Guido Proietti
- Computer Networks and Communications top 5%
- Computational Theory and Mathematics top 2%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Co-authors
- Enrico NardelliPeter WidmayerChristos FaloutsosDavide BilòLuciano GualàYihong GongStefano LeucciLuca Forlizzi
- Topics
- Complexity and Algorithms in Graphs (27 papers)Advanced Graph Theory Research (23 papers)Data Management and Algorithms (16 papers)
- Journals
- Information SciencesIEEE Transactions on Knowledge and Data EngineeringImage and Vision Computing
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Guido Proietti
63 papers receiving 496 citations
Peers
Comparison fields: 5 of 60
- Computer Networks and Communications 259
- Computational Theory and Mathematics 209
- Signal Processing 102
- Computer Vision and Pattern Recognition 101
- Artificial Intelligence 95
Countries citing papers authored by Guido Proietti
This map shows the geographic impact of Guido Proietti'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 Guido Proietti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guido Proietti more than expected).
Fields of papers citing papers by Guido Proietti
This network shows the impact of papers produced by Guido Proietti. 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 Guido Proietti. The network helps show where Guido Proietti may publish in the future.
Co-authorship network of co-authors of Guido Proietti
This figure shows the co-authorship network connecting the top 25 collaborators of Guido Proietti. A scholar is included among the top collaborators of Guido Proietti 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 Guido Proietti. Guido Proietti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | On the Clustered Shortest-Path Tree Problem. | 12 |
| 10 | 0 | |
| 11 | 13 | |
| 12 | 7 | |
| 13 | 26 | |
| 14 | 14 | |
| 15 | 2 | |
| 16 | 60 | |
| 17 | 29 | |
| 18 | 53 | |
| 19 | 3 | |
| 20 | An Optimal Resolution Sensitive Pyramid Representation for Hierarchical Memory Models | 1 |
About Guido Proietti
Guido Proietti is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Computer Networks and Communications, having authored 68 papers that have together received 543 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (27 papers), Advanced Graph Theory Research (23 papers) and Data Management and Algorithms (16 papers). The work is most often cited by research in Computational Theory and Mathematics (209 citations), Computer Networks and Communications (259 citations) and Signal Processing (102 citations). Guido Proietti has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Enrico Nardelli, Peter Widmayer, Christos Faloutsos, Davide Bilò, Luciano Gualà, Yihong Gong, Stefano Leucci, Luca Forlizzi, Mattia D’Emidio and Daniele Frigioni. Their work appears in journals such as Information Sciences, IEEE Transactions on Knowledge and Data Engineering and Image and Vision Computing.
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.