Giuseppe Averta

848 total citations
45 papers, 468 citations indexed

About

Giuseppe Averta is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Control and Systems Engineering. According to data from OpenAlex, Giuseppe Averta has authored 45 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 18 papers in Cognitive Neuroscience and 16 papers in Control and Systems Engineering. Recurrent topics in Giuseppe Averta's work include Muscle activation and electromyography studies (15 papers), Robot Manipulation and Learning (15 papers) and Motor Control and Adaptation (11 papers). Giuseppe Averta is often cited by papers focused on Muscle activation and electromyography studies (15 papers), Robot Manipulation and Learning (15 papers) and Motor Control and Adaptation (11 papers). Giuseppe Averta collaborates with scholars based in Italy, United States and Netherlands. Giuseppe Averta's co-authors include Matteo Bianchi, Antonio Bicchi, Cosimo Della Santina, Manuel G. Catalano, Gaetano Valenza, Edoardo Battaglia, Vincenzo Catrambone, Davide Bacciu, Simone Ciotti and Marco Santello and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Giuseppe Averta

40 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giuseppe Averta Italy 13 250 197 183 64 61 45 468
Shahrul Na’im Sidek Malaysia 11 230 0.9× 143 0.7× 154 0.8× 104 1.6× 59 1.0× 89 499
Craig G. McDonald United States 9 307 1.2× 223 1.1× 189 1.0× 59 0.9× 118 1.9× 14 581
Yinlai Jiang Japan 14 397 1.6× 159 0.8× 143 0.8× 38 0.6× 25 0.4× 95 542
Tomoya Tamei Japan 11 341 1.4× 168 0.9× 227 1.2× 49 0.8× 73 1.2× 23 492
Isura Ranatunga United States 12 224 0.9× 275 1.4× 108 0.6× 34 0.5× 46 0.8× 19 488
Nasser Rezzoug France 12 228 0.9× 100 0.5× 108 0.6× 44 0.7× 39 0.6× 64 444
Miguel Simão Portugal 10 333 1.3× 135 0.7× 212 1.2× 87 1.4× 31 0.5× 15 629
Thilina Dulantha Lalitharatne Sri Lanka 14 311 1.2× 71 0.4× 219 1.2× 45 0.7× 51 0.8× 58 562
Clemente Lauretti Italy 13 272 1.1× 128 0.6× 111 0.6× 34 0.5× 136 2.2× 29 431
Toshihiro Kawase Japan 14 244 1.0× 46 0.2× 298 1.6× 50 0.8× 53 0.9× 59 539

Countries citing papers authored by Giuseppe Averta

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Averta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Averta

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Averta. A scholar is included among the top collaborators of Giuseppe Averta 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 Giuseppe Averta. Giuseppe Averta 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.
Santos, Fernando Fernandes dos, Marco Ciccone, Giuseppe Averta, et al.. (2025). Improving Deep Neural Network Reliability via Transient-Fault-Aware Design and Training. IEEE Transactions on Emerging Topics in Computing. 13(3). 829–840. 1 indexed citations
2.
Averta, Giuseppe, et al.. (2025). A CNN-ViT Hybrid Architecture Search Benchmark on a Large-Scale Dataset. IEEE Access. 13. 209965–209979.
3.
Masone, Carlo, et al.. (2025). SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video Segmentation. 3395–3405. 1 indexed citations
4.
Hermans, Alexander, et al.. (2025). Your ViT is Secretly an Image Segmentation Model. TU/e Research Portal. 25303–25313. 2 indexed citations
5.
Peirone, Simone, et al.. (2024). Egocentric zone-aware action recognition across environments. Pattern Recognition Letters. 188. 140–147.
6.
Averta, Giuseppe, et al.. (2024). The revenge of BiSeNet: Efficient Multi-Task Image Segmentation. 8066–8074. 2 indexed citations
7.
Ciccone, Marco, et al.. (2024). PEM: Prototype-Based Efficient MaskFormer for Image Segmentation. 15804–15813. 13 indexed citations
8.
Averta, Giuseppe, et al.. (2024). What does CLIP know about peeling a banana?. 2238–2247. 2 indexed citations
9.
10.
Averta, Giuseppe, et al.. (2023). Graph Learning in Robotics: A Survey. IEEE Access. 11. 112664–112681. 8 indexed citations
11.
Averta, Giuseppe, et al.. (2023). A Multi-Modal Under-Sensorized Wearable System for Optimal Kinematic and Muscular Tracking of Human Upper Limb Motion. Sensors. 23(7). 3716–3716. 3 indexed citations
12.
Caputo, Barbara, et al.. (2023). FreeREA: Training-Free Evolution-based Architecture Search. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1493–1502. 9 indexed citations
13.
Kanzler, Christoph M., Giuseppe Averta, Anne Schwarz, et al.. (2022). A low-dimensional representation of arm movements and hand grip forces in post-stroke individuals. Scientific Reports. 12(1). 7601–7601. 6 indexed citations
14.
Santos, Fernando dos, et al.. (2022). Transient-Fault-Aware Design and Training to Enhance DNNs Reliability with Zero-Overhead. 1–7. 18 indexed citations
15.
Catrambone, Vincenzo, Giuseppe Averta, Matteo Bianchi, & Gaetano Valenza. (2021). Toward brain–heart computer interfaces: a study on the classification of upper limb movements using multisystem directional estimates. Journal of Neural Engineering. 18(4). 46002–46002. 12 indexed citations
16.
Santina, Cosimo Della, et al.. (2021). Understanding Human Manipulation With the Environment: A Novel Taxonomy for Video Labelling. IEEE Robotics and Automation Letters. 6(4). 6537–6544. 10 indexed citations
17.
Averta, Giuseppe, Cosimo Della Santina, Gaetano Valenza, Antonio Bicchi, & Matteo Bianchi. (2020). Exploiting upper-limb functional principal components for human-like motion generation of anthropomorphic robots. Journal of NeuroEngineering and Rehabilitation. 17(1). 63–63. 34 indexed citations
18.
Santina, Cosimo Della, Giuseppe Averta, Alessandro Settimi, et al.. (2019). Learning From Humans How to Grasp: A Data-Driven Architecture for Autonomous Grasping With Anthropomorphic Soft Hands. IEEE Robotics and Automation Letters. 4(2). 1533–1540. 62 indexed citations
19.
Catrambone, Vincenzo, Alberto Greco, Giuseppe Averta, et al.. (2018). EEG Processing to Discriminate Transitive-Intransitive Motor Imagery Tasks: Preliminary Evidences using Support Vector Machines. PubMed. 159. 231–234. 3 indexed citations
20.
Averta, Giuseppe, Cosimo Della Santina, Edoardo Battaglia, et al.. (2017). From humans to robots: The role of cutaneous impairment in human environmental constraint exploitation to inform the design of robotic hands. CINECA IRIS Institutial research information system (University of Pisa). 18. 179–184. 2 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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