Cüneyt Yılmaz
- Pulmonary and Respiratory Medicine top 10%
- Physiology
- Surgery
- Endocrine and Autonomic Systems top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Connie C. W. HsiaD. Merrill DaneYildirim HürmüzlüPriya RavikumarAaron S. EstreraRobert L. JohnsonPhilip RaskinChanhaeng Rhee
- Topics
- Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers)Respiratory Support and Mechanisms (9 papers)ECG Monitoring and Analysis (7 papers)
- Partner nations
- United StatesTürkiyeItaly
In The Last Decade
Cüneyt Yılmaz
41 papers receiving 628 citations
Peers
Comparison fields: 5 of 84
- Pulmonary and Respiratory Medicine 376
- Physiology 91
- Surgery 91
- Endocrine and Autonomic Systems 76
- Control and Systems Engineering 76
Countries citing papers authored by Cüneyt Yılmaz
This map shows the geographic impact of Cüneyt Yılmaz'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 Cüneyt Yılmaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cüneyt Yılmaz more than expected).
Fields of papers citing papers by Cüneyt Yılmaz
This network shows the impact of papers produced by Cüneyt Yılmaz. 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 Cüneyt Yılmaz. The network helps show where Cüneyt Yılmaz may publish in the future.
Co-authorship network of co-authors of Cüneyt Yılmaz
This figure shows the co-authorship network connecting the top 25 collaborators of Cüneyt Yılmaz. A scholar is included among the top collaborators of Cüneyt Yılmaz 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 Cüneyt Yılmaz. Cüneyt Yılmaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 0 | |
| 4 | A novel algorithm combining continuous wavelet transform and philips method for QT interval analysis | 1 |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 13 | |
| 9 | 68 | |
| 10 | 21 | |
| 11 | 11 | |
| 12 | 60 | |
| 13 | 1 | |
| 14 | 24 | |
| 15 | 5 | |
| 16 | 21 | |
| 17 | 9 | |
| 18 | 24 | |
| 19 | 12 | |
| 20 | 38 |
About Cüneyt Yılmaz
Cüneyt Yılmaz is a scholar working on Endocrine and Autonomic Systems, Health Informatics and Pulmonary and Respiratory Medicine, having authored 43 papers that have together received 647 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers), Respiratory Support and Mechanisms (9 papers) and ECG Monitoring and Analysis (7 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (376 citations), Endocrine and Autonomic Systems (76 citations) and Health Informatics (7 citations). Cüneyt Yılmaz has collaborated with scholars based in United States, Türkiye and Italy. Frequent co-authors include Connie C. W. Hsia, D. Merrill Dane, Yildirim Hürmüzlü, Priya Ravikumar, Aaron S. Estrera, Robert L. Johnson, Philip Raskin, Chanhaeng Rhee, Dennis J. Bellotto and Christine Kim Garcia. Their work appears in journals such as Diabetes Care, Journal of Applied Physiology and CHEST Journal.
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.