Alessandro De Luca

289 total papers · 16.1k total citations
214 papers, 10.8k citations indexed

About

Alessandro De Luca is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alessandro De Luca has authored 214 papers receiving a total of 10.8k indexed citations (citations by other indexed papers that have themselves been cited), including 170 papers in Control and Systems Engineering, 88 papers in Biomedical Engineering and 43 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alessandro De Luca's work include Robotic Mechanisms and Dynamics (67 papers), Robot Manipulation and Learning (64 papers) and Dynamics and Control of Mechanical Systems (54 papers). Alessandro De Luca is often cited by papers focused on Robotic Mechanisms and Dynamics (67 papers), Robot Manipulation and Learning (64 papers) and Dynamics and Control of Mechanical Systems (54 papers). Alessandro De Luca collaborates with scholars based in Italy, Germany and United Kingdom. Alessandro De Luca's co-authors include Fabrizio Flacco, Giuseppe Oriolo, Bruno Siciliano, Alin Albu‐Schäffer, R. Mattone, Sami Haddadin, Gerd Hirzinger, Marilena Vendittelli, Oussama Khatib and Paolo Robuffo Giordano and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Industrial Electronics.

In The Last Decade

Alessandro De Luca

210 papers receiving 10.3k citations

Hit Papers

An atlas of physical huma... 2002 2026 2010 2018 2007 2006 2002 2017 2008 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Alessandro De Luca 8.3k 4.0k 2.6k 2.3k 873 214 10.8k
Gerd Hirzinger 4.8k 0.6× 4.6k 1.1× 2.3k 0.9× 1.5k 0.6× 1.3k 1.5× 242 8.5k
G. Hirzinger 5.1k 0.6× 4.4k 1.1× 2.6k 1.0× 1.5k 0.6× 1.4k 1.6× 219 8.5k
Alin Albu‐Schäffer 9.4k 1.1× 9.1k 2.3× 4.0k 1.5× 1.8k 0.8× 1.4k 1.6× 347 15.2k
John M. Hollerbach 5.7k 0.7× 3.3k 0.8× 2.5k 0.9× 1.5k 0.6× 493 0.6× 186 9.3k
Sami Haddadin 5.3k 0.6× 4.9k 1.2× 1.9k 0.7× 1.2k 0.5× 538 0.6× 312 10.1k
Tamim Asfour 5.1k 0.6× 3.0k 0.8× 933 0.4× 2.7k 1.2× 861 1.0× 325 7.4k
Masayuki Inaba 4.5k 0.5× 5.0k 1.2× 1.4k 0.5× 2.7k 1.2× 1.5k 1.7× 634 8.6k
Christian Ott 5.4k 0.7× 5.7k 1.4× 2.4k 0.9× 863 0.4× 652 0.7× 280 9.6k
Bruno Siciliano 13.2k 1.6× 7.2k 1.8× 5.3k 2.0× 4.0k 1.7× 2.2k 2.5× 328 18.9k
Danica Kragić 5.8k 0.7× 3.4k 0.8× 1.4k 0.5× 3.7k 1.6× 1.6k 1.9× 326 9.9k

Countries citing papers authored by Alessandro De Luca

Since Specialization
Citations

This map shows the geographic impact of Alessandro 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 Alessandro 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 Alessandro De Luca more than expected).

Fields of papers citing papers by Alessandro De Luca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro De Luca. A scholar is included among the top collaborators of Alessandro 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 Alessandro De Luca. Alessandro De Luca 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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