Victor Sucic

35 papers and 472 indexed citations i.

About

Victor Sucic is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Signal Processing. According to data from OpenAlex, Victor Sucic has authored 35 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 13 papers in Control and Systems Engineering and 13 papers in Signal Processing. Recurrent topics in Victor Sucic’s work include Image and Signal Denoising Methods (21 papers), Machine Fault Diagnosis Techniques (12 papers) and Blind Source Separation Techniques (12 papers). Victor Sucic is often cited by papers focused on Image and Signal Denoising Methods (21 papers), Machine Fault Diagnosis Techniques (12 papers) and Blind Source Separation Techniques (12 papers). Victor Sucic collaborates with scholars based in Croatia, Australia and Qatar. Victor Sucic's co-authors include Jonatan Lerga, B. Boashash, Irena Orović, Srdjan Stanković, John M. O’Toole, Heidi Anderson Kuzma, Zlatan Car, Götz Bokelmann and Srdjan Stanković and has published in prestigious journals such as IEEE Transactions on Image Processing, The Journal of the Acoustical Society of America and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Victor Sucic i

Fields of papers citing papers by Victor Sucic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Victor Sucic

Since Specialization
Citations

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

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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