Giorgio Vassallo
- Applied Mathematics top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Computational Mechanics
- Computational Theory and Mathematics top 10%
- Co-authors
- Filippo SorbelloSalvatore VitabileAntonio GentileGiovanni PilatoSalvatore GaglioAgnese AugelloAntonino Oscar Di TommasoF. Celani
- Topics
- Algebraic and Geometric Analysis (18 papers)Digital Image Processing Techniques (13 papers)Natural Language Processing Techniques (6 papers)
- Cited by
- Applied MathematicsComputer Vision and Pattern RecognitionComputer Graphics and Computer-Aided Design
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
Giorgio Vassallo
52 papers receiving 334 citations
Peers
Comparison fields: 5 of 65
- Applied Mathematics 166
- Computer Vision and Pattern Recognition 135
- Artificial Intelligence 71
- Computational Mechanics 52
- Computational Theory and Mathematics 46
Countries citing papers authored by Giorgio Vassallo
This map shows the geographic impact of Giorgio Vassallo'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 Giorgio Vassallo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giorgio Vassallo more than expected).
Fields of papers citing papers by Giorgio Vassallo
This network shows the impact of papers produced by Giorgio Vassallo. 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 Giorgio Vassallo. The network helps show where Giorgio Vassallo may publish in the future.
Co-authorship network of co-authors of Giorgio Vassallo
This figure shows the co-authorship network connecting the top 25 collaborators of Giorgio Vassallo. A scholar is included among the top collaborators of Giorgio Vassallo 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 Giorgio Vassallo. Giorgio Vassallo 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 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | Electron structure, ultra-dense hydrogen and low energy nuclear reactions | 5 |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 15 | |
| 12 | 12 | |
| 13 | 4 | |
| 14 | 20 | |
| 15 | Web directories as a knowledge base to build a multi-agent system for information sharing | 3 |
| 16 | EXPERT CHAT-BOTS FOR CULTURAL HERITAGE | 6 |
| 17 | 3 | |
| 18 | 6 | |
| 19 | 7 | |
| 20 | 1 |
About Giorgio Vassallo
Giorgio Vassallo is a scholar working on Applied Mathematics, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 57 papers that have together received 358 indexed citations. Recurring topics across this work include Algebraic and Geometric Analysis (18 papers), Digital Image Processing Techniques (13 papers) and Natural Language Processing Techniques (6 papers). The work is most often cited by research in Applied Mathematics (166 citations), Computer Vision and Pattern Recognition (135 citations) and Computer Graphics and Computer-Aided Design (15 citations). Giorgio Vassallo has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Filippo Sorbello, Salvatore Vitabile, Antonio Gentile, Giovanni Pilato, Salvatore Gaglio, Agnese Augello, Antonino Oscar Di Tommaso, F. Celani, Vincenzo Vullo and Dietmar Hildenbrand. Their work appears in journals such as IEEE Transactions on Computers, Nonlinear Dynamics and Electronics.
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.