M. Kemal Kıymık

1.3k total citations
23 papers, 1.0k citations indexed

About

M. Kemal Kıymık is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence. According to data from OpenAlex, M. Kemal Kıymık has authored 23 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 8 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in M. Kemal Kıymık's work include EEG and Brain-Computer Interfaces (13 papers), Blind Source Separation Techniques (8 papers) and Neural Networks and Applications (5 papers). M. Kemal Kıymık is often cited by papers focused on EEG and Brain-Computer Interfaces (13 papers), Blind Source Separation Techniques (8 papers) and Neural Networks and Applications (5 papers). M. Kemal Kıymık collaborates with scholars based in Türkiye and Bosnia and Herzegovina. M. Kemal Kıymık's co-authors include Abdülhamit Subaşı, Mehmet Akın, Ahmet Alkan, İnan Güler, Etem Köklükaya, ML Akin, Hasan Rıza Özçalık, Deniz Tunçel, Sadık Kara and İbrahim Türkoğlu and has published in prestigious journals such as Neural Networks, Signal Processing and Computer Methods and Programs in Biomedicine.

In The Last Decade

M. Kemal Kıymık

22 papers receiving 978 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Kemal Kıymık Türkiye 13 645 325 211 201 166 23 1.0k
Mehmet Akın Türkiye 14 710 1.1× 271 0.8× 232 1.1× 253 1.3× 146 0.9× 25 1.1k
M. Ramasubba Reddy India 16 572 0.9× 251 0.8× 241 1.1× 230 1.1× 152 0.9× 105 1.1k
Abhay Upadhyay India 15 578 0.9× 327 1.0× 243 1.2× 260 1.3× 121 0.7× 51 1.1k
Fabio La Foresta Italy 18 743 1.2× 423 1.3× 203 1.0× 306 1.5× 89 0.5× 58 1.3k
Mehmet İsmail Gürsoy Türkiye 7 721 1.1× 399 1.2× 98 0.5× 130 0.6× 189 1.1× 14 963
Umut Orhan Türkiye 15 836 1.3× 323 1.0× 83 0.4× 131 0.7× 177 1.1× 50 1.1k
D. Narayana Dutt India 16 412 0.6× 177 0.5× 150 0.7× 194 1.0× 101 0.6× 64 829
Abhijit Bhattacharyya India 16 995 1.5× 558 1.7× 112 0.5× 438 2.2× 245 1.5× 37 1.5k
Cosimo Ieracitano Italy 19 873 1.4× 212 0.7× 135 0.6× 210 1.0× 440 2.7× 42 1.7k
Emina Aličković Sweden 13 865 1.3× 343 1.1× 137 0.6× 270 1.3× 290 1.7× 38 1.4k

Countries citing papers authored by M. Kemal Kıymık

Since Specialization
Citations

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

Fields of papers citing papers by M. Kemal Kıymık

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Kemal Kıymık. 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 M. Kemal Kıymık. The network helps show where M. Kemal Kıymık may publish in the future.

