Luca Mussi

21 total papers · 423 total citations
13 papers, 272 citations indexed

About

Luca Mussi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Luca Mussi has authored 13 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Luca Mussi's work include Metaheuristic Optimization Algorithms Research (5 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Evolutionary Algorithms and Applications (3 papers). Luca Mussi is often cited by papers focused on Metaheuristic Optimization Algorithms Research (5 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Evolutionary Algorithms and Applications (3 papers). Luca Mussi collaborates with scholars based in Italy, Switzerland and United Kingdom. Luca Mussi's co-authors include Stefano Cagnoni, Fabio Daolio, Youssef S. G. Nashed, Pablo Mesejo, Elena Cardarelli, Giovanni Adorni, Pier Paolo Porta, Paolo Medici, Monica Mordonini and Leonardo Vanneschi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Information Sciences and Applied Soft Computing.

In The Last Decade

Luca Mussi

13 papers receiving 247 citations

Author Peers

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

Author Last Decade Papers Cites
Luca Mussi 164 67 63 28 22 13 272
Yupeng Chen 185 1.1× 48 0.7× 95 1.5× 30 1.1× 11 0.5× 13 329
Yue Ruan 164 1.0× 68 1.0× 38 0.6× 32 1.1× 9 0.4× 22 296
Lucas Veronese 121 0.7× 37 0.6× 90 1.4× 21 0.8× 73 3.3× 16 276
Benteng Ma 181 1.1× 20 0.3× 110 1.7× 15 0.5× 16 0.7× 19 314
Vincent Granville 78 0.5× 22 0.3× 37 0.6× 38 1.4× 25 1.1× 13 265
Luis Rodríguez 217 1.3× 94 1.4× 35 0.6× 28 1.0× 9 0.4× 8 296
Chris S. Wallace 208 1.3× 55 0.8× 48 0.8× 10 0.4× 5 0.2× 14 327
Erhan Gökçay 158 1.0× 18 0.3× 110 1.7× 30 1.1× 8 0.4× 15 291
Aarón 102 0.6× 90 1.3× 19 0.3× 27 1.0× 8 0.4× 8 277
S. Y. Lu 134 0.8× 18 0.3× 159 2.5× 23 0.8× 8 0.4× 18 326

Countries citing papers authored by Luca Mussi

Since Specialization
Citations

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

Fields of papers citing papers by Luca Mussi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Mussi

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