Giuseppe Psaila
- Signal Processing top 1%
- Information Systems top 1%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Rosa MeoStefano CeriGloria BordognaMohamed ZaïtRakesh AgrawalEdward L. WimmersElena BaralisAlfredo Cuzzocrea
- Topics
- Data Management and Algorithms (43 papers)Advanced Database Systems and Queries (27 papers)Geographic Information Systems Studies (18 papers)
- Partner nations
- ItalySpainUnited States
In The Last Decade
Giuseppe Psaila
75 papers receiving 821 citations
Peers
Comparison fields: 5 of 82
- Signal Processing 543
- Information Systems 501
- Computer Networks and Communications 376
- Artificial Intelligence 295
- Computational Theory and Mathematics 224
Countries citing papers authored by Giuseppe Psaila
This map shows the geographic impact of Giuseppe Psaila'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 Giuseppe Psaila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Psaila more than expected).
Fields of papers citing papers by Giuseppe Psaila
This network shows the impact of papers produced by Giuseppe Psaila. 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 Giuseppe Psaila. The network helps show where Giuseppe Psaila may publish in the future.
Co-authorship network of co-authors of Giuseppe Psaila
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Psaila. A scholar is included among the top collaborators of Giuseppe Psaila 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 Giuseppe Psaila. Giuseppe Psaila 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 | 5 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 7 | |
| 11 | 9 | |
| 12 | 6 | |
| 13 | 4 | |
| 14 | 9 | |
| 15 | 17 | |
| 16 | Issues in Virtual Database Support for Decentralized Knowledge Discovery | 1 |
| 17 | A Relational Database Mining Framework with Classification and Discretization. | 1 |
| 18 | Incremental Refinement of Association Rule Mining. | 1 |
| 19 | Querying Shapes of Histories | 151 |
| 20 | Active data mining | 75 |
About Giuseppe Psaila
Giuseppe Psaila is a scholar working on Signal Processing, Geography, Planning and Development and Transportation, having authored 79 papers that have together received 923 indexed citations. Recurring topics across this work include Data Management and Algorithms (43 papers), Advanced Database Systems and Queries (27 papers) and Geographic Information Systems Studies (18 papers). The work is most often cited by research in Signal Processing (543 citations), Information Systems (501 citations) and Geography, Planning and Development (94 citations). Giuseppe Psaila has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Rosa Meo, Stefano Ceri, Gloria Bordogna, Mohamed Zaït, Rakesh Agrawal, Rakesh Agrawal, Edward L. Wimmers, Elena Baralis, Alfredo Cuzzocrea and Pier Luca Lanzi. Their work appears in journals such as Fuzzy Sets and Systems, Neurocomputing and Applied Sciences.
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.