Daniele Braga
- Computer Networks and Communications top 2%
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Stefano CeriDavide BarbieriMichael GrossniklausEmanuele Della ValleAlessandro CampiFlorian DanielDavide MartinenghiPier Luca Lanzi
- Topics
- Advanced Database Systems and Queries (27 papers)Data Management and Algorithms (25 papers)Semantic Web and Ontologies (24 papers)
- Partner nations
- ItalyFinlandUnited States
In The Last Decade
Daniele Braga
34 papers receiving 737 citations
Peers
Comparison fields: 5 of 61
- Computer Networks and Communications 532
- Artificial Intelligence 530
- Signal Processing 337
- Information Systems 336
- Computer Vision and Pattern Recognition 102
Countries citing papers authored by Daniele Braga
This map shows the geographic impact of Daniele Braga'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 Daniele Braga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele Braga more than expected).
Fields of papers citing papers by Daniele Braga
This network shows the impact of papers produced by Daniele Braga. 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 Daniele Braga. The network helps show where Daniele Braga may publish in the future.
Co-authorship network of co-authors of Daniele Braga
This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Braga. A scholar is included among the top collaborators of Daniele Braga 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 Daniele Braga. Daniele Braga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 141 | |
| 3 | 69 | |
| 4 | 126 | |
| 5 | Continuous Queries and Real-time Analysis of Social Semantic Data with C-SPARQL | 14 |
| 6 | Panta Rhei: Flexible Execution Engine for Search Computing Queries. | 1 |
| 7 | 32 | |
| 8 | 26 | |
| 9 | 27 | |
| 10 | 14 | |
| 11 | 2 | |
| 12 | 65 | |
| 13 | 7 | |
| 14 | 6 | |
| 15 | 26 | |
| 16 | 31 | |
| 17 | XQuery By Example. | 1 |
| 18 | 14 | |
| 19 | A Tool for Extracting XML Association Rules from XML Documents | 8 |
| 20 | FXPath: Flexible Querying of XML Documents | 5 |
About Daniele Braga
Daniele Braga is a scholar working on Signal Processing, Computer Networks and Communications and Artificial Intelligence, having authored 35 papers that have together received 825 indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (27 papers), Data Management and Algorithms (25 papers) and Semantic Web and Ontologies (24 papers). The work is most often cited by research in Signal Processing (337 citations), Computer Networks and Communications (532 citations) and Artificial Intelligence (530 citations). Daniele Braga has collaborated with scholars based in Italy, Finland and United States. Frequent co-authors include Stefano Ceri, Davide Barbieri, Michael Grossniklaus, Emanuele Della Valle, Alessandro Campi, Florian Daniel, Davide Martinenghi, Pier Luca Lanzi, Mika Klemettinen and Angela Bonifati. Their work appears in journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and ACM Transactions on Database Systems.
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.