Danh Le-Phuoc

3.9k total citations
47 papers, 911 citations indexed

About

Danh Le-Phuoc is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Danh Le-Phuoc has authored 47 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 25 papers in Computer Networks and Communications and 16 papers in Signal Processing. Recurrent topics in Danh Le-Phuoc's work include Semantic Web and Ontologies (28 papers), Advanced Database Systems and Queries (17 papers) and Data Management and Algorithms (16 papers). Danh Le-Phuoc is often cited by papers focused on Semantic Web and Ontologies (28 papers), Advanced Database Systems and Queries (17 papers) and Data Management and Algorithms (16 papers). Danh Le-Phuoc collaborates with scholars based in Germany, Ireland and Austria. Danh Le-Phuoc's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal on Selected Areas in Communications and Sensors.

In The Last Decade

Danh Le-Phuoc

41 papers receiving 856 citations

Peers

Danh Le-Phuoc
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
Replace Darko Anicic with:
Darko Anicic Germany
Guadalupe Ortiz Spain
Juan Boubeta‐Puig Spain
Ladjel Bellatreche France
Josiane Xavier Parreira Germany
Michael Compton Australia
Li Pan China
Bin Cheng China
Freddy Lécué United Kingdom
Elisa Quintarelli Italy
Darko Anicic Germany View profile →
Citations per field, relative to Danh Le-Phuoc
Danh Le-Phuoc · 1×
Citations per year, relative to Danh Le-Phuoc
Danh Le-Phuoc · 1×

Countries citing papers authored by Danh Le-Phuoc

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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