Gianluca Donato

8 total papers · 1.4k total citations
7 papers, 799 citations indexed

About

Gianluca Donato is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Gianluca Donato has authored 7 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Signal Processing and 2 papers in Information Systems. Recurrent topics in Gianluca Donato's work include Face and Expression Recognition (3 papers), Blind Source Separation Techniques (3 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Gianluca Donato is often cited by papers focused on Face and Expression Recognition (3 papers), Blind Source Separation Techniques (3 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Gianluca Donato collaborates with scholars based in United States. Gianluca Donato's co-authors include Joseph C. Hager, Paul Ekman, Marian Stewart Bartlett, Terrence J. Sejnowski, Serge Belongie, Feng Pan, David Ahn, Javier R. Movellan, Konrad Saur and Kun-Mo Lee and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Gianluca Donato

7 papers receiving 697 citations

Hit Papers

Classifying facial actions 1999 2026 2008 2017 1999 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Gianluca Donato 593 356 142 129 92 7 799
Evangelos Ververas 819 1.4× 178 0.5× 229 1.6× 116 0.9× 68 0.7× 10 1.0k
S L Happy 556 0.9× 525 1.5× 60 0.4× 104 0.8× 75 0.8× 16 767
Emmanuel Dellandréa 490 0.8× 235 0.7× 145 1.0× 243 1.9× 106 1.2× 32 919
Umur Aybars Çiftçi 711 1.2× 408 1.1× 92 0.6× 192 1.5× 124 1.3× 12 997
Shizhong Han 585 1.0× 418 1.2× 66 0.5× 97 0.8× 70 0.8× 18 819
Lijun Yin 832 1.4× 383 1.1× 139 1.0× 86 0.7× 91 1.0× 16 948
Deepak Ghimire 488 0.8× 274 0.8× 86 0.6× 145 1.1× 59 0.6× 36 828
Kai Wang 590 1.0× 474 1.3× 49 0.3× 73 0.6× 45 0.5× 11 767
Minh Hoai Nguyen 454 0.8× 280 0.8× 82 0.6× 257 2.0× 113 1.2× 31 945
Debin Meng 672 1.1× 619 1.7× 70 0.5× 124 1.0× 59 0.6× 9 902

Countries citing papers authored by Gianluca Donato

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Donato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluca Donato

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