Co-authorship network of co-authors of M. Kemal Kıymık

This figure shows the co-authorship network connecting the top 25 collaborators of M. Kemal Kıymık. A scholar is included among the top collaborators of M. Kemal Kıymık 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 M. Kemal Kıymık. M. Kemal Kıymık 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.
Güney, Kerim, et al.. (2016). Automatic Diagnosis of Obstructive Sleep Apnea/Hypopnea Events Using Respiratory Signals. Journal of Medical Systems. 40(12). 274–274. 5 indexed citations
2.
Kıymık, M. Kemal, et al.. (2016). Design of a functional medical device for home monitoring. 1–4. 4 indexed citations
3.
Kıymık, M. Kemal, et al.. (2016). Tıkayıcı Uyku Apnesinin Yapay Sinir Ağları ve Morfolojik Filtreler kullanılarak Sınıflandırılması İçin Yeni Yöntem. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi. 19(2). 52–52. 2 indexed citations
4.
5.
Subaşı, Abdülhamit, et al.. (2010). Comparison of sub-space based MUSIC and AR BURG methods in diagnosis of migraine by support vector machines. 192–195. 1 indexed citations
6.
Subaşı, Abdülhamit & M. Kemal Kıymık. (2009). Muscle Fatigue Detection in EMG Using Time–Frequency Methods, ICA and Neural Networks. Journal of Medical Systems. 34(4). 777–785. 82 indexed citations
7.
Tunçel, Deniz, et al.. (2008). Time Frequency Based Coherence Analysis Between EEG and EMG Activities in Fatigue Duration. Journal of Medical Systems. 34(2). 131–138. 33 indexed citations
8.
Alkan, Ahmet & M. Kemal Kıymık. (2006). Comparison of AR and Welch Methods in Epileptic Seizure Detection. Journal of Medical Systems. 30(6). 413–419. 68 indexed citations
9.
Subaşı, Abdülhamit, Ahmet Alkan, Etem Köklükaya, & M. Kemal Kıymık. (2005). Wavelet neural network classification of EEG signals by using AR model with MLE preprocessing. Neural Networks. 18(7). 985–997. 122 indexed citations
10.
Subaşı, Abdülhamit, M. Kemal Kıymık, Ahmet Alkan, & Etem Köklükaya. (2005). Neural Network Classification of EEG Signals by Using AR with MLE Preprocessing for Epileptic Seizure Detection. Mathematical and Computational Applications. 10(1). 57–70. 39 indexed citations
11.
Kıymık, M. Kemal, et al.. (2004). Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real-time application. Computers in Biology and Medicine. 35(7). 603–616. 231 indexed citations
12.
Kıymık, M. Kemal, Abdülhamit Subaşı, & Hasan Rıza Özçalık. (2004). Neural Networks with Periodogram and Autoregressive Spectral Analysis Methods in Detection of Epileptic Seizure. Journal of Medical Systems. 28(6). 511–522. 50 indexed citations
13.
Kıymık, M. Kemal, Mehmet Akın, & Abdülhamit Subaşı. (2004). Automatic recognition of alertness level by using wavelet transform and artificial neural network. Journal of Neuroscience Methods. 139(2). 231–240. 125 indexed citations
14.
Güler, İnan, M. Kemal Kıymık, Mehmet Akın, & Ahmet Alkan. (2001). AR spectral analysis of EEG signals by using maximum likelihood estimation. Computers in Biology and Medicine. 31(6). 441–450. 87 indexed citations
15.
Akin, ML & M. Kemal Kıymık. (2000). Application of Periodogram and AR Spectral Analysis to EEG Signals. Journal of Medical Systems. 24(4). 247–256. 64 indexed citations
16.
Kıymık, M. Kemal, et al.. (1997). Ultrasound imaging based on multiple beamforming with coded excitation. Signal Processing. 58(1). 107–113. 7 indexed citations
17.
Güler, İnan, M. Kemal Kıymık, & Nihal Fatma Güler. (1996). Order determination in autoregressive modeling of diastolic heart sounds. Journal of Medical Systems. 20(1). 11–17. 7 indexed citations
18.
Kıymık, M. Kemal, et al.. (1995). Comparison of FFT- and AR-based sonogram outputs of 20 MHz pulsed Doppler data in real time. Computers in Biology and Medicine. 25(4). 383–391. 28 indexed citations
19.
Güler, İnan, M. Kemal Kıymık, Sadık Kara, & Mehmet Emin Yüksel. (1992). Application of autoregressive analysis to 20 MHz pulsed Doppler data in real time. International Journal of Bio-Medical Computing. 31(3-4). 247–256. 10 indexed citations
20.
Kıymık, M. Kemal, et al.. (1992). <title>Multiple simultaneous excitation electrical impedance tomography using low cross-correlated signals</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1818. 1256–1263. 2 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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