Amila Akagić

509 total citations
36 papers, 334 citations indexed

About

Amila Akagić is a scholar working on Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality and Artificial Intelligence. According to data from OpenAlex, Amila Akagić has authored 36 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 8 papers in Safety, Risk, Reliability and Quality and 8 papers in Artificial Intelligence. Recurrent topics in Amila Akagić's work include Fire Detection and Safety Systems (8 papers), Video Surveillance and Tracking Methods (7 papers) and Fire dynamics and safety research (5 papers). Amila Akagić is often cited by papers focused on Fire Detection and Safety Systems (8 papers), Video Surveillance and Tracking Methods (7 papers) and Fire dynamics and safety research (5 papers). Amila Akagić collaborates with scholars based in Bosnia and Herzegovina, Japan and Austria. Amila Akagić's co-authors include Emir Buza, Samir Omanović, Almir Karabegović, Hideharu Amano, Izudin Džafić, Jasmin Velagić, Marko Horvat, Rijad Sarić, Eddie Custovic and Mahdi Bohlouli and has published in prestigious journals such as IEEE Access, Applied Sciences and Engineering Applications of Artificial Intelligence.

In The Last Decade

Amila Akagić

28 papers receiving 325 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amila Akagić Bosnia and Herzegovina 9 134 105 69 37 34 36 334
Yimin Wu China 8 90 0.7× 156 1.5× 57 0.8× 7 0.2× 60 1.8× 33 350
Huy Xuan Pham Denmark 10 50 0.4× 153 1.5× 45 0.7× 21 0.6× 42 1.2× 14 312
Houda Harkat Morocco 9 25 0.2× 89 0.8× 77 1.1× 37 1.0× 19 0.6× 21 277
Zhongsheng Wang China 10 59 0.4× 47 0.4× 27 0.4× 5 0.1× 28 0.8× 82 312
Kathiravan Thangavel United Arab Emirates 10 16 0.1× 35 0.3× 59 0.9× 53 1.4× 43 1.3× 29 363
Prashant Goswami Sweden 10 32 0.2× 100 1.0× 10 0.1× 17 0.5× 41 1.2× 22 425
Yichao Cao China 12 16 0.1× 236 2.2× 247 3.6× 105 2.8× 42 1.2× 45 434
Xiaohong Qian China 12 42 0.3× 300 2.9× 8 0.1× 7 0.2× 42 1.2× 25 407
Jae Pil Hwang South Korea 8 22 0.2× 98 0.9× 12 0.2× 9 0.2× 151 4.4× 12 333

Countries citing papers authored by Amila Akagić

Since Specialization
Citations

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

Fields of papers citing papers by Amila Akagić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amila Akagić

This figure shows the co-authorship network connecting the top 25 collaborators of Amila Akagić. A scholar is included among the top collaborators of Amila Akagić 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 Amila Akagić. Amila Akagić 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
1.
Akagić, Amila, Rijad Sarić, Emir Buza, et al.. (2024). Rosette Plant Centre Detection and Tracking Using YOLO: An Efficient Deep Learning Approach. 1–6.
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Akagić, Amila, et al.. (2024). Brain Tumor Segmentation of MRI Images with U-Net and DeepLabV3+. 1–6. 3 indexed citations
4.
Sarić, Rijad, Eddie Custovic, Martin Trtílek, et al.. (2024). Advanced Analysis of Arabidopsis thaliana Leaf Traits Using RGB Imaging and Machine Learning. 1–7.
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Akagić, Amila & Izudin Džafić. (2023). Enhancing smart grid resilience with deep learning anomaly detection prior to state estimation. Engineering Applications of Artificial Intelligence. 127. 107368–107368. 9 indexed citations
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Akagić, Amila & Emir Buza. (2022). LW-FIRE: A Lightweight Wildfire Image Classification with a Deep Convolutional Neural Network. Applied Sciences. 12(5). 2646–2646. 21 indexed citations
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Buza, Emir, et al.. (2022). Comparative analysis of simple rules for flame recognition. 1–4. 1 indexed citations
10.
Akagić, Amila, et al.. (2020). Single Object Trackers in OpenCV: A Benchmark. 1–6. 16 indexed citations
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Akagić, Amila, et al.. (2019). Forest Fire Detection based on Color Spaces Combination. 595–599. 24 indexed citations
14.
Buza, Emir, Amila Akagić, & Samir Omanović. (2017). Skin detection based on image color segmentation with histogram and K-means clustering. International Conference on Electrical and Electronics Engineering. 13 indexed citations
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Akagić, Amila & Hideharu Amano. (2013). Design and Implementation of IP-based iSCSI Offload Engine on an FPGA. 6(0). 112–121. 1 indexed citations
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Akagić, Amila & Hideharu Amano. (2013). High-Speed Fully-Adaptable CRC Accelerators. IEICE Transactions on Information and Systems. E96.D(6). 1299–1308. 4 indexed citations
18.
Akagić, Amila & Hideharu Amano. (2012). Performance analysis of fully-adaptable CRC accelerators on an FPGA. 575–578. 4 indexed citations
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Akagić, Amila & Hideharu Amano. (2011). Performance evaluation of multiple lookup tables algorithms for generating CRC on an FPGA. 110. 164–169. 4 indexed citations
20.
Akagić, Amila & Hideharu Amano. (2010). An FPGA Implementation of CRC Slicing-by-N algorithms. IEICE Technical Report; IEICE Tech. Rep.. 110(319). 19–24. 3 indexed citations

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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