Dubravko Ćulibrk
- Plant Science top 2%
- Computer Vision and Pattern Recognition top 2%
- Analytical Chemistry top 0.5%
- Artificial Intelligence top 5%
- Ecology top 10%
- Co-authors
- Darko StefanovićAndraš AnderlaSrdjan SladojevićMarko ArsenovićMilan DelićSlavica MitrovićDaniel SocekOge Marques
- Topics
- Video Surveillance and Tracking Methods (11 papers)Advanced Vision and Imaging (10 papers)Image and Video Quality Assessment (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image Processing
- Partner nations
- SerbiaUnited StatesItaly
In The Last Decade
Dubravko Ćulibrk
54 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Plant Science 1.1k
- Computer Vision and Pattern Recognition 511
- Analytical Chemistry 472
- Artificial Intelligence 220
- Ecology 208
Countries citing papers authored by Dubravko Ćulibrk
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | Job Satisfaction, Organizational Commitment and Job Involvement: The Mediating Role of Job Involvementbreakdown → | 188 |
| 5 | 13 | |
| 6 | Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classificationbreakdown → | 1199 |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 55 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | 124 | |
| 17 | 23 | |
| 18 | 13 | |
| 19 | 13 | |
| 20 | 1 |
About Dubravko Ćulibrk
Dubravko Ćulibrk is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Space and Planetary Science, having authored 57 papers that have together received 2.2k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (11 papers), Advanced Vision and Imaging (10 papers) and Image and Video Quality Assessment (6 papers). The work is most often cited by research in Analytical Chemistry (472 citations), Plant Science (1.1k citations) and Computer Vision and Pattern Recognition (511 citations). Dubravko Ćulibrk has collaborated with scholars based in Serbia, United States and Italy. Frequent co-authors include Darko Stefanović, Andraš Anderla, Srdjan Sladojević, Marko Arsenović, Milan Delić, Slavica Mitrović, Daniel Socek, Oge Marques, Borko Furht and Bojаn Lаlić. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.
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.