Veselin N. Ivanović

682 citations
48 papers · 448 indexed · h-index 14
Topics
Image and Signal Denoising Methods (20 papers)Advanced Adaptive Filtering Techniques (19 papers)Advanced Electrical Measurement Techniques (14 papers)
Partner nations
MontenegroCanadaGermany

In The Last Decade

Veselin N. Ivanović

41 papers receiving 436 citations

Peers

Veselin N. Ivanović
Comparison fields: 5 of 39
  • Signal Processing 216
  • Computer Vision and Pattern Recognition 193
  • Control and Systems Engineering 192
  • Computational Mechanics 125
  • Electrical and Electronic Engineering 109
Replace Muhammad Z. Ikram with:
Muhammad Z. Ikram United States
Tony Gustafsson Sweden
J.-H. Lee Taiwan
J. Schroeder United States
Djamel Chikouche Algeria
S. Tressens Argentina
Xizhang Wei China
Feng‐Gang Yan China
Markus V. S. Lima Brazil
Ali Koochakzadeh United States
Veselin N. Ivanović relative to Muhammad Z. Ikram United States Muhammad Z. Ikram's profile →
Citations per field
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Citations per year

Countries citing papers authored by Veselin N. Ivanović

Since Specialization
Citations

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

Fields of papers citing papers by Veselin N. Ivanović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Veselin N. Ivanović. 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 Veselin N. Ivanović. The network helps show where Veselin N. Ivanović may publish in the future.

Co-authorship network of co-authors of Veselin N. Ivanović

This figure shows the co-authorship network connecting the top 25 collaborators of Veselin N. Ivanović. A scholar is included among the top collaborators of Veselin N. Ivanović 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 Veselin N. Ivanović. Veselin N. Ivanović 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
#WorkIndexed citations
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On the sliding matrix function based Wiener filter for highly nonstationary two-dimensional FM signal estimation
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14 11
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19 35
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About Veselin N. Ivanović

Veselin N. Ivanović is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 48 papers that have together received 448 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (20 papers), Advanced Adaptive Filtering Techniques (19 papers) and Advanced Electrical Measurement Techniques (14 papers). The work is most often cited by research in Signal Processing (216 citations), Computer Vision and Pattern Recognition (193 citations) and Control and Systems Engineering (192 citations). Veselin N. Ivanović has collaborated with scholars based in Montenegro, Canada and Germany. Frequent co-authors include Ljubiša Stanković, Miloš Daković, Radovan Stojanović, Igor Djurović, Srdjan Stanković, Dusan Petranovic, Marko Simeunović, Ervin Sejdić and Srdjan Stanković. Their work appears in journals such as IEEE Transactions on Signal Processing, Electronics Letters and Signal Processing.

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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