Muammar Kabir
- Cardiology and Cardiovascular Medicine top 5%
- Physiology
- Cognitive Neuroscience top 10%
- Endocrine and Autonomic Systems top 5%
- Biomedical Engineering
- Co-authors
- Mathias BaumertLarisa G. TereshchenkoEugene NalivaikoDerek AbbottCharles A. HenriksonJonathan W. WaksMark E. JosephsonDavid German
- Topics
- Heart Rate Variability and Autonomic Control (21 papers)Cardiac electrophysiology and arrhythmias (19 papers)Obstructive Sleep Apnea Research (17 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrine and Autonomic SystemsCognitive Neuroscience
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Muammar Kabir
58 papers receiving 723 citations
Peers
Comparison fields: 5 of 79
- Cardiology and Cardiovascular Medicine 492
- Physiology 146
- Cognitive Neuroscience 141
- Endocrine and Autonomic Systems 139
- Biomedical Engineering 127
Countries citing papers authored by Muammar Kabir
This map shows the geographic impact of Muammar Kabir'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 Muammar Kabir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muammar Kabir more than expected).
Fields of papers citing papers by Muammar Kabir
This network shows the impact of papers produced by Muammar Kabir. 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 Muammar Kabir. The network helps show where Muammar Kabir may publish in the future.
Co-authorship network of co-authors of Muammar Kabir
This figure shows the co-authorship network connecting the top 25 collaborators of Muammar Kabir. A scholar is included among the top collaborators of Muammar Kabir 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 Muammar Kabir. Muammar Kabir 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 | 19 | |
| 3 | 21 | |
| 4 | 3 | |
| 5 | 12 | |
| 6 | 26 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 13 | |
| 11 | 6 | |
| 12 | Quantification of cardio-respiratory interactions in patients with mild obstructive sleep apnea syndrome using joint symbolic dynamics | 1 |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 39 | |
| 16 | 17 | |
| 17 | 2 | |
| 18 | 57 | |
| 19 | 65 | |
| 20 | 14 |
About Muammar Kabir
Muammar Kabir is a scholar working on Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Cognitive Neuroscience, having authored 62 papers that have together received 734 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (21 papers), Cardiac electrophysiology and arrhythmias (19 papers) and Obstructive Sleep Apnea Research (17 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (492 citations), Endocrine and Autonomic Systems (139 citations) and Cognitive Neuroscience (141 citations). Muammar Kabir has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Mathias Baumert, Larisa G. Tereshchenko, Eugene Nalivaiko, Derek Abbott, Charles A. Henrikson, Jonathan W. Waks, Mark E. Josephson, David German, Yvonne Pamula and Thomas A. Dewland. Their work appears in journals such as Circulation, PLoS ONE and Clinical Cancer Research.
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.