Paolo Tomeo
- Information Systems top 5%
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Co-authors
- Tommaso Di NoiaEugenio Di SciascioVito Claudio OstuniJessica RosatiIgnacio Fernández-TobíasIván CantadorVito Walter AnelliPhuong T. Nguyen
- Topics
- Recommender Systems and Techniques (13 papers)Semantic Web and Ontologies (5 papers)Data Management and Algorithms (4 papers)
In The Last Decade
Paolo Tomeo
15 papers receiving 302 citations
Peers
Comparison fields: 5 of 35
- Information Systems 257
- Artificial Intelligence 184
- Management Science and Operations Research 69
- Computer Vision and Pattern Recognition 63
- Computer Networks and Communications 44
Countries citing papers authored by Paolo Tomeo
This map shows the geographic impact of Paolo Tomeo'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 Paolo Tomeo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Tomeo more than expected).
Fields of papers citing papers by Paolo Tomeo
This network shows the impact of papers produced by Paolo Tomeo. 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 Paolo Tomeo. The network helps show where Paolo Tomeo may publish in the future.
Co-authorship network of co-authors of Paolo Tomeo
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Tomeo. A scholar is included among the top collaborators of Paolo Tomeo 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 Paolo Tomeo. Paolo Tomeo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 65 | |
| 2 | 13 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 46 | |
| 6 | 18 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | Generating examples of paths summarizing RDF datasets. | 1 |
| 11 | 52 | |
| 12 | Exploiting Regression Trees as User Models for Intent-Aware Multi-attribute Diversity | 4 |
| 13 | 7 | |
| 14 | 30 | |
| 15 | 53 |
About Paolo Tomeo
Paolo Tomeo is a scholar working on Information Systems, Signal Processing and Management Science and Operations Research, having authored 15 papers that have together received 315 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (13 papers), Semantic Web and Ontologies (5 papers) and Data Management and Algorithms (4 papers). The work is most often cited by research in Information Systems (257 citations), Artificial Intelligence (184 citations) and Management Science and Operations Research (69 citations). Paolo Tomeo has collaborated with scholars based in Italy, Spain and Poland. Frequent co-authors include Tommaso Di Noia, Eugenio Di Sciascio, Vito Claudio Ostuni, Jessica Rosati, Ignacio Fernández-Tobías, Iván Cantador, Vito Walter Anelli, Phuong T. Nguyen, Azzurra Ragone and Matteo Palmonari. Their work appears in journals such as Expert Systems with Applications, Information Sciences and User Modeling and User-Adapted Interaction.
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.