Irena Orović

2.5k total citations
131 papers, 1.6k citations indexed

About

Irena Orović is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Signal Processing. According to data from OpenAlex, Irena Orović has authored 131 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Computer Vision and Pattern Recognition, 72 papers in Computational Mechanics and 41 papers in Signal Processing. Recurrent topics in Irena Orović's work include Sparse and Compressive Sensing Techniques (69 papers), Image and Signal Denoising Methods (60 papers) and Blind Source Separation Techniques (36 papers). Irena Orović is often cited by papers focused on Sparse and Compressive Sensing Techniques (69 papers), Image and Signal Denoising Methods (60 papers) and Blind Source Separation Techniques (36 papers). Irena Orović collaborates with scholars based in Montenegro, United States and France. Irena Orović's co-authors include Srdjan Stanković, Ljubiša Stanković, Moeness G. Amin, Ervin Sejdić, Miloš Daković, Cornel Ioana, T. Thayaparan, Miloš Brajović, Srđan Stanković and Srdjan Stanković 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

Irena Orović

123 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Irena Orović Montenegro 23 817 669 606 499 237 131 1.6k
Srdjan Stanković Montenegro 26 969 1.2× 1.1k 1.6× 690 1.1× 701 1.4× 328 1.4× 162 2.5k
Miloš Daković Montenegro 25 478 0.6× 557 0.8× 400 0.7× 447 0.9× 291 1.2× 143 2.0k
J.-J. Fuchs France 19 739 0.9× 245 0.4× 228 0.4× 658 1.3× 208 0.9× 49 1.5k
Badri Narayan Bhaskar United States 9 893 1.1× 205 0.3× 369 0.6× 671 1.3× 290 1.2× 12 1.5k
Shane F. Cotter United States 14 1.3k 1.6× 429 0.6× 443 0.7× 1.0k 2.0× 514 2.2× 24 2.1k
T.I. Laakso Finland 20 919 1.1× 631 0.9× 482 0.8× 1.6k 3.2× 764 3.2× 89 2.5k
J.H. Husøy Norway 13 703 0.9× 1.5k 2.2× 278 0.5× 445 0.9× 90 0.4× 39 2.4k
Patrick Kuppinger Switzerland 4 763 0.9× 266 0.4× 341 0.6× 380 0.8× 266 1.1× 6 1.1k
Rudolf Rabenstein Germany 18 461 0.6× 323 0.5× 315 0.5× 820 1.6× 270 1.1× 141 1.2k
Silviu Ciochină Romania 26 1.8k 2.2× 242 0.4× 278 0.5× 1.7k 3.3× 297 1.3× 160 2.5k

Countries citing papers authored by Irena Orović

Since Specialization
Citations

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

Fields of papers citing papers by Irena Orović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irena Orović

This figure shows the co-authorship network connecting the top 25 collaborators of Irena Orović. A scholar is included among the top collaborators of Irena Orović 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 Irena Orović. Irena Orović 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
1.
Orović, Irena, et al.. (2025). The Cramer-Rao bound for missing samples scenario in Hermite transform domain. Digital Signal Processing. 167. 105418–105418. 2 indexed citations
2.
Ioana, Cornel, et al.. (2024). Enhancing Hopfield network performance for pattern retrieval using sparse recovery algorithm and Parzen estimator. Digital Signal Processing. 156. 104814–104814. 1 indexed citations
3.
Ioana, Cornel, et al.. (2024). Extraction of patterns from images using a model of combined frequency localization spaces. Signal Processing. 230. 109810–109810.
4.
Ioana, Cornel, et al.. (2024). An Analog-Digital Hardware for Parzen-Based Nonparametric Probability Density Estimation. IEEE Access. 12. 116226–116237. 1 indexed citations
5.
Brajović, Miloš, Irena Orović, Marko Beko, & Srdjan Stanković. (2023). Reconstruction of signals with sparse representation in optimally dilated Hermite basis. Signal Image and Video Processing. 17(6). 2789–2797. 7 indexed citations
6.
Orović, Irena, Srdjan Stanković, & Marko Beko. (2022). On the Use of Gini Coefficient for Measuring Time-Frequency Distribution Concentration and Parameters Selection. Mathematical Problems in Engineering. 2022. 1–8. 2 indexed citations
7.
Zhu, Zhiqiang, Ruiqin Ma, Irena Orović, et al.. (2021). Postharvest quality monitoring and cold chain management of fresh garlic scapes based on a wireless multi‐sensors system. Journal of Food Process Engineering. 45(1). 13 indexed citations
8.
Brajović, Miloš, Irena Orović, Miloš Daković, & Srdjan Stanković. (2017). Compressive Sensing of Sparse Signals in the Hermite Transform Basis. IEEE Transactions on Aerospace and Electronic Systems. 54(2). 950–967. 7 indexed citations
9.
Brajović, Miloš, et al.. (2017). A tool for ECG signal analysis using standard and optimized Hermite transform. 1–4. 4 indexed citations
10.
Musić, Josip, et al.. (2016). Gradient Compressive Sensing for Image Data Reduction in UAV Based Search and Rescue in the Wild. Mathematical Problems in Engineering. 2016. 1–14. 12 indexed citations
11.
Brajović, Miloš, Irena Orović, & Srdjan Stanković. (2016). The Optimization of the Hermite transform: Application perspectives and 2D generalization. 1–4. 4 indexed citations
12.
Brajović, Miloš, et al.. (2015). A software tool for compressive sensing based time-frequency analysis. 45–48. 3 indexed citations
13.
Orović, Irena & Srdjan Stanković. (2013). Combined compressive sampling and image watermarking. International Symposium ELMAR. 41–44. 6 indexed citations
14.
Orović, Irena, et al.. (2013). An analysis of quantization influence on optimal detection of multiplicative watermark. International Symposium ELMAR. 45–48. 1 indexed citations
15.
Saulig, Nicoletta, Victor Sucic, Srdjan Stanković, Irena Orović, & B. Boashash. (2012). Signal content estimation based on the short-term time-frequency Rényi entropy of the S-method time-frequency distribution. Queensland's institutional digital repository (The University of Queensland). 354–357. 3 indexed citations
16.
Orović, Irena, et al.. (2012). Time-frequency based analysis of wireless signals. 92–95. 3 indexed citations
17.
Orović, Irena, et al.. (2011). Analysis of Power Consumption in OFDM Systems. International Convention on Information and Communication Technology, Electronics and Microelectronics. 1(4). 477–489. 5 indexed citations
18.
Orović, Irena, Srdjan Stanković, Bijan G. Mobasseri, & Marie Chabert. (2011). A robust image watermarking procedure by using the Hermite projection method. 89–92. 1 indexed citations
19.
Stanković, Srđan, et al.. (2010). Two dimensional time-frequency analysis based eigenvalue decomposition applied to image watermarking. Multimedia Tools and Applications. 49(3). 529–543. 13 indexed citations
20.
Orović, Irena, et al.. (2008). Space/spatial-frequency based image watermarking. International Symposium ELMAR. 1. 101–104. 2 indexed citations

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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