Sebastiano Vascon

701 total citations
33 papers, 323 citations indexed

About

Sebastiano Vascon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Sebastiano Vascon has authored 33 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 5 papers in Molecular Biology. Recurrent topics in Sebastiano Vascon's work include Advanced Graph Neural Networks (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Graph Theory and Algorithms (3 papers). Sebastiano Vascon is often cited by papers focused on Advanced Graph Neural Networks (5 papers), Anomaly Detection Techniques and Applications (4 papers) and Graph Theory and Algorithms (3 papers). Sebastiano Vascon collaborates with scholars based in Italy, Switzerland and United States. Sebastiano Vascon's co-authors include Marcello Pelillo, Vittorio Murino, Alessio Del Bue, Sinem Aslan, Andrea Barberis, Enrica Maria Petrini, Francesca Cella Zanacchi, Alberto Diaspro, Shiva K. Tyagarajan and Thierry Nieus and has published in prestigious journals such as Journal of Neuroscience, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Sebastiano Vascon

26 papers receiving 313 citations

Peers

Sebastiano Vascon
Comparison fields: 5 of 86
  • Artificial Intelligence 123
  • Computer Vision and Pattern Recognition 90
  • Cellular and Molecular Neuroscience 59
  • Molecular Biology 56
  • Signal Processing 30
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Ken Nakae Japan
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Citations per field, relative to Sebastiano Vascon
Sebastiano Vascon · 1×
Citations per year, relative to Sebastiano Vascon
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Countries citing papers authored by Sebastiano Vascon

Since Specialization
Citations

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

Fields of papers citing papers by Sebastiano Vascon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastiano Vascon

This figure shows the co-authorship network connecting the top 25 collaborators of Sebastiano Vascon. A scholar is included among the top collaborators of Sebastiano Vascon 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 Sebastiano Vascon. Sebastiano Vascon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 0
5 0
6 1
7 0
8 0
9 1
10 4
11 5
12 0
13 58
14 2
15 2
16 5
17 3
18 75
19 10
20
A Stable Graph-Based Representation for Object Recognition through High-Order Matching
3

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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