Musa Peker

1.2k total citations
27 papers, 855 citations indexed

About

Musa Peker is a scholar working on Cognitive Neuroscience, Signal Processing and Biomedical Engineering. According to data from OpenAlex, Musa Peker has authored 27 papers receiving a total of 855 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 7 papers in Signal Processing and 5 papers in Biomedical Engineering. Recurrent topics in Musa Peker's work include EEG and Brain-Computer Interfaces (9 papers), Blind Source Separation Techniques (6 papers) and Non-Invasive Vital Sign Monitoring (3 papers). Musa Peker is often cited by papers focused on EEG and Brain-Computer Interfaces (9 papers), Blind Source Separation Techniques (6 papers) and Non-Invasive Vital Sign Monitoring (3 papers). Musa Peker collaborates with scholars based in Türkiye and United States. Musa Peker's co-authors include Baha Şen, Dursun Delen, Fatih V. Çelebi, Abdullah Çavuşoğlu, Serkan Ballı, Pınar Yıldız, Abdülkadir But, Osman Özkaraca, Hande Arslan and İsmail Kırbaş and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Musa Peker

24 papers receiving 815 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Musa Peker Türkiye 12 409 274 178 146 114 27 855
Baha Şen Türkiye 14 366 0.9× 233 0.9× 220 1.2× 155 1.1× 80 0.7× 62 1.0k
Mohammad Pooyan Iran 17 225 0.6× 207 0.8× 186 1.0× 253 1.7× 112 1.0× 59 924
Türker Tuncer Türkiye 18 230 0.6× 157 0.6× 336 1.9× 339 2.3× 119 1.0× 89 1.2k
Parisa Moridian Australia 17 745 1.8× 154 0.6× 301 1.7× 205 1.4× 35 0.3× 19 1.4k
Marjane Khodatars Iran 17 695 1.7× 148 0.5× 302 1.7× 216 1.5× 33 0.3× 19 1.4k
Mahboobeh Jafari Australia 16 625 1.5× 116 0.4× 249 1.4× 213 1.5× 29 0.3× 23 1.2k
Kenneth Revett United Kingdom 17 407 1.0× 307 1.1× 299 1.7× 454 3.1× 49 0.4× 63 1.4k
Joon S. Lim South Korea 12 264 0.6× 138 0.5× 159 0.9× 62 0.4× 27 0.2× 73 726
Emina Aličković Sweden 13 865 2.1× 343 1.3× 290 1.6× 101 0.7× 57 0.5× 38 1.4k
Mohamed A. Bencherif Saudi Arabia 19 611 1.5× 324 1.2× 397 2.2× 235 1.6× 129 1.1× 32 1.4k

Countries citing papers authored by Musa Peker

Since Specialization
Citations

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

Fields of papers citing papers by Musa Peker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Musa Peker

This figure shows the co-authorship network connecting the top 25 collaborators of Musa Peker. A scholar is included among the top collaborators of Musa Peker 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 Musa Peker. Musa Peker 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.
Peker, Musa. (2021). Multi-channel capsule network ensemble for plant disease detection. SN Applied Sciences. 3(7). 17 indexed citations
2.
Özkaraca, Osman, et al.. (2018). A FUZZY LOGIC BASED CLINICAL DECISION SUPPORT SYSTEM FOR EMERGENCY SERVICES. Mühendislik Bilimleri ve Tasarım Dergisi. 6(3). 375–382. 1 indexed citations
3.
Ballı, Serkan, et al.. (2018). Human activity recognition from smart watch sensor data using a hybrid of principal component analysis and random forest algorithm. Measurement and Control. 52(1-2). 37–45. 94 indexed citations
4.
5.
Peker, Musa & Osman Özkaraca. (2018). Büyük ölçekli veri setleri için GPU hızlandırmalı melez bir GA-SVM: Cu-GA-SVM. SHILAP Revista de lepidopterología. 6(3). 581–591. 3 indexed citations
6.
Peker, Musa, et al.. (2017). Enerji Tasarruflu Bina Tasarımı İçin Isıtma ve Soğutma Yüklerini Regresyon Tabanlı Makine Öğrenmesi Algoritmaları İle Modelleme. Bilişim Teknolojileri Dergisi. 443–449. 10 indexed citations
7.
Peker, Musa, et al.. (2017). Estimation of HbA1c value using artificial neural networks. 7(1). 1–7.
8.
Peker, Musa. (2016). A new approach for automatic sleep scoring: Combining Taguchi based complex-valued neural network and complex wavelet transform. Computer Methods and Programs in Biomedicine. 129. 203–216. 33 indexed citations
9.
Peker, Musa & İsmail Kırbaş. (2016). Veri Madenciliği Süreç Modeli ile El Hareketlerinin Myoelektrik Kontrolü. Mehmet Akif Ersoy Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 7(1). 84–93. 1 indexed citations
10.
Peker, Musa. (2016). A decision support system to improve medical diagnosis using a combination of k-medoids clustering based attribute weighting and SVM. Journal of Medical Systems. 40(5). 116–116. 70 indexed citations
11.
Peker, Musa. (2016). An efficient sleep scoring system based on EEG signal using complex-valued machine learning algorithms. Neurocomputing. 207. 165–177. 41 indexed citations
12.
Arslan, Hande, Baha Şen, Fatih V. Çelebi, Musa Peker, & Abdülkadir But. (2015). A comparison of different classification algorithms for determining the depth of anesthesia level on a new set of attributes. AYBU AVESIS. 1–7. 3 indexed citations
13.
Gürüler, Hüseyin, Musa Peker, & Ömür Baysal. (2015). Soft computing model on genetic diversity and pathotype differentiation of pathogens: A novel approach. Electronic Journal of Biotechnology. 18(5). 347–354. 1 indexed citations
14.
Peker, Musa, Hande Arslan, Baha Şen, Fatih V. Çelebi, & Abdülkadir But. (2015). A novel hybrid method for determining the depth of anesthesia level: Combining ReliefF feature selection and random forest algorithm (ReliefF+RF). 24 indexed citations
15.
Peker, Musa, Baha Şen, & Dursun Delen. (2015). Computer‐Aided Diagnosis of Parkinson’s Disease Using Complex‐Valued Neural Networks and mRMR Feature Selection Algorithm. Journal of Healthcare Engineering. 6(3). 281–302. 84 indexed citations
16.
Gürüler, Hüseyin, et al.. (2014). Determining the Appropriate Amount of Anesthetic Gas Using DWT and EMD Combined with Neural Network. Journal of Medical Systems. 39(1). 173–173. 5 indexed citations
17.
Şen, Baha, Musa Peker, Abdullah Çavuşoğlu, & Fatih V. Çelebi. (2014). A Comparative Study on Classification of Sleep Stage Based on EEG Signals Using Feature Selection and Classification Algorithms. Journal of Medical Systems. 38(3). 18–18. 209 indexed citations
18.
Şen, Baha & Musa Peker. (2013). An efficient approach based on mrMR feature selection and decision tree for automatic sleep stage scoring. AYBU AVESIS. 1 indexed citations
19.
Peker, Musa, Baha Şen, & Pınar Yıldız. (2013). An efficient solving of the traveling salesman problem: the ant colony system having parameters optimized by the Taguchi method. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 21. 2015–2036. 36 indexed citations
20.
Şen, Baha & Musa Peker. (2013). Novel approaches for automated epileptic diagnosis using FCBF selection and classification algorithms. TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES. 21. 2092–2109. 23 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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