Darko Stipaničev

49 papers receiving 466 citations

Peers

Darko Stipaničev
Comparison fields: 5 of 95
  • Safety, Risk, Reliability and Quality 202
  • Computer Vision and Pattern Recognition 178
  • Global and Planetary Change 100
  • Artificial Intelligence 77
  • Electrical and Electronic Engineering 56
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Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 5
4 2
5
Comparison of cogent confabulation based classifier and Naive Bayes classifier in the detection of lens flares in wildfire smoke detection
2
6 15
7 14
8
Context-based natural image parsing: A critical survey
1
9
Fuzzy Cognitive Map for decision support in image post-processing
4
10
Review of wildfire smoke detection techniques based on visible spectrum video analysis
10
11 88
12
The Accident of Kornati (Croatia)
2
13
Integration of forest fire video monitoring system and Geographic Information System
4
14
Agent Based Intelligent Forest Fire Monitoring System
4
15 69
16 13
17 1
18
AGENT BASED METHODOLOGIES IN DISTRIBUTED CONTROL
1
19 2
20 46

About Darko Stipaničev

Darko Stipaničev is a scholar working on Safety, Risk, Reliability and Quality, Computer Vision and Pattern Recognition and Global and Planetary Change, having authored 56 papers that have together received 509 indexed citations. Recurring topics across this work include Fire Detection and Safety Systems (14 papers), Fire effects on ecosystems (13 papers) and Video Surveillance and Tracking Methods (8 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (202 citations), Computer Vision and Pattern Recognition (178 citations) and Global and Planetary Change (100 citations). Darko Stipaničev has collaborated with scholars based in Croatia, United Kingdom and Austria. Frequent co-authors include Damir Krstinić, Maja Štula, Ljiljana Šerić, Petra Cvjetko, Mirjana Pavlica, Saša Radić, Branka Pevalek‐Kozlina, Siniša Širac, D. X. Viegas and Luís Mário Ribeiro. Their work appears in journals such as Ecotoxicology and Environmental Safety, Information Fusion and Computer Vision and Image Understanding.

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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