Gabriele Corso

4 papers and 68 indexed citations i.

About

Gabriele Corso is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gabriele Corso has authored 4 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Artificial Intelligence and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Gabriele Corso’s work include Advanced Graph Neural Networks (2 papers), Protein Structure and Dynamics (2 papers) and Graph Theory and Algorithms (1 paper). Gabriele Corso is often cited by papers focused on Advanced Graph Neural Networks (2 papers), Protein Structure and Dynamics (2 papers) and Graph Theory and Algorithms (1 paper). Gabriele Corso collaborates with scholars based in United States, United Kingdom and Canada. Gabriele Corso's co-authors include Tommi Jaakkola, Regina Barzilay, H. Stärk, Stefanie Jegelka, Píetro Lió, Dominique Beaini, Bowen Jing, Petar Veličković and Jason Yim and has published in prestigious journals such as Biophysical Journal, Wiley Interdisciplinary Reviews Computational Molecular Science and Nature Reviews Methods Primers.

In The Last Decade

Co-authorship network of co-authors of Gabriele Corso i

Fields of papers citing papers by Gabriele Corso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Gabriele Corso

Since Specialization
Citations

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

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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