Kemal Polat

233 papers receiving 7.8k citations

Kemal Polat's Hit Papers

Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform 2006 · 529 citations
5290+6+13Years since publication100200300400500

Peers

Kemal Polat
Comparison fields: 5 of 195
  • Health Information Management 1.1k
  • Signal Processing 1.1k
  • Artificial Intelligence 2.9k
  • Cognitive Neuroscience 1.3k
  • Computer Vision and Pattern Recognition 1.3k
Replace Abdulkadir Şengür with:
Abdulkadir Şengür Türkiye
Abbas Khosravi Australia
Giancarlo Fortino Italy
Victor Hugo C. de Albuquerque Brazil
J. M. Górriz Spain
Begonya García-Zapirain Spain
Yuki Hagiwara Singapore
Oliver Faust Singapore
Paweł Pławiak Poland
Abdülhamit Subaşı Saudi Arabia
Kemal Polat relative to Abdulkadir Şengür Türkiye Abdulkadir Şengür's profile →
Citations per field
00.5×1.5×1.8×
Abdulkadir Şengür · 1×
Citations per year

Countries citing papers authored by Kemal Polat

Since Specialization
Citations

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

Fields of papers citing papers by Kemal Polat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kemal Polat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kemal Polat Line = papers co-authored together Kemal Polat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 255 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform
Hit paper breakdown →
2006529
2 2006283
3 2006269
4 2020237
5 2006231
6 2007185
7 2010170
8 2021167
9 2014163
10 2009139
11 2006138
12 2014118
13 2020110
14 2006110
15 2007109
16 2006109
17 2011102
18 201697
19 202086
20 200585

About Kemal Polat

Kemal Polat is a scholar working on Artificial Intelligence, Biomedical Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, having authored 255 papers that have together received 8.2k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (37 papers), ECG Monitoring and Analysis (27 papers), Artificial Intelligence in Healthcare (25 papers), Non-Invasive Vital Sign Monitoring (23 papers), Artificial Immune Systems Applications (15 papers), Face and Expression Recognition (14 papers), Heart Rate Variability and Autonomic Control (14 papers) and Machine Learning in Bioinformatics (13 papers). The work is most often cited by research in Health Information Management (1.1k citations), Signal Processing (1.1k citations), Artificial Intelligence (2.9k citations), Cognitive Neuroscience (1.3k citations) and Computer Vision and Pattern Recognition (1.3k citations). Kemal Polat has collaborated with scholars based in Türkiye, Saudi Arabia and China. Frequent co-authors include Salih Güneş, Majid Nour, Adi Alhudhaif, Fayadh Alenezi, Seral Şahan, M. Hariharan, Zafer Cömert, Şebnem Yosunkaya, Ahmet Arslan and Ümit Şentürk. Their work appears in journals such as Expert Systems with Applications, Applied Soft Computing, Neural Computing and Applications, Biomedical Signal Processing and Control and Applied Acoustics.

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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