Muhammad Adam
Impact in
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- ECG Monitoring and Analysis
- Cardiac electrophysiology and arrhythmias
- Heart Rate Variability and Autonomic Control
- Cognitive Neuroscience top 0.5%
- EEG and Brain-Computer Interfaces
Papers in
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- ECG Monitoring and Analysis 19
- Heart Rate Variability and Autonomic Control 11
- Cardiac electrophysiology and arrhythmias 6
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- EEG and Brain-Computer Interfaces 14
- Co-authors
- U. Rajendra Acharya (19 shared papers)Jen Hong Tan (19 shared papers)Yuki Hagiwara (15 shared papers)Shu Lih Oh (16 shared papers)Hamido Fujita (11 shared papers)Ru‐San Tan (10 shared papers)Arkadiusz Gertych (2 shared papers)Oh Shu Lih (3 shared papers)
In The Last Decade
Muhammad Adam
28 papers receiving 4.6k citations
Muhammad Adam's Hit Papers
Peers
Comparison fields: 5 of 148
- Cardiology and Cardiovascular Medicine 3.2k
- Cognitive Neuroscience 2.1k
- Health Information Management 333
- Signal Processing 323
- Biomedical Engineering 1.2k
Countries citing papers authored by Muhammad Adam
This map shows the geographic impact of Muhammad Adam'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 Muhammad Adam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Adam more than expected).
Fields of papers citing papers by Muhammad Adam
This network shows the impact of papers produced by Muhammad Adam. 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 Muhammad Adam. The network helps show where Muhammad Adam may publish in the future.
Co-authors
The 25 scholars most cited alongside Muhammad Adam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A deep convolutional neural network model to classify heartbeats Hit paper breakdown → | 2017 | 1086 |
| 2 | Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals Hit paper breakdown → | 2017 | 733 |
| 3 | Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network Hit paper breakdown → | 2017 | 582 |
| 4 | Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals Hit paper breakdown → | 2018 | 305 |
| 5 | 2017 | 295 | |
| 6 | 2000 | 286 | |
| 7 | 2018 | 237 | |
| 8 | Automated identification of shockable and non-shockable life-threatening ventricular arrhythmias using convolutional neural network Hit paper breakdown → | 2017 | 230 |
| 9 | 2016 | 205 | |
| 10 | 2016 | 199 | |
| 11 | 2018 | 99 | |
| 12 | 2017 | 84 | |
| 13 | 2017 | 79 | |
| 14 | 2017 | 72 | |
| 15 | 2016 | 64 | |
| 16 | 2018 | 48 | |
| 17 | 2018 | 45 | |
| 18 | 2018 | 29 | |
| 19 | 2017 | 15 | |
| 20 | 2017 | 13 |
About Muhammad Adam
Muhammad Adam is a scholar working on Cardiology and Cardiovascular Medicine, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 4.7k indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (19 papers), EEG and Brain-Computer Interfaces (14 papers), Heart Rate Variability and Autonomic Control (11 papers), Cardiac electrophysiology and arrhythmias (6 papers), Infrared Thermography in Medicine (4 papers), Non-Invasive Vital Sign Monitoring (3 papers), Diabetic Foot Ulcer Assessment and Management (3 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.2k citations), Cognitive Neuroscience (2.1k citations), Health Information Management (333 citations), Signal Processing (323 citations) and Biomedical Engineering (1.2k citations). Muhammad Adam has collaborated with scholars based in Singapore, Malaysia and Japan. Frequent co-authors include U. Rajendra Acharya, Jen Hong Tan, Yuki Hagiwara, Shu Lih Oh, Hamido Fujita, Ru‐San Tan, Arkadiusz Gertych, Oh Shu Lih, Vidya K. Sudarshan and Chua Kuang Chua. Their work appears in journals such as Computers in Biology and Medicine, Knowledge-Based Systems, Information Sciences, Journal of Applied Biomedicine and Computer Methods and Programs in Biomedicine.
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.