Eva Cetinić
Impact in
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- Digital Media and Visual Art
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- Generative Adversarial Networks and Image Synthesis
- Visual Attention and Saliency Detection
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
Papers in
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- Visual Attention and Saliency Detection 6
- Multimodal Machine Learning Applications 1
- Image Enhancement Techniques 1
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- Aesthetic Perception and Analysis 7
- Co-authors
- James She (1 shared paper)Sonja Grgić (6 shared papers)Tomislav Lipić (4 shared papers)Davor Davidović (1 shared paper)Davide Salomoni (1 shared paper)Germán Moltó (1 shared paper)Miguel Caballer (1 shared paper)Giacinto Donvito (1 shared paper)
- Journals
- ACM Transactions on Multimedia Computing Communications and Applications (1 paper)IEEE Access (1 paper)Expert Systems with Applications (1 paper)Pattern Recognition Letters (1 paper)Journal of Imaging (2 papers)
- Partner nations
- CroatiaUnited KingdomSwitzerland
In The Last Decade
Eva Cetinić
10 papers receiving 514 citations
Eva Cetinić's Hit Papers
Peers
Comparison fields: 5 of 105
- Computer Graphics and Computer-Aided Design 70
- Computer Vision and Pattern Recognition 239
- Cognitive Neuroscience 202
- Health Informatics 14
- Human-Computer Interaction 53
Countries citing papers authored by Eva Cetinić
This map shows the geographic impact of Eva Cetinić'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 Eva Cetinić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Cetinić more than expected).
Fields of papers citing papers by Eva Cetinić
This network shows the impact of papers produced by Eva Cetinić. 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 Eva Cetinić. The network helps show where Eva Cetinić may publish in the future.
Co-authors
The 8 scholars most cited alongside Eva Cetinić, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Understanding and Creating Art with AI: Review and Outlook Hit paper breakdown → | 2022 | 250 |
| 2 | 2018 | 156 | |
| 3 | 2019 | 44 | |
| 4 | 2019 | 27 | |
| 5 | 2021 | 16 | |
| 6 | Automated painter recognition based on image feature extraction | 2013 | 15 |
| 7 | 2016 | 12 | |
| 8 | 2023 | 10 | |
| 9 | 2019 | 2 | |
| 10 | 2018 | 2 | |
| 11 | 2025 | 0 |
About Eva Cetinić
Eva Cetinić is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Conservation, Computer Networks and Communications and Control and Systems Engineering, having authored 11 papers that have together received 534 indexed citations. Recurring topics across this work include Aesthetic Perception and Analysis (7 papers), Visual Attention and Saliency Detection (6 papers), Conservation Techniques and Studies (4 papers), Hand Gesture Recognition Systems (1 paper), Digital Media and Visual Art (1 paper), Multimodal Machine Learning Applications (1 paper), Image Enhancement Techniques (1 paper) and Cultural Heritage Materials Analysis (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (70 citations), Computer Vision and Pattern Recognition (239 citations), Cognitive Neuroscience (202 citations), Health Informatics (14 citations) and Human-Computer Interaction (53 citations). Eva Cetinić has collaborated with scholars based in Croatia, United Kingdom and Switzerland. Frequent co-authors include James She, Sonja Grgić, Tomislav Lipić, Davor Davidović, Davide Salomoni, Germán Moltó, Miguel Caballer and Giacinto Donvito. Their work appears in journals such as ACM Transactions on Multimedia Computing Communications and Applications, IEEE Access, Expert Systems with Applications, Pattern Recognition Letters and Journal of Imaging.
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.