Mario Kovač

733 citations
52 papers · 314 · h-index 9

Impact in

    • Digital Filter Design and Implementation
    • Video Coding and Compression Technologies
    • Parallel Computing and Optimization Techniques
    • Embedded Systems Design Techniques

Papers in

Mario Kovač

45 papers receiving 298 citations

Peers

Mario Kovač
Comparison fields: 5 of 70
  • Signal Processing 91
  • Hardware and Architecture 55
  • Computer Vision and Pattern Recognition 126
  • Architecture 5
  • Computer Networks and Communications 54
Replace Paolo Gubian with:
Paolo Gubian Italy
Hussein Al-Bahadili Jordan
Quazi Mamun Australia
Michael LeMay United States
Sukriti Bhattacharya India
Olaf Henniger Germany
Raju Pandey United States
Seoksoo Kim South Korea
Kaspar Schleiser Germany
Jaehyun Hwang South Korea
Mario Kovač relative to Paolo Gubian Italy Paolo Gubian's profile →
Citations per field
00.5×9.8×
Paolo Gubian · 1×
Citations per year

Countries citing papers authored by Mario Kovač

Since Specialization
Citations

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

Fields of papers citing papers by Mario Kovač

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mario Kovač, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mario Kovač Line = papers co-authored together Mario Kovač links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199582
2 199324
3 201420
4 202419
5 200412
6 202411
7 202411
8 200610
9 20179
10 20247
11 19987
12
Application of novel lossless compression of medical images using prediction and contextual error modeling.
20077
13
FRAMEWORK FOR 4D MEDICAL DATA COMPRESSION
20126
14 20205
15 20025
16 20155
17 20165
18 20024
19 19964
20 20074

About Mario Kovač

Mario Kovač is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications, having authored 52 papers that have together received 314 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (16 papers), Parallel Computing and Optimization Techniques (10 papers), Video Coding and Compression Technologies (8 papers), Coding theory and cryptography (5 papers), Digital Filter Design and Implementation (5 papers), Image and Video Quality Assessment (5 papers), Cryptography and Residue Arithmetic (4 papers) and Embedded Systems Design Techniques (4 papers). The work is most often cited by research in Signal Processing (91 citations), Hardware and Architecture (55 citations), Computer Vision and Pattern Recognition (126 citations), Architecture (5 citations) and Computer Networks and Communications (54 citations). Mario Kovač has collaborated with scholars based in Croatia, United States and Bosnia and Herzegovina. Frequent co-authors include N. Ranganathan, Murali Varanasi, Martin Žagar, Vesna Ocelić Bulatović, Antun Jozinović, Đurđica Ačkar, Drago Šubarić, Martina Miloloža, Dajana Kučić Grgić and Parthasarathy Ranganathan. Their work appears in journals such as Applied Sciences, Polymers, Computer, Proceedings of the IEEE and Electronics.

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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