Krešimir Delač

43 total papers · 2.0k total citations
27 papers, 1.2k citations indexed

About

Krešimir Delač is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Krešimir Delač has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Krešimir Delač's work include Face and Expression Recognition (10 papers), AI in cancer detection (7 papers) and Biometric Identification and Security (6 papers). Krešimir Delač is often cited by papers focused on Face and Expression Recognition (10 papers), AI in cancer detection (7 papers) and Biometric Identification and Security (6 papers). Krešimir Delač collaborates with scholars based in Croatia, United Kingdom and Germany. Krešimir Delač's co-authors include Mislav Grgić, Sonja Grgić, Mario Muštra, Tomislav Kos, Marian Stewart Bartlett, M. Ghanbari, Panos Liatsis, Jelena Božek and Marta Mrak and has published in prestigious journals such as Image and Vision Computing, Multimedia Tools and Applications and International Journal of Imaging Systems and Technology.

In The Last Decade

Krešimir Delač

26 papers receiving 1.1k citations

Hit Papers

SCface – surveillance cam... 2009 2026 2014 2020 2009 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Krešimir Delač 856 477 202 160 103 27 1.2k
Zhaoqiang Xia 962 1.1× 484 1.0× 313 1.5× 170 1.1× 72 0.7× 92 1.4k
Feng Li 645 0.8× 181 0.4× 260 1.3× 132 0.8× 157 1.5× 54 1.2k
Haim Levkowitz 789 0.9× 213 0.4× 313 1.5× 81 0.5× 51 0.5× 52 1.2k
Ahmed Sedik 402 0.5× 136 0.3× 288 1.4× 104 0.7× 100 1.0× 56 1.0k
G. Kokkinakis 535 0.6× 349 0.7× 692 3.4× 109 0.7× 151 1.5× 65 1.3k
Jia Guo 1.0k 1.2× 330 0.7× 248 1.2× 57 0.4× 36 0.3× 56 1.5k
Imran Qureshi 439 0.5× 251 0.5× 156 0.8× 88 0.6× 54 0.5× 40 1.1k
Mohammad Haghighat 852 1.0× 248 0.5× 137 0.7× 100 0.6× 675 6.6× 18 1.4k
C. Dorai 1.1k 1.3× 391 0.8× 94 0.5× 46 0.3× 30 0.3× 45 1.4k
Yingbo Zhou 555 0.6× 877 1.8× 257 1.3× 239 1.5× 62 0.6× 54 1.2k

Countries citing papers authored by Krešimir Delač

Since Specialization
Citations

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

Fields of papers citing papers by Krešimir Delač

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krešimir Delač

This figure shows the co-authorship network connecting the top 25 collaborators of Krešimir Delač. A scholar is included among the top collaborators of Krešimir Delač 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 Krešimir Delač. Krešimir Delač 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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