Francesco Visin

18 total papers · 2.0k total citations
4 papers, 87 citations indexed

About

Francesco Visin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Francesco Visin has authored 4 papers receiving a total of 87 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Francesco Visin's work include Domain Adaptation and Few-Shot Learning (2 papers), Computational Physics and Python Applications (1 paper) and Cancer-related molecular mechanisms research (1 paper). Francesco Visin is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Computational Physics and Python Applications (1 paper) and Cancer-related molecular mechanisms research (1 paper). Francesco Visin collaborates with scholars based in United Kingdom, United States and Romania. Francesco Visin's co-authors include Razvan Pascanu, Raia Hadsell, Kundan Kumar, Faruk Ahmed, Aaron Courville, David Vázquez, Ishaan Gulrajani, Dushyant Rao, Yee Whye Teh and Andrei Rusu and has published in prestigious journals such as Research Explorer (The University of Manchester) and arXiv (Cornell University).

In The Last Decade

Francesco Visin

4 papers receiving 83 citations

Author Peers

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

Author Last Decade Papers Cites
Francesco Visin 70 49 5 5 4 4 87
Orestis Plevrakis 84 1.2× 51 1.0× 5 1.0× 4 0.8× 4 1.0× 2 113
Ousmane Dia 79 1.1× 35 0.7× 9 1.8× 7 1.4× 7 1.8× 5 95
Amit Alfassy 84 1.2× 66 1.3× 8 1.6× 4 0.8× 5 1.3× 3 105
Jaesik Yoon 73 1.0× 36 0.7× 8 1.6× 7 1.4× 1 0.3× 5 86
Han Stiekema 42 0.6× 34 0.7× 8 1.6× 9 1.8× 10 2.5× 4 83
Rosanne Liu 71 1.0× 81 1.7× 13 2.6× 2 0.4× 2 0.5× 5 119
Vihari Piratla 103 1.5× 48 1.0× 2 0.4× 5 1.0× 1 0.3× 5 132
Shiv Shankar 59 0.8× 48 1.0× 3 0.6× 4 0.8× 7 80
Quinn Jones 51 0.7× 47 1.0× 10 2.0× 1 0.2× 4 1.0× 4 80
Byungseok Roh 75 1.1× 76 1.6× 8 1.6× 3 0.6× 6 127

Countries citing papers authored by Francesco Visin

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Visin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Visin

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