Enrico Palumbo
- Artificial Intelligence top 10%
- Information Systems top 5%
- Computer Vision and Pattern Recognition
- Management Science and Operations Research
- Clinical Psychology
- Co-authors
- Giuseppe RizzoRaphaël TroncyElena BaralisMaurizio MorisioAlice WangEnrico FerroHugues BouchardMatteo Rossi
- Topics
- Topic Modeling (7 papers)Recommender Systems and Techniques (7 papers)Advanced Graph Neural Networks (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsJournal of Web Semantics
- Partner nations
- ItalyFranceNetherlands
In The Last Decade
Enrico Palumbo
17 papers receiving 240 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 163
- Information Systems 133
- Computer Vision and Pattern Recognition 33
- Management Science and Operations Research 31
- Clinical Psychology 23
Countries citing papers authored by Enrico Palumbo
This map shows the geographic impact of Enrico Palumbo'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 Enrico Palumbo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrico Palumbo more than expected).
Fields of papers citing papers by Enrico Palumbo
This network shows the impact of papers produced by Enrico Palumbo. 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 Enrico Palumbo. The network helps show where Enrico Palumbo may publish in the future.
Co-authorship network of co-authors of Enrico Palumbo
This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Palumbo. A scholar is included among the top collaborators of Enrico Palumbo 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 Enrico Palumbo. Enrico Palumbo 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 47 | |
| 7 | 4 | |
| 8 | 50 | |
| 9 | 2 | |
| 10 | 6 | |
| 11 | 10 | |
| 12 | Predicting your next stop-over from location-based social network data with recurrent neural networks | 22 |
| 13 | 7 | |
| 14 | 12 | |
| 15 | 1 | |
| 16 | 72 | |
| 17 | 2 | |
| 18 | 3 |
About Enrico Palumbo
Enrico Palumbo is a scholar working on Transportation, Information Systems and Geography, Planning and Development, having authored 18 papers that have together received 250 indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Recommender Systems and Techniques (7 papers) and Advanced Graph Neural Networks (4 papers). The work is most often cited by research in Information Systems (133 citations), Artificial Intelligence (163 citations) and Transportation (22 citations). Enrico Palumbo has collaborated with scholars based in Italy, France and Netherlands. Frequent co-authors include Giuseppe Rizzo, Raphaël Troncy, Elena Baralis, Maurizio Morisio, Alice Wang, Enrico Ferro, Hugues Bouchard, Matteo Rossi, Mattia Federico Leone and Massimo Valla. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Web Semantics.
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.