Alessandro Sperduti
About
In The Last Decade
Alessandro Sperduti
162 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 143
- Artificial Intelligence 1.8k
- Computer Vision and Pattern Recognition 658
- Information Systems 381
- Computational Theory and Mathematics 326
- Signal Processing 310
Countries citing papers authored by Alessandro Sperduti
This map shows the geographic impact of Alessandro Sperduti'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 Alessandro Sperduti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Sperduti more than expected).
Fields of papers citing papers by Alessandro Sperduti
This network shows the impact of papers produced by Alessandro Sperduti. 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 Alessandro Sperduti. The network helps show where Alessandro Sperduti may publish in the future.
Co-authorship network of co-authors of Alessandro Sperduti
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Sperduti. A scholar is included among the top collaborators of Alessandro Sperduti 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 Alessandro Sperduti. Alessandro Sperduti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 8 | |
| 7 | 17 | |
| 8 | 4 | |
| 9 | 11 | |
| 10 | 9 | |
| 11 | 4 | |
| 12 | The Conjunctive Disjunctive Node Kernel | 0 |
| 13 | Equivalence results between feedforward and recurrent neural networks for sequences | 3 |
| 14 | 9 | |
| 15 | A lossy counting based approach for learning on streams of graphs on a budget | 10 |
| 16 | 28 | |
| 17 | Projection of undirected and non-positional graphs using self organizing maps | 5 |
| 18 | A Note on Formal Determination of Context in Contextual Recursive Cascade Correlation Networks | 1 |
| 19 | Dynamical Neural Networks Construction for Processing of Labeled Structures | 1 |
| 20 | 14 |
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.