Lecture notes in computer science (2 papers)IOS Press eBooks (1 paper)IEEE Transactions on Neural Networks (2 papers)Use Siena air (University of Siena) (2 papers)The 2006 IEEE International Joint Conference on Neural Network Proceedings (1 paper)
The Graph Neural Network Model2008 · 5.8k citations
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if any of the following hold:
it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the
threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.
This map shows the geographic impact of M. Gori'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 M. Gori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Gori more than expected).
This network shows the impact of papers produced by M. Gori. 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 M. Gori. The network helps show where M. Gori may publish in the future.
Co-authors
The 7 scholars most cited alongside M. Gori, linked wherever they
have co-authored with each other. Click a name or a connecting line to browse the papers
they share.
Border = papers with M. GoriLine = papers co-authored togetherM. Gori links everyone, so they are left out of the graph.
The 2006 IEEE International Joint Conference on Neural Network Proceedings·V. Di Massa, G. Monfardini, L. Sarti, Franco Scarselli, Marco Maggini, M. Gori
M. Gori is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 8 papers that have together received 6.1k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (4 papers), Neural Networks and Applications (4 papers), Graph Theory and Algorithms (3 papers), Web Data Mining and Analysis (2 papers), Multimedia Communication and Technology (1 paper), Speech and dialogue systems (1 paper), Machine Learning and Algorithms (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (3.2k citations), Computer Vision and Pattern Recognition (1.4k citations), Statistical and Nonlinear Physics (657 citations), Information Systems (735 citations) and Transportation (183 citations). M. Gori has collaborated with scholars based in Italy, Australia and Hong Kong. Frequent co-authors include Franco Scarselli, Markus Hagenbuchner, Ah Chung Tsoi, Gabriele Monfardini, Marco Maggini, Paolo Frasconi and G. Soda. Their work appears in journals such as Lecture notes in computer science, IOS Press eBooks, IEEE Transactions on Neural Networks, Use Siena air (University of Siena) and The 2006 IEEE International Joint Conference on Neural Network Proceedings.
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.