Andrea Mauri
- Computer Science Applications top 5%
- Artificial Intelligence
- Information Systems
- Human-Computer Interaction
- Management Science and Operations Research
- Co-authors
- Alessandro BozzonMarco BrambillaStefano CeriHimanshu VermaTing-Hao HuangIllah NourbakhshAisling Ann O’KaneJavier Luis Izquierdo
- Topics
- Mobile Crowdsensing and Crowdsourcing (9 papers)Data Stream Mining Techniques (6 papers)Innovative Human-Technology Interaction (5 papers)
- Partner nations
- ItalyNetherlandsFrance
In The Last Decade
Andrea Mauri
26 papers receiving 182 citations
Peers
Comparison fields: 5 of 82
- Computer Science Applications 54
- Artificial Intelligence 53
- Information Systems 32
- Human-Computer Interaction 20
- Management Science and Operations Research 16
Countries citing papers authored by Andrea Mauri
This map shows the geographic impact of Andrea Mauri'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 Andrea Mauri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Mauri more than expected).
Fields of papers citing papers by Andrea Mauri
This network shows the impact of papers produced by Andrea Mauri. 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 Andrea Mauri. The network helps show where Andrea Mauri may publish in the future.
Co-authorship network of co-authors of Andrea Mauri
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Mauri. A scholar is included among the top collaborators of Andrea Mauri 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 Andrea Mauri. Andrea Mauri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | Decolonizing Federated Learning: Designing Fair and Responsible Resource Allocation Position Paper | 1 |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 38 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 7 | |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 11 | |
| 16 | 7 | |
| 17 | Designing complex crowdsourcing applications covering multiple platforms and tasks | 1 |
| 18 | Where are the RDF Streams?: Deploying RDF Streams on the Web of Data with TripleWave | 4 |
| 19 | 2 | |
| 20 | 30 |
About Andrea Mauri
Andrea Mauri is a scholar working on Computer Science Applications, Human-Computer Interaction and Transportation, having authored 30 papers that have together received 196 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (9 papers), Data Stream Mining Techniques (6 papers) and Innovative Human-Technology Interaction (5 papers). The work is most often cited by research in Computer Science Applications (54 citations), Health Informatics (8 citations) and Human-Computer Interaction (20 citations). Andrea Mauri has collaborated with scholars based in Italy, Netherlands and France. Frequent co-authors include Alessandro Bozzon, Marco Brambilla, Stefano Ceri, Himanshu Verma, Ting-Hao Huang, Illah Nourbakhsh, Aisling Ann O’Kane, Javier Luis Izquierdo, Henry Muccini and Jordi Cabot. Their work appears in journals such as Energies, Proceedings of the VLDB Endowment and IEEE Internet Computing.
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.