Musa Mahmood
- Biomedical Engineering top 2%
- Cognitive Neuroscience top 5%
- Electrical and Electronic Engineering top 10%
- Polymers and Plastics top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Woon‐Hong YeoYun‐Soung KimShinjae KwonRobert HerbertYong-Kuk LeeHyo‐Ryoung LimYoung‐Tae KwonHojoong Kim
- Topics
- Advanced Sensor and Energy Harvesting Materials (22 papers)Muscle activation and electromyography studies (7 papers)EEG and Brain-Computer Interfaces (6 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsAdvanced Functional Materials
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Musa Mahmood
29 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 107
- Biomedical Engineering 1.2k
- Cognitive Neuroscience 454
- Electrical and Electronic Engineering 381
- Polymers and Plastics 303
- Cellular and Molecular Neuroscience 176
Countries citing papers authored by Musa Mahmood
This map shows the geographic impact of Musa Mahmood'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 Musa Mahmood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Musa Mahmood more than expected).
Fields of papers citing papers by Musa Mahmood
This network shows the impact of papers produced by Musa Mahmood. 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 Musa Mahmood. The network helps show where Musa Mahmood may publish in the future.
Co-authorship network of co-authors of Musa Mahmood
This figure shows the co-authorship network connecting the top 25 collaborators of Musa Mahmood. A scholar is included among the top collaborators of Musa Mahmood 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 Musa Mahmood. Musa Mahmood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 30 | |
| 3 | 73 | |
| 4 | 57 | |
| 5 | 2 | |
| 6 | 54 | |
| 7 | 23 | |
| 8 | 179 | |
| 9 | 1 | |
| 10 | 28 | |
| 11 | 46 | |
| 12 | 31 | |
| 13 | 137 | |
| 14 | 96 | |
| 15 | 54 | |
| 16 | 21 | |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 138 | |
| 20 | 148 |
About Musa Mahmood
Musa Mahmood is a scholar working on Bioengineering, Biomedical Engineering and Cognitive Neuroscience, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (22 papers), Muscle activation and electromyography studies (7 papers) and EEG and Brain-Computer Interfaces (6 papers). The work is most often cited by research in Biomedical Engineering (1.2k citations), Cognitive Neuroscience (454 citations) and Polymers and Plastics (303 citations). Musa Mahmood has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Woon‐Hong Yeo, Yun‐Soung Kim, Shinjae Kwon, Robert Herbert, Yong-Kuk Lee, Hyo‐Ryoung Lim, Young‐Tae Kwon, Hojoong Kim, Saswat Mishra and Chee Siang Ang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Advanced Functional Materials.
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.