Ivica Kopriva

81 papers and 1.0k indexed citations i.

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 81 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Signal Processing, 34 papers in Computer Vision and Pattern Recognition and 28 papers in Analytical Chemistry. Recurrent topics in Ivica Kopriva’s work include Blind Source Separation Techniques (43 papers), Spectroscopy and Chemometric Analyses (28 papers) and Image and Signal Denoising Methods (17 papers). Ivica Kopriva is often cited by papers focused on Blind Source Separation Techniques (43 papers), Spectroscopy and Chemometric Analyses (28 papers) and Image and Signal Denoising Methods (17 papers). Ivica Kopriva collaborates with scholars based in Croatia, United States and China. Ivica Kopriva's co-authors include Maria Brbić, Qian Du, Harold Szu, Xinjian Chen, Ivanka Jerić, Vojislav Kecman, Dehui Xiang, Nino Antulov-Fantulin, Bin Zhang and Lirong Wang and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Ivica Kopriva i

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.

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).

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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