Karla Brkić

1.9k total citations · 1 hit paper
38 papers, 1.2k citations indexed

About

Karla Brkić is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Karla Brkić has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Media Technology. Recurrent topics in Karla Brkić's work include Video Surveillance and Tracking Methods (13 papers), Face recognition and analysis (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Karla Brkić is often cited by papers focused on Video Surveillance and Tracking Methods (13 papers), Face recognition and analysis (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Karla Brkić collaborates with scholars based in Croatia and Austria. Karla Brkić's co-authors include Alan Jović, Nikola Bogunović, Zoran Kalafatić, Siniša Šegvić, Axel Pinz, Krešimir Ćosić, Siniša Popović, Goran Krstačić, Josip Krapac and Samo Ribarič and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Intelligent Transportation Systems and Biomedical Signal Processing and Control.

In The Last Decade

Karla Brkić

37 papers receiving 1.2k citations

Hit Papers

A review of feature selection methods with applications 2015 2026 2018 2022 2015 250 500 750
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. A review of feature selection methods with applications
    2015 791 citations Alan Jović, Karla Brkić et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karla Brkić Croatia 13 460 363 130 124 94 38 1.2k
Yilin Yan United States 10 635 1.4× 352 1.0× 122 0.9× 101 0.8× 84 0.9× 23 1.3k
Abdelmgeid A. Ali Egypt 18 645 1.4× 385 1.1× 97 0.7× 125 1.0× 97 1.0× 33 1.5k
Debo Cheng China 14 708 1.5× 398 1.1× 188 1.4× 95 0.8× 97 1.0× 53 1.5k
Basabi Chakraborty Japan 17 522 1.1× 241 0.7× 99 0.8× 147 1.2× 57 0.6× 131 1.0k
Yifan Shi China 12 771 1.7× 393 1.1× 107 0.8× 136 1.1× 76 0.8× 37 1.8k
Diyar Qader Zeebaree Iraq 14 646 1.4× 360 1.0× 100 0.8× 83 0.7× 115 1.2× 25 1.3k
Michael G. Madden Ireland 16 611 1.3× 207 0.6× 98 0.8× 100 0.8× 87 0.9× 65 1.3k
Sansanee Auephanwiriyakul Thailand 16 445 1.0× 351 1.0× 75 0.6× 81 0.7× 51 0.5× 103 1.1k

Countries citing papers authored by Karla Brkić

Since Specialization
Citations

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

Fields of papers citing papers by Karla Brkić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karla Brkić

This figure shows the co-authorship network connecting the top 25 collaborators of Karla Brkić. A scholar is included among the top collaborators of Karla Brkić 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 Karla Brkić. Karla Brkić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jović, Alan, et al.. (2025). Interpretability and accuracy of machine learning algorithms for biomedical time series analysis – a scoping review. Biomedical Signal Processing and Control. 110. 108153–108153. 2 indexed citations
2.
Jakobović, Domagoj, et al.. (2023). Evolving Dispatching Rules for Dynamic Vehicle Routing with Genetic Programming. Algorithms. 16(6). 285–285. 10 indexed citations
3.
Brkić, Karla, et al.. (2022). A Privacy Preservation Pipeline for Personally Identifiable Data in Images Using Convolutional and Transformer Architectures. 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO). 924–929. 2 indexed citations
4.
Brkić, Karla, et al.. (2020). Tattoo Detection for Soft Biometric De-Identification Based on Convolutional Neural Networks. TUGraz OPEN Library (Graz University of Technology). 131. 5 indexed citations
5.
Jović, Alan, Karla Brkić, & Goran Krstačić. (2019). Detection of congestive heart failure from short-term heart rate variability segments using hybrid feature selection approach. Biomedical Signal Processing and Control. 53. 101583–101583. 21 indexed citations
6.
Brkić, Karla, et al.. (2019). Traffic Scene Classification on a Representation Budget. IEEE Transactions on Intelligent Transportation Systems. 21(1). 336–345. 12 indexed citations
7.
Brkić, Karla, et al.. (2017). I Know That Person: Generative Full Body and Face De-identification of People in Images. 1319–1328. 72 indexed citations
8.
Brkić, Karla, et al.. (2017). Face, hairstyle and clothing colour de‐identification in video sequences. IET Signal Processing. 11(9). 1062–1068. 16 indexed citations
9.
Brkić, Karla, et al.. (2016). De-identifying people in videos using neural art. 1–6. 2 indexed citations
10.
Brkić, Karla, et al.. (2015). Towards Reversible De-Identification in Video Sequences Using 3D Avatars and Steganography. 9–14. 7 indexed citations
11.
Brkić, Karla, et al.. (2015). Robust Traffic Scene Recognition with a Limited Descriptor Length. Computer Vision and Pattern Recognition. 1. 1 indexed citations
12.
Jović, Alan, Karla Brkić, & Nikola Bogunović. (2015). A review of feature selection methods with applications. 1200–1205. 791 indexed citations breakdown →
13.
Brkić, Karla, et al.. (2015). Detecting humans in videos by combining heterogeneous detectors. 5308. 1138–1143. 1 indexed citations
14.
15.
Brkić, Karla, Aitor Aldomà, Markus Vincze, Siniša Šegvić, & Zoran Kalafatić. (2014). Temporal Ensemble of Shape Functions. Eurographics. 1 indexed citations
16.
Brkić, Karla, et al.. (2013). Classifying Traffic Scenes Using The GIST Image Descriptor. arXiv (Cornell University). 1. 2 indexed citations
17.
Jović, Alan, Karla Brkić, & Nikola Bogunović. (2012). Decision tree ensembles in biomedical time-series classification. Lecture notes in computer science. 7476. 408–417. 1 indexed citations
18.
Brkić, Karla, et al.. (2011). Supporting automated grading of formative multiple choice exams by introducing student identifier matrices. International Convention on Information and Communication Technology, Electronics and Microelectronics. 993–998. 3 indexed citations
19.
Brkić, Karla, et al.. (2010). Recovering a comprehensive road appearance mosaic from video. 755–759. 1 indexed citations
20.
Brkić, Karla, Axel Pinz, & Siniša Šegvić. (2009). Traffic sign detection as a component of an automated traffic infrastructure inventory system. 129–140. 17 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.

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