Ludovico Boratto
- Information Systems top 1%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Management Science and Operations Research top 5%
- Sociology and Political Science top 10%
- Co-authors
- Salvatore CartaGianni FenuMirko MarrasRoberto SaiaGuilherme RamosMaría SalamóM. MancaMartin Stettinger
- Topics
- Recommender Systems and Techniques (65 papers)Advanced Graph Neural Networks (20 papers)Advanced Bandit Algorithms Research (20 papers)
In The Last Decade
Ludovico Boratto
104 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Information Systems 700
- Artificial Intelligence 458
- Computer Vision and Pattern Recognition 189
- Management Science and Operations Research 180
- Sociology and Political Science 152
Countries citing papers authored by Ludovico Boratto
This map shows the geographic impact of Ludovico Boratto'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 Ludovico Boratto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ludovico Boratto more than expected).
Fields of papers citing papers by Ludovico Boratto
This network shows the impact of papers produced by Ludovico Boratto. 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 Ludovico Boratto. The network helps show where Ludovico Boratto may publish in the future.
Co-authorship network of co-authors of Ludovico Boratto
This figure shows the co-authorship network connecting the top 25 collaborators of Ludovico Boratto. A scholar is included among the top collaborators of Ludovico Boratto 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 Ludovico Boratto. Ludovico Boratto 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 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 13 | |
| 17 | 10 | |
| 18 | Recommendation in Persuasive eHealth Systems: an Effective Strategy to Spot Users' Losing Motivation to Exercise. | 6 |
| 19 | 2 | |
| 20 | Groups Identification and Individual Recommendations in Group Recommendation Algorithms. | 23 |
About Ludovico Boratto
Ludovico Boratto is a scholar working on Information Systems, Management Science and Operations Research and Artificial Intelligence, having authored 117 papers that have together received 1.1k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (65 papers), Advanced Graph Neural Networks (20 papers) and Advanced Bandit Algorithms Research (20 papers). The work is most often cited by research in Information Systems (700 citations), Computer Science Applications (81 citations) and Management Science and Operations Research (180 citations). Ludovico Boratto has collaborated with scholars based in Italy, Spain and Portugal. Frequent co-authors include Salvatore Carta, Gianni Fenu, Mirko Marras, Roberto Saia, Guilherme Ramos, María Salamó, M. Manca, Martin Stettinger, Marko Tkalčič and Alexander Felfernig. Their work appears in journals such as Information Sciences, Computer and Neurocomputing.
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.