Mirko Sužnjević

84 total papers · 1.3k total citations
59 papers, 802 citations indexed

About

Mirko Sužnjević is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Mirko Sužnjević has authored 59 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 25 papers in Computer Networks and Communications and 23 papers in Sociology and Political Science. Recurrent topics in Mirko Sužnjević's work include Image and Video Quality Assessment (28 papers), Peer-to-Peer Network Technologies (19 papers) and Digital Games and Media (16 papers). Mirko Sužnjević is often cited by papers focused on Image and Video Quality Assessment (28 papers), Peer-to-Peer Network Technologies (19 papers) and Digital Games and Media (16 papers). Mirko Sužnjević collaborates with scholars based in Croatia, Spain and Germany. Mirko Sužnjević's co-authors include Lea Skorin‐Kapov, Maja Matijašević, Dario Pevec, Ognjen Dobrijević, José Saldaña, Sebastian Möller, Manuel Urueña, Jan‐Niklas Voigt-Antons, José Alberto Hernández and Sebastian Egger and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and Multimedia Tools and Applications.

In The Last Decade

Mirko Sužnjević

58 papers receiving 768 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mirko Sužnjević 429 352 226 173 126 59 802
Maja Matijašević 302 0.7× 441 1.3× 214 0.9× 69 0.4× 75 0.6× 78 862
Jack Jansen 512 1.2× 340 1.0× 472 2.1× 173 1.0× 115 0.9× 85 963
Kuan‐Ta Chen 487 1.1× 253 0.7× 160 0.7× 79 0.5× 147 1.2× 30 843
Olof Hagsand 245 0.6× 336 1.0× 121 0.5× 224 1.3× 69 0.5× 31 737
Wim Lamotte 297 0.7× 424 1.2× 193 0.9× 78 0.5× 237 1.9× 104 946
Peter Quax 258 0.6× 376 1.1× 176 0.8× 64 0.4× 225 1.8× 76 845
Chandra Narayanaswami 201 0.5× 261 0.7× 120 0.5× 181 1.0× 96 0.8× 41 800
Daphne Economou 222 0.5× 293 0.8× 176 0.8× 229 1.3× 66 0.5× 60 1.0k
Wanmin Wu 600 1.4× 217 0.6× 217 1.0× 173 1.0× 32 0.3× 48 883
Dave Snowdon 311 0.7× 163 0.5× 162 0.7× 525 3.0× 106 0.8× 31 1.0k

Countries citing papers authored by Mirko Sužnjević

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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