Mirko Sužnjević
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 5%
- Sociology and Political Science top 10%
- Human-Computer Interaction top 2%
- Artificial Intelligence top 10%
- Co-authors
- Lea Skorin‐KapovMaja MatijaševićDario PevecOgnjen DobrijevićJosé SaldañaSebastian MöllerJosé Alberto HernándezJan‐Niklas Voigt-Antons
- Topics
- Image and Video Quality Assessment (28 papers)Peer-to-Peer Network Technologies (19 papers)Digital Games and Media (16 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaApplied SciencesMultimedia Tools and Applications
In The Last Decade
Mirko Sužnjević
59 papers receiving 778 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 431
- Computer Networks and Communications 355
- Sociology and Political Science 227
- Human-Computer Interaction 177
- Artificial Intelligence 126
Countries citing papers authored by Mirko Sužnjević
This map shows the geographic impact of Mirko Sužnjević'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 Mirko Sužnjević with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirko Sužnjević more than expected).
Fields of papers citing papers by Mirko Sužnjević
This network shows the impact of papers produced by Mirko Sužnjević. 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 Mirko Sužnjević. The network helps show where Mirko Sužnjević may publish in the future.
Co-authorship network of co-authors of Mirko Sužnjević
This figure shows the co-authorship network connecting the top 25 collaborators of Mirko Sužnjević. A scholar is included among the top collaborators of Mirko Sužnjević 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 Mirko Sužnjević. Mirko Sužnjević is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 6 | |
| 7 | 19 | |
| 8 | In-Network QoE and KPI Monitoring of Mobile YouTube Traffic: Insights for Encrypted iOS Flows | 9 |
| 9 | 35 | |
| 10 | 28 | |
| 11 | 20 | |
| 12 | 13 | |
| 13 | 17 | |
| 14 | 15 | |
| 15 | Improving distributed traffic generation performance by using IMUNES network emulator | 2 |
| 16 | Monitoring and analysis of player behavior in world of warcraft | 1 |
| 17 | 20 | |
| 18 | 24 | |
| 19 | 25 | |
| 20 | Measurement of SIP signaling performance for advanced multimedia services | 5 |
About Mirko Sužnjević
Mirko Sužnjević is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 60 papers that have together received 812 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (28 papers), Peer-to-Peer Network Technologies (19 papers) and Digital Games and Media (16 papers). The work is most often cited by research in Human-Computer Interaction (177 citations), Computer Vision and Pattern Recognition (431 citations) and Computer Networks and Communications (355 citations). Mirko Sužnjević has collaborated with scholars based in Croatia, Germany and Spain. Frequent co-authors include Lea Skorin‐Kapov, Maja Matijašević, Dario Pevec, Ognjen Dobrijević, José Saldaña, Sebastian Möller, José Alberto Hernández, Jan‐Niklas Voigt-Antons, Eusebi Calle and Elena Núñez Castellar. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Sciences and Multimedia Tools and Applications.
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.