Asma Channa
- Biomedical Engineering
- Electrical and Electronic Engineering
- Neurology top 10%
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Nirvana PopescuVarun JeotiGoran M. StojanovićRadim BürgetJustyna SkibińskaVlad CiobanuS. A. R. Abu–BakarUsman Ullah Sheikh
- Topics
- Parkinson's Disease Mechanisms and Treatments (7 papers)Neurological disorders and treatments (5 papers)COVID-19 diagnosis using AI (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
In The Last Decade
Asma Channa
17 papers receiving 533 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Biomedical Engineering 237
- Electrical and Electronic Engineering 124
- Neurology 98
- Computer Vision and Pattern Recognition 59
- Radiology, Nuclear Medicine and Imaging 46
Countries citing papers authored by Asma Channa
This map shows the geographic impact of Asma Channa'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 Asma Channa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asma Channa more than expected).
Fields of papers citing papers by Asma Channa
This network shows the impact of papers produced by Asma Channa. 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 Asma Channa. The network helps show where Asma Channa may publish in the future.
Co-authorship network of co-authors of Asma Channa
This figure shows the co-authorship network connecting the top 25 collaborators of Asma Channa. A scholar is included among the top collaborators of Asma Channa 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 Asma Channa. Asma Channa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 14 | |
| 3 | 0 | |
| 4 | 25 | |
| 5 | Comprehensive Review on Wearable Sweat-Glucose Sensors for Continuous Glucose Monitoringbreakdown → | 206 |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | 39 | |
| 12 | 121 | |
| 13 | 2 | |
| 14 | 8 | |
| 15 | 6 | |
| 16 | 13 | |
| 17 | 81 | |
| 18 | 1 | |
| 19 | Recent developments and trends for analyzing gait in Parkinson’s Patients: A review | 0 |
| 20 | 2 |
About Asma Channa
Asma Channa is a scholar working on Health Informatics, General Dentistry and Neurology, having authored 21 papers that have together received 554 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Neurological disorders and treatments (5 papers) and COVID-19 diagnosis using AI (4 papers). The work is most often cited by research in Health Informatics (9 citations), Neurology (98 citations) and Bioengineering (35 citations). Asma Channa has collaborated with scholars based in Romania, Italy and Malaysia. Frequent co-authors include Nirvana Popescu, Varun Jeoti, Goran M. Stojanović, Radim Bürget, Justyna Skibińska, Vlad Ciobanu, S. A. R. Abu–Bakar, Usman Ullah Sheikh, Andrei C. Popescu and Mihai Oane. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.