Vedad Hulusić

38 papers receiving 544 citations

Peers

Vedad Hulusić
Comparison fields: 5 of 80
  • Human-Computer Interaction 126
  • Geology 91
  • Museology 50
  • Computer Vision and Pattern Recognition 274
  • Computer Graphics and Computer-Aided Design 35
Replace Alexandrino Gonçalves with:
Alexandrino Gonçalves Portugal
Harold Thwaites Malaysia
Kia Ng United Kingdom
Anabela Marto Portugal
Ramy Hammady United Kingdom
Areti Damala France
Katerina El Raheb Greece
David Alexander Plecher Germany
Haipeng Mi China
Christopher B. Stapleton United States
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Citations per field
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Citations per year

Countries citing papers authored by Vedad Hulusić

Since Specialization
Citations

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

Fields of papers citing papers by Vedad Hulusić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Vedad Hulusić, 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 Vedad Hulusić Line = papers co-authored together Vedad Hulusić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020133
2 201955
3 201246
4 201232
5 201830
6 201228
7 201827
8 201825
9 201719
10 201017
11 201615
12
The influence of cross-modal interaction on perceived rendering quality thresholds
200814
13 200912
14 201712
15 201611
16
The Virtual Reconstruction and Daylight Illumination of the Panagia Angeloktisti.
200911
17 201610
18 20179
19 20198
20 20187

About Vedad Hulusić

Vedad Hulusić is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Human-Computer Interaction, Geology and Developmental and Educational Psychology, having authored 39 papers that have together received 571 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (8 papers), Augmented Reality Applications (7 papers), 3D Surveying and Cultural Heritage (7 papers), Virtual Reality Applications and Impacts (7 papers), Multisensory perception and integration (6 papers), Visual perception and processing mechanisms (6 papers), Image Enhancement Techniques (5 papers) and Educational Games and Gamification (5 papers). The work is most often cited by research in Human-Computer Interaction (126 citations), Geology (91 citations), Museology (50 citations), Computer Vision and Pattern Recognition (274 citations) and Computer Graphics and Computer-Aided Design (35 citations). Vedad Hulusić has collaborated with scholars based in United Kingdom, France and Bosnia and Herzegovina. Frequent co-authors include Nirvana Pištoljević, Selma Rizvić, Carlo Harvey, Giuseppe Valenzise, Kurt Debattista, Dušanka Bošković, Sanda Šljivo, Elmedin Selmanović, Alan G. Chalmers and Emin Zerman. Their work appears in journals such as The Visual Computer, Computer Graphics Forum, Behaviour and Information Technology, IEEE Transactions on Image Processing and Signal Processing Image Communication.

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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