Dejan Gjorgjevikj
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Molecular Biology
- Biomedical Engineering
- Co-authors
- Gjorgji MadjarovSašo DžeroskiDragi KocevIvan ChorbevEftim ZdravevskiAndrea KulakovPetre LameskiShaohui Zhang
- Topics
- Face and Expression Recognition (6 papers)Image Retrieval and Classification Techniques (6 papers)Text and Document Classification Technologies (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPattern RecognitionMeasurement Science and Technology
- Partner nations
- North MacedoniaSloveniaChina
In The Last Decade
Dejan Gjorgjevikj
18 papers receiving 806 citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Artificial Intelligence 538
- Computer Vision and Pattern Recognition 264
- Information Systems 184
- Molecular Biology 135
- Biomedical Engineering 63
Countries citing papers authored by Dejan Gjorgjevikj
This map shows the geographic impact of Dejan Gjorgjevikj'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 Dejan Gjorgjevikj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dejan Gjorgjevikj more than expected).
Fields of papers citing papers by Dejan Gjorgjevikj
This network shows the impact of papers produced by Dejan Gjorgjevikj. 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 Dejan Gjorgjevikj. The network helps show where Dejan Gjorgjevikj may publish in the future.
Co-authorship network of co-authors of Dejan Gjorgjevikj
This figure shows the co-authorship network connecting the top 25 collaborators of Dejan Gjorgjevikj. A scholar is included among the top collaborators of Dejan Gjorgjevikj 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 Dejan Gjorgjevikj. Dejan Gjorgjevikj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 9 | |
| 3 | Precision Apiculture – IoT System for remote monitoring of honeybee colonies | 2 |
| 4 | Data Collection Module for Human Activity Recognition | 1 |
| 5 | 15 | |
| 6 | 9 | |
| 7 | 25 | |
| 8 | 38 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | An extensive experimental comparison of methods for multi-label learningbreakdown → | 497 |
| 12 | Hierarchical classification architectures applied to Magnetic Resonance Images | 2 |
| 13 | 26 | |
| 14 | 3 | |
| 15 | Classification of magnetic resonance images | 3 |
| 16 | Towards Improving Magnetic Resonance Image Classification | 1 |
| 17 | Ensembles of Binary SVM Decision Trees | 3 |
| 18 | A Multi-class SVM Classifier Utilizing Binary Decision Tree | 143 |
| 19 | 38 |
About Dejan Gjorgjevikj
Dejan Gjorgjevikj is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Software, having authored 19 papers that have together received 847 indexed citations. Recurring topics across this work include Face and Expression Recognition (6 papers), Image Retrieval and Classification Techniques (6 papers) and Text and Document Classification Technologies (6 papers). The work is most often cited by research in Artificial Intelligence (538 citations), Computer Vision and Pattern Recognition (264 citations) and Information Systems (184 citations). Dejan Gjorgjevikj has collaborated with scholars based in North Macedonia, Slovenia and China. Frequent co-authors include Gjorgji Madjarov, Sašo Džeroski, Dragi Kocev, Ivan Chorbev, Eftim Zdravevski, Andrea Kulakov, Petre Lameski, Shaohui Zhang, Chuan Li and Jianyu Long. Their work appears in journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Measurement Science and Technology.
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.