Maurizio Capra

13 total papers · 578 total citations
7 papers, 358 citations indexed

About

Maurizio Capra is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Hardware and Architecture. According to data from OpenAlex, Maurizio Capra has authored 7 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Electrical and Electronic Engineering and 2 papers in Hardware and Architecture. Recurrent topics in Maurizio Capra's work include Advanced Neural Network Applications (3 papers), Advanced Memory and Neural Computing (3 papers) and CCD and CMOS Imaging Sensors (3 papers). Maurizio Capra is often cited by papers focused on Advanced Neural Network Applications (3 papers), Advanced Memory and Neural Computing (3 papers) and CCD and CMOS Imaging Sensors (3 papers). Maurizio Capra collaborates with scholars based in Italy, Austria and United States. Maurizio Capra's co-authors include Maurizio Martina, Guido Masera, Muhammad Shafique, Alberto Marchisio, Beatrice Bussolino, Massimo Ruo Roch, Francesco Conti, Paolo Bonato, Paolo Motto Ros and Alessandro Puiatti and has published in prestigious journals such as IEEE Access, Sensors and Future Internet.

In The Last Decade

Maurizio Capra

7 papers receiving 347 citations

Author Peers

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

Author Last Decade Papers Cites
Maurizio Capra 169 116 109 84 46 7 358
Ahmad Shawahna 162 1.0× 151 1.3× 125 1.1× 56 0.7× 60 1.3× 5 349
Omar Eldash 206 1.2× 84 0.7× 146 1.3× 55 0.7× 83 1.8× 24 402
Crefeda Faviola Rodrigues 154 0.9× 60 0.5× 99 0.9× 62 0.7× 16 0.3× 5 346
Shengyuan Zhou 213 1.3× 174 1.5× 123 1.1× 51 0.6× 96 2.1× 14 376
Guy Boudoukh 159 0.9× 155 1.3× 88 0.8× 55 0.7× 78 1.7× 3 295
Yukun Ding 226 1.3× 84 0.7× 140 1.3× 31 0.4× 19 0.4× 14 392
Eva García-Martín 142 0.8× 47 0.4× 105 1.0× 56 0.7× 10 0.2× 7 329
Shaoshan Liu 103 0.6× 96 0.8× 32 0.3× 66 0.8× 59 1.3× 10 321
A. Pounds-Cornish 121 0.7× 171 1.5× 91 0.8× 117 1.4× 7 0.2× 7 340
Baofu Wu 96 0.6× 101 0.9× 61 0.6× 84 1.0× 22 0.5× 11 318

Countries citing papers authored by Maurizio Capra

Since Specialization
Citations

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

Fields of papers citing papers by Maurizio Capra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maurizio Capra

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