Mohammad Loni
Impact in
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- ECG Monitoring and Analysis
- Cardiac electrophysiology and arrhythmias
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
Papers in
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- Advanced Neural Network Applications 7
- Human Pose and Action Recognition 2
- Advanced Vision and Imaging 2
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- Machine Learning and Data Classification 3
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Masoud Daneshtalab (16 shared papers)Arash Gharehbaghi (3 shared papers)Zahra Ebrahimi (1 shared paper)Mikael Sjödin (9 shared papers)Hadi Esmaeilzadeh (1 shared paper)Mostafa E. Salehi (1 shared paper)Elena Troubitsynå (2 shared papers)Hossein Fotouhi (1 shared paper)
In The Last Decade
Mohammad Loni
17 papers receiving 516 citations
Mohammad Loni's Hit Papers
Peers
Comparison fields: 5 of 78
- Cardiology and Cardiovascular Medicine 294
- Cognitive Neuroscience 177
- Computer Vision and Pattern Recognition 101
- Artificial Intelligence 137
- Health Informatics 5
Countries citing papers authored by Mohammad Loni
This map shows the geographic impact of Mohammad Loni'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 Mohammad Loni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Loni more than expected).
Fields of papers citing papers by Mohammad Loni
This network shows the impact of papers produced by Mohammad Loni. 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 Mohammad Loni. The network helps show where Mohammad Loni may publish in the future.
Co-authors
The 20 scholars most cited alongside Mohammad Loni, 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 | A review on deep learning methods for ECG arrhythmia classification Hit paper breakdown → | 2020 | 321 |
| 2 | 2020 | 81 | |
| 3 | 2021 | 22 | |
| 4 | 2020 | 15 | |
| 5 | 2019 | 15 | |
| 6 | 2019 | 12 | |
| 7 | 2023 | 10 | |
| 8 | 2018 | 9 | |
| 9 | 2018 | 9 | |
| 10 | 2023 | 8 | |
| 11 | 2022 | 8 | |
| 12 | 2019 | 6 | |
| 13 | 2025 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2021 | 3 | |
| 16 | Design Challenges in Hardware Development of Time-Sensitive Networking: A Research Plan. | 2019 | 3 |
| 17 | 2018 | 2 |
About Mohammad Loni
Mohammad Loni is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 532 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Machine Learning and Data Classification (3 papers), CCD and CMOS Imaging Sensors (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Real-Time Systems Scheduling (2 papers), Human Pose and Action Recognition (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (294 citations), Cognitive Neuroscience (177 citations), Computer Vision and Pattern Recognition (101 citations), Artificial Intelligence (137 citations) and Health Informatics (5 citations). Mohammad Loni has collaborated with scholars based in Sweden, Iran and Finland. Frequent co-authors include Masoud Daneshtalab, Arash Gharehbaghi, Zahra Ebrahimi, Mikael Sjödin, Hadi Esmaeilzadeh, Mostafa E. Salehi, Elena Troubitsynå, Hossein Fotouhi, Mauro Conti and Abdolah Loni. Their work appears in journals such as Scientific Reports, ACM Transactions on Embedded Computing Systems, npj Digital Medicine, Drones and IEEE Transactions on Systems Man and Cybernetics Systems.
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.