Gianluca De Luca

513 citations
12 papers · 365 indexed · h-index 6
Topics
EEG and Brain-Computer Interfaces (5 papers)Muscle activation and electromyography studies (4 papers)Voice and Speech Disorders (4 papers)
Partner nations
United States

In The Last Decade

Gianluca De Luca

9 papers receiving 358 citations

Peers

Gianluca De Luca
Comparison fields: 5 of 67
  • Biomedical Engineering 197
  • Cognitive Neuroscience 121
  • Signal Processing 90
  • Artificial Intelligence 72
  • Human-Computer Interaction 72
Replace Heba Lakany with:
Heba Lakany United Kingdom
Shreyasi Datta India
Joshua C. Kline United States
P. A. Karthick India
Long Meng China
Yaqi Chu China
Md. Asadur Rahman Bangladesh
Haoshi Zhang China
Debatri Chatterjee India
Aung Aung Phyo Wai Singapore
Gianluca De Luca relative to Heba Lakany United Kingdom Heba Lakany's profile →
Citations per field
00.5×1.5×2.4×
Heba Lakany · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 1
4 3
5 3
6 16
7 77
8 24
9 49
10 85
11 106
12 0

About Gianluca De Luca

Gianluca De Luca is a scholar working on Occupational Therapy, Cognitive Neuroscience and Instrumentation, having authored 12 papers that have together received 365 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (5 papers), Muscle activation and electromyography studies (4 papers) and Voice and Speech Disorders (4 papers). The work is most often cited by research in Human-Computer Interaction (72 citations), Signal Processing (90 citations) and Cognitive Neuroscience (121 citations). Gianluca De Luca has collaborated with scholars based in United States. Frequent co-authors include Serge H. Roy, Joshua C. Kline, James T. Heaton, Geoffrey S. Meltzner, Yunbin Deng, Paola Contessa, Carlo J. De Luca, M. Samuel Cheng, John Moore and Shey-Sheen Chang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Neurophysiology and Journal of Speech Language and Hearing Research.

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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