Jasmin Kevrić

2.3k citations

40 papers · 1.4k indexed · 2 hit papers · h-index 14

Cognitive Neuroscience top 2%
Signal Processing top 1%
Artificial Intelligence top 5%
Cardiology and Cardiovascular Medicine top 10%
Cellular and Molecular Neuroscience top 10%

Co-authors: Abdülhamit Subaşı Emina Aličković Samed Jukić M. Abdullah Canbaz Zerina Mašetić Muzafer Saračević Almir Badnjević Lejla Gurbeta Pokvić
Topics: EEG and Brain-Computer Interfaces (11 papers)Blind Source Separation Techniques (7 papers)ECG Monitoring and Analysis (4 papers)
Cited by: Signal Processing Cognitive Neuroscience Medical Laboratory Technology
Journals: Neural Computing and Applications Measurement Forensic Science International
Partner nations: Bosnia and Herzegovina Saudi Arabia Australia

In The Last Decade

Jasmin Kevrić

36 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and prediction

2017 313 citations Emina Aličković, Jasmin Kevrić et al. Biomedical Signal Processing and Control profile →
Comparison of signal decomposition methods in classification of EEG signals for motor-imagery BCI system

2016 313 citations Jasmin Kevrić, Abdülhamit Subaşı Biomedical Signal Processing and Control profile →

Peers

Countries citing papers authored by Jasmin Kevrić

Since Specialization

Citations

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

Fields of papers citing papers by Jasmin Kevrić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jasmin Kevrić

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Domain Adaptation Generative Model for Segmenting 3D MRI Pediatric Brain 2024 ·(unknown),Jasmin Kevrić,(unknown)	0
2	Advanced Technologies, Systems, and Applications VIII 2023 ·Lecture notes in networks and systems ·Naida Ademović,Jasmin Kevrić,Zlatan Akšamija	1
3	Dental age assessment based on CBCT images using machine learning algorithms 2022 ·Forensic Science International ·Rijad Sarić,Jasmin Kevrić,(unknown),(unknown),(unknown),Muzafer Saračević,(unknown),(unknown)	16
4	Experimental Validation and Development of Decision Tree - based System for Prediction of Service Management of Perfusors / Syringe Pump 2022 ·TEM Journal ·(unknown),Zerina Mašetić,Jasmin Kevrić,Lejla Gurbeta,(unknown)	3
5	Deep Learning-Based Studies on Pediatric Brain Tumors Imaging: Narrative Review of Techniques and Challenges 2021 ·Brain Sciences ·(unknown),Jasmin Kevrić,Samed Jukić,(unknown),(unknown),(unknown),(unknown)	19
6	Feature selection using cloud-based parallel genetic algorithm for intrusion detection data classification 2021 ·Neural Computing and Applications ·(unknown),(unknown),Jasmin Kevrić,Samed Jukić,(unknown),Zerina Mašetić	19
7	Comparison of Ensemble Machine Learning Methods for Automated Classification of Focal and Non-Focal Epileptic EEG Signals 2020 ·Mathematics ·Samed Jukić,Muzafer Saračević,Abdülhamit Subaşı,Jasmin Kevrić	49
8	Car Price Prediction using Machine Learning Techniques 2019 ·TEM Journal ·(unknown),(unknown),(unknown),Zerina Mašetić,Jasmin Kevrić	68
9	Evaluation of Skeletal Gender and Maturity for Hand Radiographs using Deep Convolutional Neural Networks 2019 ·Rijad Sarić,Jasmin Kevrić,Eddie Custovic,(unknown),Nejra Beganović	5
10	Evidence-based clinical engineering: Machine learning algorithms for prediction of defibrillator performance 2019 ·Biomedical Signal Processing and Control ·Almir Badnjević,Lejla Gurbeta Pokvić,(unknown),(unknown),Zerina Mašetić,(unknown),Jasmin Kevrić,Leandro Pecchia	54
11	Nonintrusive Real Time Classification of Home and Office Appliances from Smart Meter by Using Machine Learning Techniques 2019 ·(unknown),(unknown),(unknown),Jasmin Kevrić,(unknown)	0
12	New algorithm for distribution system reconstruction planning based on fuzzy inference and multicriteria decision making 2018 ·Engineering review ·(unknown),(unknown),Jasmin Kevrić	2
13	Majority Vote of Ensemble Machine Learning Methods for Real-Time Epilepsy Prediction Applied on EEG Pediatric Data 2018 ·TEM Journal ·Samed Jukić,(unknown),Jasmin Kevrić	6
14	Improved Credit Scoring Model Based on Bagging Neural Network 2018 ·International Journal of Information Technology & Decision Making ·(unknown),Dženana Đonko,Jasmin Kevrić	14
15	Epileptic seizure detection using hybrid machine learning methods 2017 ·Neural Computing and Applications ·Abdülhamit Subaşı,Jasmin Kevrić,M. Abdullah Canbaz	208
16	An extended model of a level and flow control system 2017 ·Harun Šiljak,(unknown),Jasmin Kevrić	1
17	Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and predictionbreakdown → 2017 ·Biomedical Signal Processing and Control ·Emina Aličković,Jasmin Kevrić,Abdülhamit Subaşı	313
18	Comparison of signal decomposition methods in classification of EEG signals for motor-imagery BCI systembreakdown → 2016 ·Biomedical Signal Processing and Control ·Jasmin Kevrić,Abdülhamit Subaşı	313
19	COMPARISON OF MACHINE LEARNING TECHNIQUES IN SPAM E-MAIL CLASSIFICATION 2015 ·Samed Jukić,(unknown),(unknown),Jasmin Kevrić	1
20	The Effect of Multiscale PCA De-noising in Epileptic Seizure Detection 2014 ·Journal of Medical Systems ·Jasmin Kevrić,Abdülhamit Subaşı	49

About Jasmin Kevrić

Jasmin Kevrić is a scholar working on Signal Processing, Medical Laboratory Technology and Cognitive Neuroscience, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (11 papers), Blind Source Separation Techniques (7 papers) and ECG Monitoring and Analysis (4 papers). The work is most often cited by research in Signal Processing (528 citations), Cognitive Neuroscience (824 citations) and Medical Laboratory Technology (41 citations). Jasmin Kevrić has collaborated with scholars based in Bosnia and Herzegovina, Saudi Arabia and Australia. Frequent co-authors include Abdülhamit Subaşı, Emina Aličković, Samed Jukić, M. Abdullah Canbaz, Zerina Mašetić, Muzafer Saračević, Almir Badnjević, Lejla Gurbeta Pokvić, Leandro Pecchia and Dženana Đonko. Their work appears in journals such as Neural Computing and Applications, Measurement and Forensic Science International.

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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