Dubravko Ćulibrk

3.4k total citations · 2 hit papers
57 papers, 2.2k citations indexed

About

Dubravko Ćulibrk is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Dubravko Ćulibrk has authored 57 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in Dubravko Ćulibrk's work include Video Surveillance and Tracking Methods (11 papers), Advanced Vision and Imaging (10 papers) and Image and Video Quality Assessment (6 papers). Dubravko Ćulibrk is often cited by papers focused on Video Surveillance and Tracking Methods (11 papers), Advanced Vision and Imaging (10 papers) and Image and Video Quality Assessment (6 papers). Dubravko Ćulibrk collaborates with scholars based in Serbia, United States and Italy. Dubravko Ćulibrk's co-authors include Darko Stefanović, Andraš Anderla, Srdjan Sladojević, Marko Arsenović, Milan Delić, Slavica Mitrović, Daniel Socek, Oge Marques, Borko Furht and Bojаn Lаlić and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Dubravko Ćulibrk

54 papers receiving 2.0k citations

Hit Papers

align trajectories

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.

Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification

2016 1.2k citations Srdjan Sladojević, Marko Arsenović et al. Computational Intelligence and Neuroscience profile →
Job Satisfaction, Organizational Commitment and Job Involvement: The Mediating Role of Job Involvement

2018 188 citations Milan Delić, Slavica Mitrović et al. Frontiers in Psychology profile →

Peers

Dubravko Ćulibrk

PS

CVPR

AC

AI

ECOLO

M. Ikram Ullah Lali Pakistan

Suyanto Suyanto Indonesia

Gianni Fenu Italy

Paloma Dı́az Spain

Lukito Edi Nugroho Indonesia

Paulus Insap Santosa Indonesia

U. Srinivasulu Reddy India

Mohammed Eunus Ali Bangladesh

Azlinah Mohamed Malaysia

Adnan Abid Pakistan

M. Ikram Ullah Lali Pakistan

Dubravko Ćulibrk

876 ×0.8

PS

175 ×0.3

CVPR

432 ×0.9

AC

370 ×1.7

AI

119 ×0.6

ECOLO

Citations per year, relative to Dubravko Ćulibrk Dubravko Ćulibrk (= 1×) peers M. Ikram Ullah Lali

Countries citing papers authored by Dubravko Ćulibrk

Since Specialization

Citations

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

Fields of papers citing papers by Dubravko Ćulibrk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dubravko Ćulibrk

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Bojić, Ljubiša, Matteo Cinelli, Dubravko Ćulibrk, & Boris Delibašić. (2024). CERN for AI: a theoretical framework for autonomous simulation-based artificial intelligence testing and alignment. European Journal of Futures Research. 12(1). 5 indexed citations

2.

Ćulibrk, Dubravko, et al.. (2024). Diffusion Model for Mammography Anomaly Detection. 1–5.

3.

Ćulibrk, Dubravko, et al.. (2024). A Deep Learning Approach to Estimate Soil Organic Carbon from Remote Sensing. Remote Sensing. 16(4). 655–655. 9 indexed citations

4.

Delić, Milan, et al.. (2018). Job Satisfaction, Organizational Commitment and Job Involvement: The Mediating Role of Job Involvement. Frontiers in Psychology. 9. 132–132. 188 indexed citations breakdown →

5.

Rikalović, Aleksandar, et al.. (2018). Deep Learning for Historical Cadastral Maps Digitization: Overview, Challenges and Potential. Digital Library (University of West Bohemia). 13 indexed citations

6.

Sladojević, Srdjan, Marko Arsenović, Andraš Anderla, Dubravko Ćulibrk, & Darko Stefanović. (2016). Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification. Computational Intelligence and Neuroscience. 2016. 1–11. 1199 indexed citations breakdown →

7.

Sartori, Andreza, Dubravko Ćulibrk, Yan Yan, Remo Job, & Nicu Sebe. (2016). Computational Modeling of Affective Qualities of Abstract Paintings. IEEE Multimedia. 23(3). 44–54. 5 indexed citations

8.

Ćulibrk, Dubravko, et al.. (2014). Sensing Technologies For Precision Irrigation. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 5 indexed citations

9.

Anderla, Andraš, et al.. (2013). MR Image Based Approach for Metal Artifact Reduction in X‐Ray CT. The Scientific World JOURNAL. 2013(1). 524243–524243. 6 indexed citations

10.

Radonić, Jelena, et al.. (2012). Prediction of gas-particle partitioning of polycyclic aromatic hydrocarbons based on M5' model trees. Thermal Science. 16(2). 551–560. 4 indexed citations

11.

Ćulibrk, Dubravko, et al.. (2011). A comparative study of spatial, temporal and content-based patterns emerging in YouTube and Flickr. 25. 189–194. 7 indexed citations

12.

Ćulibrk, Dubravko, et al.. (2011). Why we believe the computer when it lies. Computers in Human Behavior. 28(1). 143–152. 3 indexed citations

13.

Ćulibrk, Dubravko, et al.. (2010). Salient Motion Features for Video Quality Assessment. IEEE Transactions on Image Processing. 20(4). 948–958. 55 indexed citations

14.

Crnojević, Vladimir, et al.. (2009). Optimal wavelet differencing method for robust motion detection. 645–648. 13 indexed citations

15.

Ćulibrk, Dubravko, et al.. (2009). Real-time Stable Texture Regions Extraction for Motion-Based Object Segmentation. 17.1–17.11. 1 indexed citations

16.

Ćulibrk, Dubravko, Oge Marques, Daniel Socek, Hari Kalva, & Borko Furht. (2007). Neural Network Approach to Background Modeling for Video Object Segmentation. IEEE Transactions on Neural Networks. 18(6). 1614–1627. 124 indexed citations

17.

Socek, Daniel, Spyros S. Magliveras, Dubravko Ćulibrk, et al.. (2007). Digital Video Encryption Algorithms Based on Correlation-Preserving Permutations. 2007. 1–15. 23 indexed citations

18.

Socek, Daniel, Spyros S. Magliveras, Dubravko Ćulibrk, et al.. (2007). Digital Video Encryption Algorithms Based on Correlation-Preserving Permutations. 2007(1). 52965–52965. 13 indexed citations

19.

Ćulibrk, Dubravko, et al.. (2006). A NEURAL NETWORK APPROACH TO BAYESIAN BACKGROUND MODELING FOR VIDEO OBJECT SEGMENTATION. 474–479. 13 indexed citations

20.

Socek, Daniel, Dubravko Ćulibrk, Hari Kalva, Oge Marques, & Borko Furht. (2006). Permutation-Based Low-Complexity Alternate Coding in Multi-View H.264/AVC. 2141–2144. 1 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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