Daniele Leonardis

54 total papers · 1.9k total citations
29 papers, 1.2k citations indexed

About

Daniele Leonardis is a scholar working on Cognitive Neuroscience, Biomedical Engineering and Rehabilitation. According to data from OpenAlex, Daniele Leonardis has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 11 papers in Biomedical Engineering and 10 papers in Rehabilitation. Recurrent topics in Daniele Leonardis's work include Tactile and Sensory Interactions (12 papers), EEG and Brain-Computer Interfaces (9 papers) and Stroke Rehabilitation and Recovery (9 papers). Daniele Leonardis is often cited by papers focused on Tactile and Sensory Interactions (12 papers), EEG and Brain-Computer Interfaces (9 papers) and Stroke Rehabilitation and Recovery (9 papers). Daniele Leonardis collaborates with scholars based in Italy, Canada and Portugal. Daniele Leonardis's co-authors include Antonio Frisoli, Massimiliano Solazzi, Massimo Bergamasco, Michele Barsotti, Claudio Loconsole, Ilaria Bortone, Carmelo Chisari, Massimiliano Gabardi, Caterina Procopio and Marco Troncossi and has published in prestigious journals such as Experimental Brain Research, Future Generation Computer Systems and IEEE Transactions on Neural Systems and Rehabilitation Engineering.

In The Last Decade

Daniele Leonardis

29 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Daniele Leonardis 723 536 390 346 181 29 1.2k
Roland Sigrist 678 0.9× 357 0.7× 246 0.6× 255 0.7× 80 0.4× 24 1.3k
Michele Barsotti 539 0.7× 545 1.0× 351 0.9× 186 0.5× 32 0.2× 28 939
Claudio Loconsole 420 0.6× 522 1.0× 306 0.8× 167 0.5× 46 0.3× 45 1000
Asim Waris 469 0.6× 764 1.4× 135 0.3× 217 0.6× 55 0.3× 75 1.3k
Jun Xie 652 0.9× 318 0.6× 189 0.5× 139 0.4× 43 0.2× 83 1.1k
Nathanaël Jarrassé 418 0.6× 1.0k 1.9× 617 1.6× 73 0.2× 108 0.6× 71 1.4k
Laehyun Kim 538 0.7× 276 0.5× 87 0.2× 208 0.6× 143 0.8× 88 1.1k
Lotte N. S. Andreasen Struijk 621 0.9× 492 0.9× 144 0.4× 588 1.7× 62 0.3× 94 1.1k
D. Chapuis 490 0.7× 370 0.7× 109 0.3× 163 0.5× 118 0.7× 35 1.1k
Margarita Vergara 398 0.6× 586 1.1× 139 0.4× 95 0.3× 61 0.3× 64 1.3k

Countries citing papers authored by Daniele Leonardis

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Leonardis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Leonardis

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

All Works

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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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