Danh Le-Phuoc
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Co-authors
- Manfred HauswirthJosiane Xavier ParreiraMaxime LefrançoisArmin HallerKrzysztof JanowiczJelena MiticStefan SchmidSebastian Käbisch
- Topics
- Semantic Web and Ontologies (28 papers)Advanced Database Systems and Queries (17 papers)Data Management and Algorithms (16 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Journal on Selected Areas in CommunicationsSensors
In The Last Decade
Danh Le-Phuoc
41 papers receiving 856 citations
Peers
Comparison fields: 5 of 84
- Computer Networks and Communications 497
- Artificial Intelligence 413
- Information Systems 297
- Computer Vision and Pattern Recognition 191
- Signal Processing 133
Countries citing papers authored by Danh Le-Phuoc
This map shows the geographic impact of Danh Le-Phuoc'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 Danh Le-Phuoc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danh Le-Phuoc more than expected).
Fields of papers citing papers by Danh Le-Phuoc
This network shows the impact of papers produced by Danh Le-Phuoc. 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 Danh Le-Phuoc. The network helps show where Danh Le-Phuoc may publish in the future.
Co-authorship network of co-authors of Danh Le-Phuoc
This figure shows the co-authorship network connecting the top 25 collaborators of Danh Le-Phuoc. A scholar is included among the top collaborators of Danh Le-Phuoc 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 Danh Le-Phuoc. Danh Le-Phuoc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | Provenance Management over Linked Data Streams | 2 |
| 12 | 6 | |
| 13 | 0 | |
| 14 | 26 | |
| 15 | 148 | |
| 16 | 3 | |
| 17 | 25 | |
| 18 | 48 | |
| 19 | Super Stream Collider–Linked Stream Mashups for Everyone ⋆ | 13 |
| 20 | 1 |
About Danh Le-Phuoc
Danh Le-Phuoc is a scholar working on Signal Processing, Artificial Intelligence and Computer Networks and Communications, having authored 47 papers that have together received 911 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (28 papers), Advanced Database Systems and Queries (17 papers) and Data Management and Algorithms (16 papers). The work is most often cited by research in Computer Networks and Communications (497 citations), Information Systems (297 citations) and Artificial Intelligence (413 citations). Danh Le-Phuoc has collaborated with scholars based in Germany, Ireland and Austria. Frequent co-authors include Manfred Hauswirth, Josiane Xavier Parreira, Maxime Lefrançois, Armin Haller, Krzysztof Janowicz, Jelena Mitic, Stefan Schmid, Sebastian Käbisch, Abdelmajid Khelil and Darko Anicic. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Journal on Selected Areas in Communications and Sensors.
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.