Darko Stipaničev

109 total papers · 722 total citations
56 papers, 508 citations indexed

About

Darko Stipaničev is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Artificial Intelligence. According to data from OpenAlex, Darko Stipaničev has authored 56 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 16 papers in Safety, Risk, Reliability and Quality and 15 papers in Artificial Intelligence. Recurrent topics in Darko Stipaničev's work include Fire Detection and Safety Systems (14 papers), Fire effects on ecosystems (13 papers) and Video Surveillance and Tracking Methods (8 papers). Darko Stipaničev is often cited by papers focused on Fire Detection and Safety Systems (14 papers), Fire effects on ecosystems (13 papers) and Video Surveillance and Tracking Methods (8 papers). Darko Stipaničev collaborates with scholars based in Croatia, United Kingdom and Austria. Darko Stipaničev's co-authors include Damir Krstinić, Maja Štula, Ljiljana Šerić, Mirjana Pavlica, Saša Radić, Petra Cvjetko, Siniša Širac, Branka Pevalek‐Kozlina, D. X. Viegas and Carlos G. Rossa and has published in prestigious journals such as Ecotoxicology and Environmental Safety, Information Fusion and Computer Vision and Image Understanding.

In The Last Decade

Darko Stipaničev

49 papers receiving 465 citations

Author Peers

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

Author Last Decade Papers Cites
Darko Stipaničev 200 179 101 77 56 56 508
Di Bai 97 0.5× 129 0.7× 58 0.6× 43 0.6× 67 1.2× 37 581
Xubing Yang 95 0.5× 208 1.2× 91 0.9× 122 1.6× 19 0.3× 44 572
Konstantinos Ioannidis 41 0.2× 159 0.9× 45 0.4× 54 0.7× 16 0.3× 31 543
Ruyan Zhou 31 0.2× 203 1.1× 53 0.5× 33 0.4× 55 1.0× 53 526
George E. Sakr 48 0.2× 82 0.5× 106 1.0× 90 1.2× 42 0.8× 22 465
Mengran Zhou 62 0.3× 56 0.3× 19 0.2× 119 1.5× 162 2.9× 77 609
Mahady Hasan 21 0.1× 51 0.3× 17 0.2× 74 1.0× 59 1.1× 103 583
Zhuang Zhou 77 0.4× 238 1.3× 23 0.2× 35 0.5× 72 1.3× 35 478
Ciyun Lin 83 0.4× 98 0.5× 19 0.2× 44 0.6× 25 0.4× 69 603
Feng Hu 39 0.2× 79 0.4× 11 0.1× 116 1.5× 81 1.4× 50 502

Countries citing papers authored by Darko Stipaničev

Since Specialization
Citations

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

Fields of papers citing papers by Darko Stipaničev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darko Stipaničev

This figure shows the co-authorship network connecting the top 25 collaborators of Darko Stipaničev. A scholar is included among the top collaborators of Darko Stipaničev 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 Darko Stipaničev. Darko Stipaničev 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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2026