Daniela De Venuto

1.7k citations
120 papers · 941 · h-index 19

Impact in

Papers in

Daniela De Venuto

112 papers receiving 913 citations

Peers

Daniela De Venuto
Comparison fields: 5 of 89
  • Physical Therapy, Sports Therapy and Rehabilitation 63
  • Cognitive Neuroscience 257
  • Human-Computer Interaction 68
  • Hardware and Architecture 79
  • Cellular and Molecular Neuroscience 203
Replace Kyoobin Lee with:
Kyoobin Lee South Korea
Shintaro Izumi Japan
Ryan Robucci United States
R. Dilmaghani United Kingdom
Hegao Cai China
Shuenn-Yuh Lee Taiwan
Herming Chiueh Taiwan
Michel Paindavoine France
Francisco Assis de Oliveira Nascimento Brazil
Daniela De Venuto relative to Kyoobin Lee South Korea Kyoobin Lee's profile →
Citations per field
00.5×10×20×26.3×
Kyoobin Lee · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniela De Venuto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela De Venuto Line = papers co-authored together Daniela De Venuto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200544
2 201630
3 201827
4 201727
5 201526
6 201525
7 201524
8 201824
9 201024
10 201024
11 200322
12 201622
13 201522
14 200821
15 200120
16 200419
17 200218
18 201518
19 201418
20 199518

About Daniela De Venuto

Daniela De Venuto is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Cognitive Neuroscience, Hardware and Architecture and Cellular and Molecular Neuroscience, having authored 120 papers that have together received 941 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (25 papers), Integrated Circuits and Semiconductor Failure Analysis (23 papers), Neuroscience and Neural Engineering (17 papers), Analog and Mixed-Signal Circuit Design (17 papers), Muscle activation and electromyography studies (17 papers), VLSI and Analog Circuit Testing (17 papers), Balance, Gait, and Falls Prevention (12 papers) and Advanced Sensor and Energy Harvesting Materials (11 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (63 citations), Cognitive Neuroscience (257 citations), Human-Computer Interaction (68 citations), Hardware and Architecture (79 citations) and Cellular and Molecular Neuroscience (203 citations). Daniela De Venuto has collaborated with scholars based in Italy, Mexico and Switzerland. Frequent co-authors include Valerio F. Annese, Giovanni Mezzina, B. Riccò, Tom Chen, E. Stikvoort, Alberto Sangiovanni‐Vincentelli, Sandro Carrara, Y.V. Ponomarev, Jan M. Rabaey and Giovanni De Micheli. Their work appears in journals such as Sensors, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, IEEE Sensors Journal, Digestive and Liver Disease and Microelectronic Engineering.

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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