Martin Žagar
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Co-authors
- Branko MihaljevićLaurent BachMario KovačIvana BosnićAli RazaMario ŽagarMateo SokačDavid Atienza
- Topics
- Online Learning and Analytics (5 papers)Advanced Data Compression Techniques (3 papers)Experimental Learning in Engineering (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSustainability
- Partner nations
- CroatiaUnited Arab EmiratesSwitzerland
In The Last Decade
Martin Žagar
23 papers receiving 379 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Information Systems 325
- Computer Networks and Communications 171
- Artificial Intelligence 74
- Computer Vision and Pattern Recognition 40
- Electrical and Electronic Engineering 38
Countries citing papers authored by Martin Žagar
This map shows the geographic impact of Martin Žagar'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 Martin Žagar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Žagar more than expected).
Fields of papers citing papers by Martin Žagar
This network shows the impact of papers produced by Martin Žagar. 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 Martin Žagar. The network helps show where Martin Žagar may publish in the future.
Co-authorship network of co-authors of Martin Žagar
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Žagar. A scholar is included among the top collaborators of Martin Žagar 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 Martin Žagar. Martin Žagar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | Comparative analysis of blockchain consensus algorithmsbreakdown → | 340 |
| 14 | 2 | |
| 15 | 3 | |
| 16 | Remote control of model vehicles using Android mobile devices | 3 |
| 17 | 1 | |
| 18 | FRAMEWORK FOR 4D MEDICAL DATA COMPRESSION | 6 |
| 19 | 3D surface analysis and classification in neuroimaging segmentation. | 0 |
| 20 | In Search of a Smile: SMIL Indexing System for Multimedia Learning | 2 |
About Martin Žagar
Martin Žagar is a scholar working on Computer Science Applications, Architecture and Anatomy, having authored 35 papers that have together received 403 indexed citations. Recurring topics across this work include Online Learning and Analytics (5 papers), Advanced Data Compression Techniques (3 papers) and Experimental Learning in Engineering (3 papers). The work is most often cited by research in Information Systems (325 citations), Computer Networks and Communications (171 citations) and Management Information Systems (33 citations). Martin Žagar has collaborated with scholars based in Croatia, United Arab Emirates and Switzerland. Frequent co-authors include Branko Mihaljević, Laurent Bach, Mario Kovač, Ivana Bosnić, Ali Raza, Mario Žagar, Mateo Sokač, David Atienza, Marina Zapater and Domagoj Tolić. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sustainability.
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.