Andrea Vinci

108 total papers · 1.8k total citations
63 papers, 1.1k citations indexed

About

Andrea Vinci is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Building and Construction. According to data from OpenAlex, Andrea Vinci has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 17 papers in Computer Vision and Pattern Recognition and 15 papers in Building and Construction. Recurrent topics in Andrea Vinci's work include IoT and Edge/Fog Computing (17 papers), Context-Aware Activity Recognition Systems (16 papers) and Human Mobility and Location-Based Analysis (11 papers). Andrea Vinci is often cited by papers focused on IoT and Edge/Fog Computing (17 papers), Context-Aware Activity Recognition Systems (16 papers) and Human Mobility and Location-Based Analysis (11 papers). Andrea Vinci collaborates with scholars based in Italy, United States and India. Andrea Vinci's co-authors include Giandomenico Spezzano, Antonio Guerrieri, Franco Cicirelli, Eugenio Cesario, Andrea Giordano, F. Silvestro, Charlie Catlett, Giancarlo Fortino, Domenico Talia and M. Saviozzi and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Energy and Buildings and IEEE Transactions on Smart Grid.

In The Last Decade

Andrea Vinci

60 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Andrea Vinci 305 248 217 193 185 63 1.1k
Sergio Trilles 305 1.0× 422 1.7× 90 0.4× 155 0.8× 149 0.8× 60 1.3k
Xiaoming Li 206 0.7× 169 0.7× 233 1.1× 142 0.7× 192 1.0× 53 1.2k
Tuan Anh Nguyen 191 0.6× 333 1.3× 393 1.8× 340 1.8× 218 1.2× 56 1.2k
Theodoros Anagnostopoulos 359 1.2× 290 1.2× 235 1.1× 106 0.5× 114 0.6× 56 1.3k
M. Rajasekhara Babu 420 1.4× 260 1.0× 102 0.5× 225 1.2× 68 0.4× 67 1.0k
Fei Wang 389 1.3× 396 1.6× 173 0.8× 281 1.5× 97 0.5× 58 1.2k
BalaAnand Muthu 272 0.9× 166 0.7× 88 0.4× 334 1.7× 178 1.0× 59 1.3k
Aurora González-Vidal 427 1.4× 386 1.6× 252 1.2× 422 2.2× 96 0.5× 55 1.2k
M. Victoria Moreno 337 1.1× 371 1.5× 194 0.9× 129 0.7× 150 0.8× 35 941
Luı́s Sánchez 784 2.6× 402 1.6× 165 0.8× 159 0.8× 252 1.4× 57 1.5k

Countries citing papers authored by Andrea Vinci

Since Specialization
Citations

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

Fields of papers citing papers by Andrea Vinci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrea Vinci

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