Angelo Garofalo

74 total papers · 795 total citations
27 papers, 274 citations indexed

About

Angelo Garofalo is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Angelo Garofalo has authored 27 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Electrical and Electronic Engineering, 13 papers in Hardware and Architecture and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Angelo Garofalo's work include Advanced Neural Network Applications (11 papers), Parallel Computing and Optimization Techniques (10 papers) and Advanced Memory and Neural Computing (8 papers). Angelo Garofalo is often cited by papers focused on Advanced Neural Network Applications (11 papers), Parallel Computing and Optimization Techniques (10 papers) and Advanced Memory and Neural Computing (8 papers). Angelo Garofalo collaborates with scholars based in Italy, Switzerland and United Arab Emirates. Angelo Garofalo's co-authors include Luca Benini, Davide Rossi, Francesco Conti, Giuseppe Tagliavini, Alfio Di Mauro, Geethan Karunaratne, Irem Boybat, Manuele Rusci, Pasquale Davide Schiavone and Riccardo Cantoro and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal of Solid-State Circuits and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Angelo Garofalo

24 papers receiving 271 citations

Author Peers

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

Author Last Decade Papers Cites
Angelo Garofalo 174 110 94 66 50 27 274
Linyan Mei 185 1.1× 81 0.7× 122 1.3× 65 1.0× 52 1.0× 17 289
Vikram Jain 168 1.0× 69 0.6× 83 0.9× 46 0.7× 65 1.3× 22 255
Hang Lü 79 0.5× 59 0.5× 131 1.4× 84 1.3× 45 0.9× 39 290
Zheng Qu 113 0.6× 65 0.6× 120 1.3× 137 2.1× 58 1.2× 17 293
Biresh Kumar Joardar 227 1.3× 88 0.8× 79 0.8× 99 1.5× 99 2.0× 39 323
Sheng-Chun Kao 122 0.7× 110 1.0× 94 1.0× 65 1.0× 73 1.5× 15 251
Joonho Song 179 1.0× 102 0.9× 104 1.1× 61 0.9× 87 1.7× 16 302
Mengshu Sun 160 0.9× 36 0.3× 133 1.4× 93 1.4× 20 0.4× 23 300
Aravind Dasu 115 0.7× 135 1.2× 65 0.7× 40 0.6× 78 1.6× 40 270
Hanbo Sun 245 1.4× 43 0.4× 87 0.9× 91 1.4× 34 0.7× 22 327

Countries citing papers authored by Angelo Garofalo

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Garofalo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelo Garofalo

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