Jure Kovač

923 citations
31 papers · 719 · h-index 10

Impact in

Papers in

Jure Kovač

30 papers receiving 655 citations

Peers

Jure Kovač
Comparison fields: 5 of 100
  • Human-Computer Interaction 139
  • Computer Vision and Pattern Recognition 485
  • Signal Processing 75
  • Industrial and Manufacturing Engineering 62
  • Media Technology 26
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Graham Dove United States
Ricardo Costa Portugal
Narges Mahyar United States
Licínio Roque Portugal
Amalia de Götzen Denmark
Ding-Long Huang China
Michael G. Wagner United States
Sarah Goodwin Australia
Paul S. Strauss United States
Chiara Eva Catalano Italy
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Citations per field
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Citations per year

Countries citing papers authored by Jure Kovač

Since Specialization
Citations

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

Fields of papers citing papers by Jure Kovač

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Jure Kovač, 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 Jure Kovač Line = papers co-authored together Jure Kovač links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004423
2
COLOR-BASED FACE DETECTION IN THE "15 SECONDS OF FAME" ART INSTALLATION
200381
3 200034
4 201433
5 200426
6 201725
7 200414
8 201813
9 201312
10 201010
11 20155
12 20185
13 20115
14 20134
15
Eliminating the Influence of Non-Standard Illumination from Images
20034
16 20134
17
Dimensions of organizational change
20172
18 20182
19 20122
20 20162

About Jure Kovač

Jure Kovač is a scholar working on Social Psychology, Strategy and Management, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics and Management Information Systems, having authored 31 papers that have together received 719 indexed citations. Recurring topics across this work include Color Science and Applications (5 papers), Color perception and design (5 papers), Innovation and Knowledge Management (4 papers), Industrial Vision Systems and Defect Detection (4 papers), Human Pose and Action Recognition (3 papers), Gait Recognition and Analysis (3 papers), Competency Development and Evaluation (3 papers) and International Student and Expatriate Challenges (2 papers). The work is most often cited by research in Human-Computer Interaction (139 citations), Computer Vision and Pattern Recognition (485 citations), Signal Processing (75 citations), Industrial and Manufacturing Engineering (62 citations) and Media Technology (26 citations). Jure Kovač has collaborated with scholars based in Slovenia, Austria and Hungary. Frequent co-authors include Peter Peer, Franc Solina, Vitomir Štruc, Matjaž Maletič, Anja Žnidaršič, Brigita Gajšek, Helmut Kasper, Benjamin T. Hazen and Jon Aarum Andersen. Their work appears in journals such as Fibres and Textiles in Eastern Europe, International Journal of Project Management, Multimedia Tools and Applications, Organizacija and Journal of East European Management Studies.

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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