Eva Cetinić

1000 total citations · 1 hit paper
11 papers, 503 citations indexed

About

Eva Cetinić is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Conservation. According to data from OpenAlex, Eva Cetinić has authored 11 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Cognitive Neuroscience and 4 papers in Conservation. Recurrent topics in Eva Cetinić's work include Aesthetic Perception and Analysis (7 papers), Visual Attention and Saliency Detection (6 papers) and Conservation Techniques and Studies (4 papers). Eva Cetinić is often cited by papers focused on Aesthetic Perception and Analysis (7 papers), Visual Attention and Saliency Detection (6 papers) and Conservation Techniques and Studies (4 papers). Eva Cetinić collaborates with scholars based in Croatia, United Kingdom and Switzerland. Eva Cetinić's co-authors include James She, Sonja Grgić, Tomislav Lipić, Davide Salomoni, Miguel Caballer, Germán Moltó, Davor Davidović and Giacinto Donvito and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Eva Cetinić

10 papers receiving 486 citations

Hit Papers

Understanding and Creating Art with AI: Review and Outlook 2022 2026 2023 2024 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Understanding and Creating Art with AI: Review and Outlook
    2022 226 citations Eva Cetinić, James She ACM Transactions on Multimedia Computing Communications and Applications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eva Cetinić Croatia 8 236 197 78 69 48 11 503
William Latham United Kingdom 9 176 0.7× 101 0.5× 99 1.3× 62 0.9× 18 0.4× 31 383
Nicola Orio Italy 14 554 2.3× 222 1.1× 176 2.3× 7 0.1× 99 2.1× 73 772
Casey Reas United States 7 149 0.6× 68 0.3× 42 0.5× 29 0.4× 112 2.3× 17 510
David Mould Canada 16 420 1.8× 105 0.5× 20 0.3× 290 4.2× 114 2.4× 78 729
John Maeda United States 3 80 0.3× 40 0.2× 28 0.4× 19 0.3× 56 1.2× 4 303
Rosalee Wolfe United States 12 157 0.7× 91 0.5× 50 0.6× 62 0.9× 233 4.9× 62 585
Ming Cheung Hong Kong 10 187 0.8× 36 0.2× 77 1.0× 10 0.1× 15 0.3× 33 393
John Lasseter 6 340 1.4× 47 0.2× 74 0.9× 131 1.9× 88 1.8× 13 699
Pavel Slavı́k Czechia 12 177 0.8× 125 0.6× 57 0.7× 76 1.1× 159 3.3× 73 480
João Correia Portugal 8 90 0.4× 84 0.4× 51 0.7× 21 0.3× 14 0.3× 36 274

Countries citing papers authored by Eva Cetinić

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Eva Cetinić

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Cetinić. A scholar is included among the top collaborators of Eva Cetinić based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eva Cetinić. Eva Cetinić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
2.
Cetinić, Eva, et al.. (2023). A Computational Approach to Hand Pose Recognition in Early Modern Paintings. Journal of Imaging. 9(6). 120–120. 9 indexed citations
3.
Cetinić, Eva & James She. (2022). Understanding and Creating Art with AI: Review and Outlook. ACM Transactions on Multimedia Computing Communications and Applications. 18(2). 1–22. 226 indexed citations breakdown →
4.
Cetinić, Eva. (2021). Towards Generating and Evaluating Iconographic Image Captions of Artworks. Journal of Imaging. 7(8). 123–123. 16 indexed citations
5.
Caballer, Miguel, Eva Cetinić, Davor Davidović, et al.. (2019). Digital repository as a service: automatic deployment of an Invenio-based repository using TOSCA orchestration and Apache Mesos. SHILAP Revista de lepidopterología. 214. 7023–7023. 2 indexed citations
6.
Cetinić, Eva, Tomislav Lipić, & Sonja Grgić. (2019). Learning the Principles of Art History with convolutional neural networks. Pattern Recognition Letters. 129. 56–62. 28 indexed citations
7.
Cetinić, Eva, Tomislav Lipić, & Sonja Grgić. (2019). A Deep Learning Perspective on Beauty, Sentiment, and Remembrance of Art. IEEE Access. 7. 73694–73710. 43 indexed citations
8.
Cetinić, Eva, Tomislav Lipić, & Sonja Grgić. (2018). How Convolutional Neural Networks Remember Art. 9. 1–5. 2 indexed citations
9.
Cetinić, Eva, Tomislav Lipić, & Sonja Grgić. (2018). Fine-tuning Convolutional Neural Networks for fine art classification. Expert Systems with Applications. 114. 107–118. 151 indexed citations
10.
Cetinić, Eva & Sonja Grgić. (2016). Genre classification of paintings. 201–204. 12 indexed citations
11.
Cetinić, Eva & Sonja Grgić. (2013). Automated painter recognition based on image feature extraction. International Symposium ELMAR. 19–22. 14 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by William Latham Breakdown of academic impact, for papers by Nicola Orio Breakdown of academic impact, for papers by Casey Reas Breakdown of academic impact, for papers by David Mould Breakdown of academic impact, for papers by John Maeda Breakdown of academic impact, for papers by Rosalee Wolfe Breakdown of academic impact, for papers by Ming Cheung Breakdown of academic impact, for papers by John Lasseter Breakdown of academic impact, for papers by Pavel Slavı́k Breakdown of academic impact, for papers by João Correia
Rankless by CCL
2026