Bekir Karlık
- Health Informatics top 1%
- Cognitive Neuroscience top 5%
- EEG and Brain-Computer Interfaces 12
-
- ECG Monitoring and Analysis 9
-
- Artificial Intelligence in Healthcare 4
- Human-Computer Interaction top 5%
-
- Advanced Chemical Sensor Technologies 8
- Muscle activation and electromyography studies 8
-
- Neural Networks and Applications 7
-
- Surgical Simulation and Training 5
-
- Blind Source Separation Techniques 4
In The Last Decade
Bekir Karlık
67 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 162
- Health Informatics 131
- Cognitive Neuroscience 436
- Cardiology and Cardiovascular Medicine 418
- Health Information Management 77
- Human-Computer Interaction 84
Countries citing papers authored by Bekir Karlık
This map shows the geographic impact of Bekir Karlık'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 Bekir Karlık with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bekir Karlık more than expected).
Fields of papers citing papers by Bekir Karlık
This network shows the impact of papers produced by Bekir Karlık. 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 Bekir Karlık. The network helps show where Bekir Karlık may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bekir Karlık, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 18 | |
| 2 | 2021 | 3 | |
| 3 | 2019 | 184 | |
| 4 | 2019 | 2 | |
| 5 | 2016 | 7 | |
| 6 | The Positive Effects of Fuzzy C-Means Clustering on Supervised Learning Classifiers | 2016 | 3 |
| 7 | 2016 | 21 | |
| 8 | Comparison Machine Learning Algorithms for Recognition of Epileptic Seizures in EEG | 2014 | 13 |
| 9 | Diagnosing diabetes illness using pervasive computing and artificial neural networks | 2010 | 1 |
| 10 | Application of Artificial Neural Networks Method in Mucus Clearance in Pulmonary Airways | 2009 | 3 |
| 11 | 2009 | 8 | |
| 12 | 2008 | 31 | |
| 13 | 2008 | 2 | |
| 14 | 2007 | 9 | |
| 15 | 2006 | 1 | |
| 16 | 2005 | 2 | |
| 17 | 2005 | 182 | |
| 18 | 2003 | 147 | |
| 19 | 2002 | 10 | |
| 20 | Differentiating Type of Muscle Movement via AR Modeling and Neural Network Classification | 1999 | 19 |
About Bekir Karlık
Bekir Karlık is a scholar working on Health Information Management, Sensory Systems and Health Informatics, having authored 71 papers that have together received 1.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), ECG Monitoring and Analysis (9 papers), Advanced Chemical Sensor Technologies (8 papers), Muscle activation and electromyography studies (8 papers), Neural Networks and Applications (7 papers), Surgical Simulation and Training (5 papers), Blind Source Separation Techniques (4 papers) and Artificial Intelligence in Healthcare (4 papers). The work is most often cited by research in Health Informatics (131 citations), Cognitive Neuroscience (436 citations) and Cardiology and Cardiovascular Medicine (418 citations). Bekir Karlık has collaborated with scholars based in Türkiye, Bahrain and Canada. Frequent co-authors include Yüksel Özbay, Rahime Ceylan, Musa Alcı, M. O. Tokhi, Alexander Winkler-Schwartz, Nykan Mirchi, Rolando F. Del Maestro, Recai Yilmaz, Nicole Ledwos and Vincent Bissonnette.
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.