Mario Vranješ

576 total citations
70 papers, 400 citations indexed

About

Mario Vranješ is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Automotive Engineering. According to data from OpenAlex, Mario Vranješ has authored 70 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Vision and Pattern Recognition, 17 papers in Signal Processing and 13 papers in Automotive Engineering. Recurrent topics in Mario Vranješ's work include Image and Video Quality Assessment (27 papers), Advanced Image Processing Techniques (17 papers) and Video Coding and Compression Technologies (15 papers). Mario Vranješ is often cited by papers focused on Image and Video Quality Assessment (27 papers), Advanced Image Processing Techniques (17 papers) and Video Coding and Compression Technologies (15 papers). Mario Vranješ collaborates with scholars based in Croatia and Serbia. Mario Vranješ's co-authors include Snježana Rimac-Drlje, Drago Žagar, Krešimir Grgić, Ratko Grbić, Marijan Herceg, Miroslav Popović, Dragan Samardžija, Nikola Teslić, Branislav M. Todorović and Bogdan Pavković and has published in prestigious journals such as Advanced Engineering Informatics, Multimedia Tools and Applications and IEEE Transactions on Consumer Electronics.

In The Last Decade

Mario Vranješ

63 papers receiving 371 citations

Peers

Mario Vranješ

CVPR

SP

MT

AE

EEE

Osamu Hori Japan

Vincent Charvillat France

Muhammad Zeeshan Khan Pakistan

Zhengzhong Tu United States

Haopeng Li China

Xumiao Zhang United States

Xiao Zhu United States

Songhao Zhu China

Peter Počta Slovakia

Zoran Kalafatić Croatia

Osamu Hori Japan

Mario Vranješ

487 ×1.5

CVPR

67 ×0.6

SP

48 ×0.7

MT

12 ×0.3

AE

24 ×0.7

EEE

Citations per year, relative to Mario Vranješ Mario Vranješ (= 1×) peers Osamu Hori

Countries citing papers authored by Mario Vranješ

Since Specialization

Citations

This map shows the geographic impact of Mario Vranješ'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 Mario Vranješ with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Vranješ more than expected).

Fields of papers citing papers by Mario Vranješ

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Vranješ. 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 Mario Vranješ. The network helps show where Mario Vranješ may publish in the future.

Co-authorship network of co-authors of Mario Vranješ

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Vranješ. A scholar is included among the top collaborators of Mario Vranješ 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 Mario Vranješ. Mario Vranješ is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Grbić, Ratko, et al.. (2024). Protection of CAN communication on embedded platform using symmetric encryption. 173–178.

2.

Grbić, Ratko, et al.. (2024). Tool for image annotation in context of modern object detection. 48–53.

3.

Vranješ, Mario, et al.. (2024). Creating a Surround View Algorithm with Implementation on a Real Embedded ADAS Platform. 1–6. 1 indexed citations

4.

Herceg, Marijan, et al.. (2023). Driver Monitoring System using an Embedded Computer Platform. 1–7. 1 indexed citations

5.

Grbić, Ratko, et al.. (2020). UrTra2D – Urban Traffic 2D Object Detection Dataset. 1–6. 1 indexed citations

6.

Rimac-Drlje, Snježana, et al.. (2020). Adaptive Temporal Frame Interpolation Algorithm for Frame Rate Up-Conversion. IEEE Consumer Electronics Magazine. 9(3). 17–21. 2 indexed citations

7.

Vranješ, Mario, et al.. (2019). Recent Advances in Vision-Based Lane Detection Solutions for Automotive Applications. 45–50. 12 indexed citations

8.

Vranješ, Mario, et al.. (2019). Surround view algorithm for parking assist system. 21–26. 5 indexed citations

9.

Vranješ, Mario, et al.. (2018). Client-side solution for QoS measurement of video content delivery over IP networks. 1–6. 1 indexed citations

10.

Vranješ, Mario, et al.. (2018). Video Transmission Artifacts Detection Using No-Reference Approach. 76. 72–77. 1 indexed citations

11.

Vranješ, Mario, et al.. (2017). Hybrid Electronic Program Guide Application for Digital TV Receiver. 3 indexed citations

12.

Vranješ, Mario, et al.. (2014). Influence of spatial and temporal activity of upscaled video on its perceived quality. 1–4. 1 indexed citations

13.

Vranješ, Mario, et al.. (2013). Spatial upscaling of scalable coded video for mobile applications. International Symposium ELMAR. 287–290. 2 indexed citations

14.

Vranješ, Mario, et al.. (2012). ECVQ and EVVQ video quality databases. International Symposium ELMAR. 1–5. 8 indexed citations

15.

Vranješ, Mario, et al.. (2011). Video content complexity and performance of video transmission over IP and WLAN networks. 273–276. 1 indexed citations

16.

Vranješ, Mario, et al.. (2010). The Use of NS-2 Simulator in Studying UMTS Performances. International Journal of Electrical and Computer Engineering (IJECE). 1(2). 63–71. 6 indexed citations

17.

Rimac-Drlje, Snježana, et al.. (2010). Multiview Video Coding extension of the H.264/AVC standard. 73–76. 3 indexed citations

18.

Vranješ, Mario, et al.. (2009). Influence of foveated vision on video quality perception. International Symposium ELMAR. 29–32. 1 indexed citations

19.

Rimac-Drlje, Snježana, et al.. (2008). Scalable Video Coding extension of the H.264/AVC standard. International Symposium ELMAR. 1. 9–12. 7 indexed citations

20.

Vranješ, Mario, Snježana Rimac-Drlje, & Krešimir Grgić. (2008). Locally averaged PSNR as a simple objective Video Quality Metric. International Symposium ELMAR. 1. 17–20. 15 indexed citations

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.

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