Gianluca De Luca

15 total papers · 508 total citations
12 papers, 360 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 360 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, S. Hamid Nawab, Shey-Sheen Chang, M. Samuel Cheng and Carlo J. De Luca 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 353 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gianluca De Luca 194 118 89 71 69 12 360
Long Meng 167 0.9× 183 1.6× 25 0.3× 31 0.4× 83 1.2× 40 376
Rattanaphon Chaisaen 62 0.3× 262 2.2× 64 0.7× 31 0.4× 64 0.9× 8 358
Haoshi Zhang 287 1.5× 217 1.8× 23 0.3× 21 0.3× 60 0.9× 33 402
Vaibhav Gandhi 75 0.4× 230 1.9× 54 0.6× 70 1.0× 84 1.2× 30 385
Phairot Autthasan 53 0.3× 302 2.6× 71 0.8× 36 0.5× 65 0.9× 13 371
Phattarapong Sawangjai 52 0.3× 289 2.4× 76 0.9× 31 0.4× 55 0.8× 10 395
Vandad Davoodnia 107 0.6× 149 1.3× 28 0.3× 31 0.4× 50 0.7× 11 336
Ondřej Ťupa 191 1.0× 37 0.3× 15 0.2× 37 0.5× 34 0.5× 18 355
S.I. Kim 68 0.4× 140 1.2× 19 0.2× 35 0.5× 79 1.1× 17 383
Anurag Nishad 96 0.5× 165 1.4× 85 1.0× 33 0.5× 27 0.4× 13 344

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

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026