Victor Sucic

831 total citations
65 papers, 648 citations indexed

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 65 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 28 papers in Control and Systems Engineering and 26 papers in Signal Processing. Recurrent topics in Victor Sucic's work include Image and Signal Denoising Methods (35 papers), Machine Fault Diagnosis Techniques (27 papers) and Blind Source Separation Techniques (25 papers). Victor Sucic is often cited by papers focused on Image and Signal Denoising Methods (35 papers), Machine Fault Diagnosis Techniques (27 papers) and Blind Source Separation Techniques (25 papers). Victor Sucic collaborates with scholars based in Croatia, Australia and Qatar. Victor Sucic's co-authors include Jonatan Lerga, B. Boashash, Nicoletta Saulig, Damir Seršić, Irena Orović, Srdjan Stanković, Zlatan Car, Nelly Pustelnik, Patrick Flandrin and Pierre Borgnat and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Victor Sucic

59 papers receiving 621 citations

Peers

Victor Sucic
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 272
  • Signal Processing 260
  • Control and Systems Engineering 232
  • Computational Mechanics 107
  • Electrical and Electronic Engineering 84
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Citations per field, relative to Victor Sucic
Victor Sucic · 1×
Citations per year, relative to Victor Sucic
Victor Sucic · 1×

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).

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.

Co-authorship network of co-authors of Victor Sucic

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 3
3 0
4 7
5 4
6
REMOTE LABORATORIES IN ENGINEERING EDUCATION: AUTOMATION SYSTEM DESIGN
1
7 1
8
Signal content estimation based on the short-term time-frequency Rényi entropy of the S-method time-frequency distribution
3
9
AN ADAPTIVE METHOD FOR VIDEO DENOISING BASED ON THE ICI RULE
6
10
Detecting the number of components in a non-stationary signal using the Rényi entropy of its time-frequency distributions
0
11
Nonstationary signals information content estimation based on the local Rényi entropy in the time-frequency domain
4
12
Remote laboratory for microcontroller systems design
6
13 78
14
Image denoising based on the one-dimensional LPA-RICI method
1
15
SIGNAL REPRESENTATION QUALITY ENHANCEMENT BY APPLYING MATHEMATICAL OPERATIONS TO TIME-FREQUENCY DISTRIBUTIONS
2
16 2
17 44
18 8
19
Osnove elektrotehnike II
0
20 2

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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