Vedad Hulusić

26 papers receiving 373 citations

Peers

Vedad Hulusić
Comparison fields: 5 of 68
  • Human-Computer Interaction 100
  • Geology 67
  • Museology 41
  • Computer Vision and Pattern Recognition 193
  • Computer Graphics and Computer-Aided Design 25
Replace Alexandrino Gonçalves with:
Alexandrino Gonçalves Portugal
Harold Thwaites Malaysia
Elmedin Selmanović Bosnia and Herzegovina
Anabela Marto Portugal
Kia Ng United Kingdom
Katerina El Raheb Greece
David A. Plecher Germany
Damith Herath Australia
Francesca Nonis Italy
Rufat Rzayev Germany
Vedad Hulusić relative to Alexandrino Gonçalves Portugal Alexandrino Gonçalves's profile →
Citations per field
00.5×4.3×
Alexandrino Gonçalves · 1×
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 24 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020108
2 201950
3 201239
4 201225
5 201823
6 201223
7 201819
8 201717
9 201013
10
The influence of cross-modal interaction on perceived rendering quality thresholds
200813
11 200912
12 201610
13 20187
14 20197
15 20126
16 20105
17 20204
18 20123
19 20122
20 20212

About Vedad Hulusić

Vedad Hulusić is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Human-Computer Interaction, Experimental and Cognitive Psychology and Social Psychology, having authored 28 papers that have together received 396 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (6 papers), Multisensory perception and integration (6 papers), Image and Video Quality Assessment (6 papers), Augmented Reality Applications (6 papers), Color perception and design (5 papers), 3D Surveying and Cultural Heritage (5 papers), Visual perception and processing mechanisms (5 papers) and Color Science and Applications (3 papers). The work is most often cited by research in Human-Computer Interaction (100 citations), Geology (67 citations), Museology (41 citations), Computer Vision and Pattern Recognition (193 citations) and Computer Graphics and Computer-Aided Design (25 citations). Vedad Hulusić has collaborated with scholars based in United Kingdom, Bosnia and Herzegovina and France. Frequent co-authors include Selma Rizvić, Carlo Harvey, Kurt Debattista, Dušanka Bošković, Elmedin Selmanović, Alan Chalmers, Giuseppe Valenzise, Rafał Mantiuk, Emin Zerman and María Pérez‐Ortiz. Their work appears in journals such as The Visual Computer, Computer Graphics Forum, Behaviour and Information Technology, IEEE Transactions on Image Processing and Journal of Computers in Education.

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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