Irena Galić

103 total papers · 817 total citations
52 papers, 420 citations indexed

About

Irena Galić is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Irena Galić has authored 52 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 11 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Cognitive Neuroscience. Recurrent topics in Irena Galić's work include Medical Image Segmentation Techniques (11 papers), Advanced Neural Network Applications (8 papers) and AI in cancer detection (7 papers). Irena Galić is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), Advanced Neural Network Applications (8 papers) and AI in cancer detection (7 papers). Irena Galić collaborates with scholars based in Croatia, Belgium and Serbia. Irena Galić's co-authors include Marija Habijan, Danilo Babin, Aleksandra Pižurica, Martin Welk, Joachim Weickert, Alexander Belyaev, Hans‐Peter Seidel, Andrés Bruhn, Lazar Velicki and Vladimir Zlokolica and has published in prestigious journals such as IEEE Access, Sensors and Applied Sciences.

In The Last Decade

Irena Galić

47 papers receiving 402 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Irena Galić 195 138 103 64 47 52 420
Zhi Lu 174 0.9× 75 0.5× 75 0.7× 67 1.0× 18 0.4× 27 410
L. Jani Anbarasi 203 1.0× 156 1.1× 160 1.6× 24 0.4× 9 0.2× 86 479
Ken’ichi Morooka 172 0.9× 69 0.5× 40 0.4× 74 1.2× 14 0.3× 53 400
Feng Chen 243 1.2× 125 0.9× 110 1.1× 84 1.3× 9 0.2× 48 482
Xufeng Yao 188 1.0× 91 0.7× 170 1.7× 24 0.4× 9 0.2× 45 418
Jiajia Li 161 0.8× 69 0.5× 115 1.1× 24 0.4× 12 0.3× 35 463
Osama A. Omer 158 0.8× 101 0.7× 120 1.2× 90 1.4× 60 1.3× 74 483
Abhirup Banerjee 132 0.7× 200 1.4× 110 1.1× 46 0.7× 92 2.0× 50 457
Praveen Sankaran 287 1.5× 80 0.6× 123 1.2× 33 0.5× 29 0.6× 39 450
Fuli Wu 71 0.4× 77 0.6× 47 0.5× 81 1.3× 70 1.5× 36 388

Countries citing papers authored by Irena Galić

Since Specialization
Citations

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

Fields of papers citing papers by Irena Galić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irena Galić

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

All Works

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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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