Giorgio Roffo

35 total papers · 1.6k total citations
17 papers, 491 citations indexed

About

Giorgio Roffo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Social Psychology. According to data from OpenAlex, Giorgio Roffo has authored 17 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Social Psychology. Recurrent topics in Giorgio Roffo's work include Authorship Attribution and Profiling (4 papers), Face and Expression Recognition (3 papers) and Digital Communication and Language (2 papers). Giorgio Roffo is often cited by papers focused on Authorship Attribution and Profiling (4 papers), Face and Expression Recognition (3 papers) and Digital Communication and Language (2 papers). Giorgio Roffo collaborates with scholars based in Italy, United Kingdom and United States. Giorgio Roffo's co-authors include Simone Melzi, Marco Cristani, Alessandro Vinciarelli, Umberto Castellani, Vittorio Murino, Cristina Segalin, Loris Bazzani, Maks Ovsjanikov, Luca Bartoli and Anna Esposito and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and Computer Methods and Programs in Biomedicine.

In The Last Decade

Giorgio Roffo

17 papers receiving 468 citations

Author Peers

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

Author Last Decade Papers Cites
Giorgio Roffo 223 161 59 56 52 17 491
Zhanquan Sun 218 1.0× 118 0.7× 40 0.7× 30 0.5× 26 0.5× 35 461
Xiang Lin 178 0.8× 141 0.9× 56 0.9× 32 0.6× 31 0.6× 42 511
Akshay Vashist 320 1.4× 262 1.6× 28 0.5× 23 0.4× 24 0.5× 14 544
Haojie Lin 212 1.0× 219 1.4× 34 0.6× 35 0.6× 19 0.4× 20 471
Sraban Kumar Mohanty 285 1.3× 138 0.9× 83 1.4× 38 0.7× 20 0.4× 33 437
Nikolay Nagornov 154 0.7× 137 0.9× 52 0.9× 23 0.4× 18 0.3× 29 533
Utkarsh Mahadeo Khaire 250 1.1× 90 0.6× 36 0.6× 73 1.3× 22 0.4× 13 504
Hong He 165 0.7× 195 1.2× 28 0.5× 24 0.4× 123 2.4× 35 551
Prableen Kaur 223 1.0× 56 0.3× 52 0.9× 28 0.5× 25 0.5× 9 466
Maria Valueva 142 0.6× 115 0.7× 71 1.2× 26 0.5× 14 0.3× 26 457

Countries citing papers authored by Giorgio Roffo

Since Specialization
Citations

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

Fields of papers citing papers by Giorgio Roffo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giorgio Roffo

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