Ivica Kopriva

1.7k total citations · 1 hit paper
97 papers, 1.2k citations indexed

About

Ivica Kopriva is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Analytical Chemistry. According to data from OpenAlex, Ivica Kopriva has authored 97 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Signal Processing, 40 papers in Computer Vision and Pattern Recognition and 34 papers in Analytical Chemistry. Recurrent topics in Ivica Kopriva's work include Blind Source Separation Techniques (47 papers), Spectroscopy and Chemometric Analyses (34 papers) and Image and Signal Denoising Methods (19 papers). Ivica Kopriva is often cited by papers focused on Blind Source Separation Techniques (47 papers), Spectroscopy and Chemometric Analyses (34 papers) and Image and Signal Denoising Methods (19 papers). Ivica Kopriva collaborates with scholars based in Croatia, United States and China. Ivica Kopriva's co-authors include Maria Brbić, Harold Szu, Qian Du, Xinjian Chen, Ivanka Jerić, Andrzej Cichocki, Dehui Xiang, Vojislav Kecman, Bin Zhang and Nino Antulov-Fantulin and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ivica Kopriva

91 papers receiving 1.2k citations

Hit Papers

Multi-view low-rank sparse subspace clustering 2017 2026 2020 2023 2017 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Multi-view low-rank sparse subspace clustering
    2017 344 citations Ivica Kopriva et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivica Kopriva Croatia 13 651 306 263 260 169 97 1.2k
Luoqing Li China 23 770 1.2× 424 1.4× 506 1.9× 191 0.7× 288 1.7× 100 1.6k
Vassilios Chatzis Greece 8 794 1.2× 248 0.8× 493 1.9× 91 0.3× 48 0.3× 29 1.2k
Wen-Sheng Chen China 19 881 1.4× 196 0.6× 213 0.8× 131 0.5× 102 0.6× 88 1.2k
Yi Guo Australia 17 308 0.5× 230 0.8× 208 0.8× 66 0.3× 97 0.6× 74 804
Feiyun Zhu China 13 381 0.6× 543 1.8× 481 1.8× 33 0.1× 118 0.7× 21 1.4k
Hongqing Zhu China 18 1.1k 1.7× 151 0.5× 240 0.9× 102 0.4× 68 0.4× 104 1.5k
Tsung‐Han Chan Taiwan 19 569 0.9× 318 1.0× 1.2k 4.5× 265 1.0× 359 2.1× 50 1.8k
Xiaolin Wu Canada 24 1.9k 2.9× 186 0.6× 824 3.1× 282 1.1× 181 1.1× 121 2.3k
Rodolphe Jenatton France 14 418 0.6× 353 1.2× 81 0.3× 119 0.5× 523 3.1× 19 1.1k
Tong Lin China 17 383 0.6× 204 0.7× 91 0.3× 107 0.4× 58 0.3× 89 996

Countries citing papers authored by Ivica Kopriva

Since Specialization
Citations

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

Fields of papers citing papers by Ivica Kopriva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivica Kopriva

This figure shows the co-authorship network connecting the top 25 collaborators of Ivica Kopriva. A scholar is included among the top collaborators of Ivica Kopriva 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 Ivica Kopriva. Ivica Kopriva 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.
Kopriva, Ivica, et al.. (2023). Low tensor train and low multilinear rank approximations of 3D tensors for compression and de-speckling of optical coherence tomography images. Physics in Medicine and Biology. 68(12). 125002–125002. 3 indexed citations
2.
Kopriva, Ivica, et al.. (2019). Library-assisted nonlinear blind separation and annotation of pure components from a single 1H nuclear magnetic resonance mixture spectra. Analytica Chimica Acta. 1080. 55–65. 3 indexed citations
3.
Tian, Long, Qian Du, Ivica Kopriva, & Nicolas H. Younan. (2018). Kernel Spatial-Spectral Based Multi-View Low-Rank Sparse Sbuspace Clustering for Hyperspectral Imagery. 1–4. 5 indexed citations
4.
Jukić, Ante, Ivica Kopriva, & Andrzej Cichocki. (2013). Canonical polyadic decomposition for unsupervised linear feature extraction from protein profiles. European Signal Processing Conference. 1–5. 2 indexed citations
5.
Kopriva, Ivica, et al.. (2012). Inpainting Color Images In Learned Dictionary. INFM-OAR (INFN Catania). 66–70. 3 indexed citations
6.
7.
Kopriva, Ivica, Ante Jukić, & Andrzej Cichocki. (2011). Feature Extraction for Cancer Prediction by Tensor Decomposition of 1D Protein Expression Levels. 4 indexed citations
8.
Kopriva, Ivica, Xinjian Chen, & Jianhua Yao. (2011). Nonlinear band expansion and nonnegative matrix underapproximation for unsupervised segmentation of a liver from a multi-phase CT image. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7962. 79623A–79623A. 5 indexed citations
9.
Kopriva, Ivica, et al.. (2010). Robust demarcation of basal cell carcinoma by dependent component analysis-based segmentation of multi-spectral fluorescence images. Journal of Photochemistry and Photobiology B Biology. 100(1). 10–18. 9 indexed citations
10.
Kopriva, Ivica, et al.. (2010). 3D tensor-based blind multispectral image decomposition for tumor demarcation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7623. 76231W–76231W. 2 indexed citations
11.
Kopriva, Ivica & Andrzej Cichocki. (2009). Blind multispectral image decomposition by 3D nonnegative tensor factorization. Optics Letters. 34(14). 2210–2210. 10 indexed citations
12.
13.
Kopriva, Ivica. (2007). Blind Signal Deconvolution as an Instantaneous Blind Separation of Statistically Dependent Sources. Lecture notes in computer science. 4666. 504–511. 2 indexed citations
14.
Wasylkiwskyj, Wasyl, Ivica Kopriva, Miloš Doroslovački, & Amir I. Zaghloul. (2007). A new root‐based direction‐finding algorithm. Radio Science. 42(2). 6 indexed citations
15.
16.
Kopriva, Ivica, et al.. (2006). Independent Component Analysis for Hyperspectral Remote Sensing. Optical Engineering. 45(1). 6 indexed citations
17.
Szu, Harold, et al.. (2004). Early tumor detection by multiple infrared unsupervised neural nets fusion. 1133–1136. 12 indexed citations
18.
Kopriva, Ivica & Harold Szu. (2003). Blind inversion in nonlinear space-variant imaging using Cauchy machine. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5102. 5–5. 3 indexed citations
19.
Kopriva, Ivica, et al.. (1999). Discrimination of optical sources by use of adaptive blind source separation theory. Applied Optics. 38(7). 1115–1115. 6 indexed citations
20.
Ćosić, Krešimir, et al.. (1999). Design and implementation of a hardware-in-the-loop simulator for a semi-automatic guided missile system. Simulation Practice and Theory. 7(2). 107–123. 14 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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