Radu Vasiu

664 citations
94 papers · 476 · h-index 12

Impact in

Papers in

Radu Vasiu

84 papers receiving 445 citations

Peers

Radu Vasiu
Comparison fields: 5 of 83
  • Computer Science Applications 125
  • Computer Vision and Pattern Recognition 158
  • Human-Computer Interaction 43
  • Information Systems 104
  • Media Technology 38
Replace György Molnár with:
György Molnár Hungary
Xizhe Wang China
Athanasios Manitsaris Greece
Inmaculada Rodríguez Spain
Fabio Clarizia Italy
Patricia Morreale United States
Sergi Robles Spain
Bin Hou China
Álvaro Soria Argentina
Evelio J. González Spain
Radu Vasiu relative to György Molnár Hungary György Molnár's profile →
Citations per field
00.5×1.5×2.4×
György Molnár · 1×
Citations per year

Countries citing papers authored by Radu Vasiu

Since Specialization
Citations

This map shows the geographic impact of Radu Vasiu'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 Radu Vasiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Radu Vasiu more than expected).

Fields of papers citing papers by Radu Vasiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Radu Vasiu. 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 Radu Vasiu. The network helps show where Radu Vasiu may publish in the future.

Co-authors

The 18 scholars most cited alongside Radu Vasiu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Radu Vasiu Line = papers co-authored together Radu Vasiu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201233
2 202123
3 201419
4 202116
5 202014
6 201514
7 201714
8 201814
9 202012
10 201512
11 202011
12
LOD4AR: exploring linked open data with a mobile augmented reality web application
201411
13
The detection of moving objects in video by background subtraction using Dempster-Shafer theory
201511
14 202010
15 202310
16 201410
17 201710
18 20149
19 20149
20 20158

About Radu Vasiu

Radu Vasiu is a scholar working on Computer Science Applications, Computer Vision and Pattern Recognition, Information Systems, Education and Computer Networks and Communications, having authored 94 papers that have together received 476 indexed citations. Recurring topics across this work include Online Learning and Analytics (17 papers), Open Education and E-Learning (14 papers), E-Learning and Knowledge Management (13 papers), Mobile Learning in Education (10 papers), Online and Blended Learning (8 papers), Semantic Web and Ontologies (7 papers), Video Analysis and Summarization (7 papers) and Augmented Reality Applications (7 papers). The work is most often cited by research in Computer Science Applications (125 citations), Computer Vision and Pattern Recognition (158 citations), Human-Computer Interaction (43 citations), Information Systems (104 citations) and Media Technology (38 citations). Radu Vasiu has collaborated with scholars based in Romania, Germany and United States. Frequent co-authors include Silviu Vert, Diana Andone, Ciprian Orhei, Mark Frydenberg, Thierry Bouwmans, El-Hadi Zahzah, O. Munteanu, Lucian Radu, Mihai Stoica and Zoran Bojković. Their work appears in journals such as Applied Sciences, Interaction design & architecture(s), IEEE Access, Journal of Thermal Analysis and Calorimetry and Electronics.

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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