Gianluca De Luca

513 total citations
12 papers, 365 citations indexed

About

Gianluca De Luca is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Physiology. According to data from OpenAlex, Gianluca De Luca has authored 12 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Artificial Intelligence and 4 papers in Physiology. Recurrent topics in Gianluca De Luca's work include EEG and Brain-Computer Interfaces (5 papers), Muscle activation and electromyography studies (4 papers) and Voice and Speech Disorders (4 papers). Gianluca De Luca is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), Muscle activation and electromyography studies (4 papers) and Voice and Speech Disorders (4 papers). Gianluca De Luca collaborates with scholars based in United States. Gianluca De Luca's co-authors include Serge H. Roy, Joshua C. Kline, Geoffrey S. Meltzner, James T. Heaton, Yunbin Deng, Paola Contessa, Carlo J. De Luca, M. Samuel Cheng, John Moore and S. Hamid Nawab and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Neurophysiology and Journal of Speech Language and Hearing Research.

In The Last Decade

Gianluca De Luca

9 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gianluca De Luca United States 6 197 121 90 72 72 12 365
Long Meng China 11 174 0.9× 193 1.6× 25 0.3× 40 0.6× 85 1.2× 43 398
Joshua C. Kline United States 11 394 2.0× 266 2.2× 93 1.0× 65 0.9× 58 0.8× 19 576
D.F. Lovely Canada 12 258 1.3× 159 1.3× 114 1.3× 52 0.7× 77 1.1× 37 413
Heba Lakany United Kingdom 12 179 0.9× 226 1.9× 38 0.4× 77 1.1× 68 0.9× 44 433
Md. Asadur Rahman Bangladesh 13 128 0.6× 346 2.9× 93 1.0× 55 0.8× 49 0.7× 51 610
Javad Birjandtalab United States 10 138 0.7× 356 2.9× 142 1.6× 67 0.9× 27 0.4× 23 579
Yaqi Chu China 11 172 0.9× 299 2.5× 38 0.4× 23 0.3× 119 1.7× 31 460
Haoshi Zhang China 9 290 1.5× 221 1.8× 24 0.3× 22 0.3× 61 0.8× 33 409
Thapanun Sudhawiyangkul Thailand 10 87 0.4× 281 2.3× 88 1.0× 46 0.6× 57 0.8× 24 485
Shreyasi Datta India 11 101 0.5× 214 1.8× 40 0.4× 33 0.5× 105 1.5× 40 466

Countries citing papers authored by Gianluca De Luca

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca De Luca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluca De Luca

This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca De Luca. A scholar is included among the top collaborators of Gianluca De Luca 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 Gianluca De Luca. Gianluca De Luca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
2.
Silder, Amy, Brian Green, Serge H. Roy, et al.. (2024). Platform Design for Optical Screening and Conditioning for Injury Resilience. Military Medicine. 189(Supplement_3). 677–685. 1 indexed citations
3.
Chan, Michael, et al.. (2023). Motor Unit Action Potential Based Classification of Hand and Arm Motions. 2134–2139. 1 indexed citations
4.
Cler, Gabriel J., Susan Fager, Paola Contessa, et al.. (2022). Ability-based Keyboards for Augmentative and Alternative Communication: Understanding How Individuals’ Movement Patterns Translate to More Efficient Keyboards. CHI Conference on Human Factors in Computing Systems Extended Abstracts. 2022. 1–7. 3 indexed citations
5.
Kline, Joshua C., et al.. (2022). Prediction of Voice Fundamental Frequency and Intensity from Surface Electromyographic Signals of the Face and Neck. SHILAP Revista de lepidopterología. 5(4). 692–710. 3 indexed citations
6.
Chan, Michael, Serge H. Roy, James T. Heaton, et al.. (2021). Surface Electromyography–Based Recognition, Synthesis, and Perception of Prosodic Subvocal Speech. Journal of Speech Language and Hearing Research. 64(6S). 2134–2153. 16 indexed citations
7.
Meltzner, Geoffrey S., James T. Heaton, Yunbin Deng, et al.. (2018). Development of sEMG sensors and algorithms for silent speech recognition. Journal of Neural Engineering. 15(4). 46031–46031. 77 indexed citations
8.
Contessa, Paola, et al.. (2018). Contribution from motor unit firing adaptations and muscle coactivation during fatigue. Journal of Neurophysiology. 119(6). 2186–2193. 24 indexed citations
9.
Roy, Serge H., et al.. (2018). Motor unit drive: a neural interface for real-time upper limb prosthetic control. Journal of Neural Engineering. 16(1). 16012–16012. 49 indexed citations
10.
Meltzner, Geoffrey S., James T. Heaton, Yunbin Deng, et al.. (2017). Silent Speech Recognition as an Alternative Communication Device for Persons With Laryngectomy. IEEE/ACM Transactions on Audio Speech and Language Processing. 25(12). 2386–2398. 85 indexed citations
11.
Roy, Serge H., M. Samuel Cheng, Shey-Sheen Chang, et al.. (2009). A Combined sEMG and Accelerometer System for Monitoring Functional Activity in Stroke. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 17(6). 585–594. 106 indexed citations
12.
Luca, Carlo J. De, Jerry J. Buccafusco, Serge H. Roy, Gianluca De Luca, & S. Hamid Nawab. (2005). The electromyographic signal as a presymptomatic indicator of organophosphates in the body. Muscle & Nerve. 33(3). 369–376.

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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