Rijad Sarić

477 total citations · 1 hit paper
14 papers, 307 citations indexed

About

Rijad Sarić is a scholar working on Control and Systems Engineering, Plant Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Rijad Sarić has authored 14 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Control and Systems Engineering, 4 papers in Plant Science and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Rijad Sarić's work include Smart Agriculture and AI (3 papers), Leaf Properties and Growth Measurement (3 papers) and EEG and Brain-Computer Interfaces (2 papers). Rijad Sarić is often cited by papers focused on Smart Agriculture and AI (3 papers), Leaf Properties and Growth Measurement (3 papers) and EEG and Brain-Computer Interfaces (2 papers). Rijad Sarić collaborates with scholars based in Bosnia and Herzegovina, Australia and Germany. Rijad Sarić's co-authors include Eddie Custovic, Oliver Berkowitz, Martin Trtílek, Mathew G. Lewsey, James Whelan, Nejra Beganović, Lejla Gurbeta Pokvić, Almir Badnjević, Jasmin Kevrić and Muzafer Saračević and has published in prestigious journals such as Trends in Plant Science, Forensic Science International and Biomedical Signal Processing and Control.

In The Last Decade

Rijad Sarić

11 papers receiving 301 citations

Hit Papers

Applications of hyperspectral imaging in plant phenotyping 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rijad Sarić Bosnia and Herzegovina 6 119 86 77 46 32 14 307
Eddie Custovic Australia 10 181 1.5× 88 1.0× 79 1.0× 29 0.6× 84 2.6× 35 516
Chenghang Du China 14 98 0.8× 53 0.6× 31 0.4× 156 3.4× 80 2.5× 40 470
Patrick J. Hennessy Canada 9 132 1.1× 48 0.6× 37 0.5× 42 0.9× 83 2.6× 15 294
Wesley Banks United States 3 278 2.3× 61 0.7× 90 1.2× 16 0.3× 43 1.3× 4 363
Muhammad Asad United Kingdom 10 159 1.3× 37 0.4× 57 0.7× 203 4.4× 10 0.3× 28 505
Linh T. Duong Vietnam 9 76 0.6× 30 0.3× 12 0.2× 33 0.7× 51 1.6× 16 402
Reggio N. Hartono Indonesia 6 78 0.7× 15 0.2× 49 0.6× 76 1.7× 13 0.4× 9 279
Ronaldo Martins da Costa Brazil 11 47 0.4× 33 0.4× 24 0.3× 44 1.0× 17 0.5× 40 306
Valeria Tomaselli Italy 10 160 1.3× 45 0.5× 25 0.3× 20 0.4× 6 0.2× 30 321

Countries citing papers authored by Rijad Sarić

Since Specialization
Citations

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

Fields of papers citing papers by Rijad Sarić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rijad Sarić

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

All Works

14 of 14 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.
3.
Sarić, Rijad, Eddie Custovic, Martin Trtílek, et al.. (2024). Advanced Analysis of Arabidopsis thaliana Leaf Traits Using RGB Imaging and Machine Learning. 1–7.
4.
Sarić, Rijad, Oliver Berkowitz, Martin Trtílek, et al.. (2022). Applications of hyperspectral imaging in plant phenotyping. Trends in Plant Science. 27(3). 301–315. 145 indexed citations breakdown →
5.
Sarić, Rijad, et al.. (2022). Dental age assessment based on CBCT images using machine learning algorithms. Forensic Science International. 334. 111245–111245. 16 indexed citations
6.
Sarić, Rijad, et al.. (2022). Towards efficient implementation of MLP-ANN classifier on the FPGA-based embedded system. IFAC-PapersOnLine. 55(4). 207–212. 4 indexed citations
7.
Sarić, Rijad, et al.. (2022). Design of ASIC and FPGA system with Supervised Machine Learning Algorithms for Solar Particle Event Hourly Prediction. IFAC-PapersOnLine. 55(4). 230–235. 2 indexed citations
8.
Sarić, Rijad, Oliver Berkowitz, Martin Trtílek, et al.. (2021). Noninvasive imaging technologies in plant phenotyping. Trends in Plant Science. 27(3). 316–317. 37 indexed citations
9.
Sarić, Rijad, et al.. (2021). Classification of Space Particle Events using Supervised Machine Learning Algorithms. 4304. 1–10. 1 indexed citations
10.
Sarić, Rijad, et al.. (2021). FPGA-based Implementation of IIR Filter for Real-Time Noise Reduction in Signal. 3(1). 1 indexed citations
11.
Sarić, Rijad, et al.. (2020). FPGA-based real-time epileptic seizure classification using Artificial Neural Network. Biomedical Signal Processing and Control. 62. 102106–102106. 88 indexed citations
12.
13.
14.
Sarić, Rijad, et al.. (2019). Experimental Parametric Identification in Closed-Loop Feedback using Novel Approach to the Linear Control Systems. IFAC-PapersOnLine. 52(27). 13–18. 6 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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