Samed Jukić

433 total citations
13 papers, 287 citations indexed

About

Samed Jukić is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Samed Jukić has authored 13 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Cognitive Neuroscience and 4 papers in Signal Processing. Recurrent topics in Samed Jukić's work include EEG and Brain-Computer Interfaces (4 papers), Blind Source Separation Techniques (3 papers) and Network Security and Intrusion Detection (3 papers). Samed Jukić is often cited by papers focused on EEG and Brain-Computer Interfaces (4 papers), Blind Source Separation Techniques (3 papers) and Network Security and Intrusion Detection (3 papers). Samed Jukić collaborates with scholars based in Bosnia and Herzegovina, Saudi Arabia and Serbia. Samed Jukić's co-authors include Jasmin Kevrić, Abdülhamit Subaşı, Muzafer Saračević and Zerina Mašetić and has published in prestigious journals such as Neural Computing and Applications, Measurement and Mathematics.

In The Last Decade

Samed Jukić

11 papers receiving 271 citations

Peers

Samed Jukić

AI

CNC

SP

CN

IS

M. Premkumar India

Sadaqat Ur Rehman United Kingdom

Rajashri Khanai India

Manoj Madhava Gore India

Saadullah Farooq Abbasi United Kingdom

Amanullah Yasin Pakistan

John Burge United States

Luping Liu China

Harsh Gupta India

M. Premkumar India

Samed Jukić

100 ×0.6

AI

127 ×0.9

CNC

92 ×0.8

SP

95 ×1.6

CN

14 ×0.6

IS

Citations per year, relative to Samed Jukić Samed Jukić (= 1×) peers M. Premkumar

Countries citing papers authored by Samed Jukić

Since Specialization

Citations

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

Fields of papers citing papers by Samed Jukić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samed Jukić

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

All Works

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13 of 13 papers shown

1.

Kevrić, Jasmin, et al.. (2024). Predictive Analysis of Student Enrollment on a Faculty Base on Innovation Research. 1–5.

2.

Jukić, Samed, et al.. (2023). Application of Business Intelligence in Decision Making for Credit Card Approval. Journal of Intelligence Studies in Business. 12(2). 54–64. 3 indexed citations

3.

Jukić, Samed, et al.. (2023). Brain Tumor Detection and Classification Using VGG16 Deep Learning Algorithm and Python Imaging Library. 4(2). 1–13. 4 indexed citations

4.

Kevrić, Jasmin, et al.. (2021). Deep Learning-Based Studies on Pediatric Brain Tumors Imaging: Narrative Review of Techniques and Challenges. Brain Sciences. 11(6). 716–716. 19 indexed citations

5.

Jukić, Samed, et al.. (2021). Sentiment Analysis on Twitter Data using Big Data. 3(1). 3 indexed citations

6.

Kevrić, Jasmin, et al.. (2021). Feature selection using cloud-based parallel genetic algorithm for intrusion detection data classification. Neural Computing and Applications. 33(18). 11861–11873. 19 indexed citations

7.

Jukić, Samed, et al.. (2020). Handwriting digit recognition using Decision Tree Classifiers. 2(1).

8.

Jukić, Samed, Muzafer Saračević, Abdülhamit Subaşı, & Jasmin Kevrić. (2020). Comparison of Ensemble Machine Learning Methods for Automated Classification of Focal and Non-Focal Epileptic EEG Signals. Mathematics. 8(9). 1481–1481. 49 indexed citations

9.

Subaşı, Abdülhamit, Samed Jukić, & Jasmin Kevrić. (2019). Comparison of EMD, DWT and WPD for the localization of epileptogenic foci using Random Forest classifier. Measurement. 146. 846–855. 42 indexed citations

10.

Jukić, Samed, et al.. (2018). Majority Vote of Ensemble Machine Learning Methods for Real-Time Epilepsy Prediction Applied on EEG Pediatric Data. TEM Journal. 313–318. 6 indexed citations

11.

Kevrić, Jasmin, Samed Jukić, & Abdülhamit Subaşı. (2016). An effective combining classifier approach using tree algorithms for network intrusion detection. Neural Computing and Applications. 28(S1). 1051–1058. 140 indexed citations

12.

Jukić, Samed, et al.. (2015). COMPARISON OF MACHINE LEARNING TECHNIQUES IN SPAM E-MAIL CLASSIFICATION. 4(1). 1 indexed citations

13.

Jukić, Samed & Abdülhamit Subaşı. (2013). Localization of the epileptogenic foci using Support Vector Machine. 2(2). 1 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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