Daniele Grattarola

12 papers and 424 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 424 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 and Jack B. Maguire 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

Fields of papers citing papers by Daniele Grattarola

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Daniele Grattarola. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025