Mario, et al.. (2023). A real-time vital control module to increase capabilities of railway control systems in highly automated train operations. Real-Time Systems. 59(4). 636–661. 2 indexed citations
4.
Venuto, Daniela De, et al.. (2023). Wearable and Flexible Fibrosis Cystic Tag with Potentiometric Chloride Activity Sensing. Åbo Akademi University Research Portal. 2. 115–120. 1 indexed citations
5.
Venuto, Daniela De, et al.. (2021). A Single-Trial P300 Detector Based on Symbolized EEG and Autoencoded-(1D)CNN to Improve ITR Performance in BCIs. Sensors. 21(12). 3961–3961. 15 indexed citations
6.
7.
Venuto, Daniela De, et al.. (2020). Semi-Autonomous Personal Care Robots Interface driven by EEG Signals Digitization. 264–269. 2 indexed citations
8.
Venuto, Daniela De, Stefano Ricci, Attilio Frangi, et al.. (2019). “Medical Assistance in Contextual awareness” (AMICO): a project for a better cardiopathic patients quality of care. Florence Research (University of Florence). 6 indexed citations
9.
Venuto, Daniela De, et al.. (2018). Real‐time P300‐based BCI in mechatronic control by using a multi‐dimensional approach. IET Software. 12(5). 418–424. 9 indexed citations
10.
Venuto, Daniela De, et al.. (2017). Automatic 3D Design for Efficiency Optimization of a Class E Power Amplifier. IEEE Transactions on Circuits & Systems II Express Briefs. 65(2). 201–205. 6 indexed citations
11.
Annese, Valerio F., Marco Crepaldi, Danilo Demarchi, & Daniela De Venuto. (2016). A Digital Processor Architecture for Combined EEG/EMG Falling Risk Prediction. 714–719. 22 indexed citations
12.
Annese, Valerio F. & Daniela De Venuto. (2015). Gait analysis for fall prediction using EMG triggered movement related potentials. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1–6. 23 indexed citations
13.
Annese, Valerio F., Daniela De Venuto, Crystal L. Martin, & David R. S. Cumming. (2014). Biodegradable pressure sensor for health-care. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 14 indexed citations
14.
Venuto, Daniela De & Alberto Sangiovanni‐Vincentelli. (2013). Dr. Frankensteins Dream Made Possible Implanted Electronic Devices. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013. 1531–1536. 14 indexed citations
15.
Venuto, Daniela De, et al.. (2010). 0.8 μW 12-bit SAR ADC sensors interface for RFID applications. Microelectronics Journal. 41(11). 746–751. 23 indexed citations
16.
Rutigliano, Vincenzo, et al.. (2010). Eosinophilic esophagitis and celiac disease. True association or the bias of screening. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 42. 322–323. 1 indexed citations
17.
Lombardi, G., Vincenzo Rutigliano, Graziella Guariso, et al.. (2007). Reflux oesophagitis in children; the role of endoscopy. Digestive and Liver Disease. 39(9). 864–871. 7 indexed citations
18.
Venuto, Daniela De, F. Corsi, Giovanni Breglio, Antonello Cutolo, & Luigi Zeni. (2002). Optical probing of internal signals in silicon ICs. 1. 377–380. 1 indexed citations
19.
Venuto, Daniela De, et al.. (2001). On-Chip Test for Mixed-Signal ASICs using Two-Mode Comparators with Bias-Programmable Reference Voltages. Journal of Electronic Testing. 17(3-4). 243–253. 20 indexed citations
20.
Cantatore, Eugenio, et al.. (1995). Designing input stimuli for linear filter testing. 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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