Vladimir Trajkovik
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 5%
- Computer Networks and Communications top 5%
- Developmental and Educational Psychology top 5%
- Artificial Intelligence top 10%
- Co-authors
- Eftim ZdravevskiPetre LameskiNuno M. GarcíaMarina VasilevaTatjana Lončar-TurukaloIoanna ChouvardaIvan ChorbevElena Vlahu‐Gjorgievska
- Topics
- Context-Aware Activity Recognition Systems (19 papers)Online Learning and Analytics (17 papers)IoT and Edge/Fog Computing (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Cleaner Production
- Partner nations
- North MacedoniaPortugalSerbia
In The Last Decade
Vladimir Trajkovik
112 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 282
- Information Systems 217
- Computer Networks and Communications 210
- Developmental and Educational Psychology 197
- Artificial Intelligence 196
Countries citing papers authored by Vladimir Trajkovik
This map shows the geographic impact of Vladimir Trajkovik'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 Vladimir Trajkovik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimir Trajkovik more than expected).
Fields of papers citing papers by Vladimir Trajkovik
This network shows the impact of papers produced by Vladimir Trajkovik. 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 Vladimir Trajkovik. The network helps show where Vladimir Trajkovik may publish in the future.
Co-authorship network of co-authors of Vladimir Trajkovik
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Trajkovik. A scholar is included among the top collaborators of Vladimir Trajkovik 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 Vladimir Trajkovik. Vladimir Trajkovik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | Generative AI for Customizable Learning Experiencesbreakdown → | 88 |
| 6 | 6 | |
| 7 | 27 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 12 | |
| 11 | 10 | |
| 12 | 5 | |
| 13 | 28 | |
| 14 | 18 | |
| 15 | 46 | |
| 16 | 10 | |
| 17 | 19 | |
| 18 | 2 | |
| 19 | INCORPORATE SOCIAL NETWORK SERVICES IN E-GOVERNMENT SOLUTIONS. THE CASE OF MACEDONIA | 1 |
| 20 | Intelligence information system (IIS) with SOA-based information systems | 2 |
About Vladimir Trajkovik
Vladimir Trajkovik is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Computer Vision and Pattern Recognition, having authored 124 papers that have together received 1.6k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (19 papers), Online Learning and Analytics (17 papers) and IoT and Edge/Fog Computing (15 papers). The work is most often cited by research in Computer Science Applications (172 citations), Health Informatics (40 citations) and Human-Computer Interaction (89 citations). Vladimir Trajkovik has collaborated with scholars based in North Macedonia, Portugal and Serbia. Frequent co-authors include Eftim Zdravevski, Petre Lameski, Nuno M. García, Marina Vasileva, Tatjana Lončar-Turukalo, Ioanna Chouvarda, Ivan Chorbev, Elena Vlahu‐Gjorgievska, José Machado da Silva and Sonja Filiposka. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Cleaner Production.
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.