Radu Vasiu

664 citations
79 papers · 297 · h-index 10

Impact in

Papers in

Radu Vasiu

68 papers receiving 274 citations

Peers

Radu Vasiu
Comparison fields: 5 of 68
  • Computer Science Applications 79
  • Computer Vision and Pattern Recognition 100
  • Human-Computer Interaction 24
  • Information Systems 61
  • Media Technology 23
Replace Bin Hou with:
Bin Hou China
Valéria Farinazzo Martins Brazil
Leonor Adriana Cárdenas-Robledo Mexico
Malinka Ivanova Bulgaria
Dongho Kim South Korea
Fabrício Herpich Brazil
Thibault Carron France
Paraskevi Tzouveli Greece
José Valdeni de Lima Brazil
Mohamad Bilal Ali Malaysia
Radu Vasiu relative to Bin Hou China Bin Hou's profile →
Citations per field
00.5×2.7×
Bin Hou · 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 16 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 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202118
2 202114
3 201713
4 201813
5 202012
6 201512
7
The detection of moving objects in video by background subtraction using Dempster-Shafer theory
201511
8 202310
9 202010
10 20149
11 20158
12 20148
13 20157
14
LOD4AR: exploring linked open data with a mobile augmented reality web application
20147
15 20157
16 20137
17 20166
18 20145
19 20225
20 20105

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 79 papers that have together received 297 indexed citations. Recurring topics across this work include Online Learning and Analytics (15 papers), Open Education and E-Learning (12 papers), E-Learning and Knowledge Management (10 papers), Online and Blended Learning (7 papers), Mobile Learning in Education (7 papers), Video Analysis and Summarization (6 papers), Augmented Reality Applications (6 papers) and Multimedia Communication and Technology (4 papers). The work is most often cited by research in Computer Science Applications (79 citations), Computer Vision and Pattern Recognition (100 citations), Human-Computer Interaction (24 citations), Information Systems (61 citations) and Media Technology (23 citations). Radu Vasiu has collaborated with scholars based in Romania, Germany and United States. Frequent co-authors include Diana Andone, Silviu Vert, Ciprian Orhei, O. Munteanu, El-Hadi Zahzah, Thierry Bouwmans, Mark Frydenberg, Lucian Radu, Daniel Ursu and Cătălin Daniel Căleanu. Their work appears in journals such as Applied Sciences, Interaction design & architecture(s), International Journal of Emerging Technologies in Learning (iJET), Electronics and Journal of Thermal Analysis and Calorimetry.

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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