Daniele Grattarola

12 papers and 446 indexed citations i.

About

Daniele Grattarola is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Daniele Grattarola has authored 12 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Daniele Grattarola’s work include Advanced Graph Neural Networks (7 papers), Complex Network Analysis Techniques (5 papers) and Graph Theory and Algorithms (4 papers). Daniele Grattarola is often cited by papers focused on Advanced Graph Neural Networks (7 papers), Complex Network Analysis Techniques (5 papers) and Graph Theory and Algorithms (4 papers). Daniele Grattarola collaborates with scholars based in Switzerland, Italy and United Kingdom. Daniele Grattarola's co-authors include Cesare Alippi, Lorenzo Livi, Filippo Maria Bianchi, Daniele Zambon, Richard Wennberg, Taufik A. Valiante, Jack B. Maguire and Vikram Khipple Mulligan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and PLoS Computational Biology.

In The Last Decade

Co-authorship network of co-authors of Daniele Grattarola i

Fields of papers citing papers by Daniele Grattarola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniele Grattarola

Since Specialization
Citations

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