Sudha Subramani
- Artificial Intelligence top 10%
- Information Systems top 10%
- Sociology and Political Science
- Signal Processing
- Health
- Topics
- Cybercrime and Law Enforcement Studies (4 papers)ECG Monitoring and Analysis (2 papers)Online Learning and Analytics (2 papers)
- Partner nations
- AustraliaChinaSwitzerland
In The Last Decade
Sudha Subramani
14 papers receiving 229 citations
Peers
Comparison fields: 5 of 76
- Artificial Intelligence 125
- Information Systems 68
- Sociology and Political Science 56
- Signal Processing 31
- Health 26
Countries citing papers authored by Sudha Subramani
This map shows the geographic impact of Sudha Subramani'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 Sudha Subramani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sudha Subramani more than expected).
Fields of papers citing papers by Sudha Subramani
This network shows the impact of papers produced by Sudha Subramani. 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 Sudha Subramani. The network helps show where Sudha Subramani may publish in the future.
Co-authorship network of co-authors of Sudha Subramani
This figure shows the co-authorship network connecting the top 25 collaborators of Sudha Subramani. A scholar is included among the top collaborators of Sudha Subramani 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 Sudha Subramani. Sudha Subramani 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 | 4 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 27 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 27 | |
| 9 | 15 | |
| 10 | 39 | |
| 11 | 13 | |
| 12 | 37 | |
| 13 | 48 | |
| 14 | 8 |
About Sudha Subramani
Sudha Subramani is a scholar working on Health Informatics, Computer Science Applications and Information Systems, having authored 14 papers that have together received 235 indexed citations. Recurring topics across this work include Cybercrime and Law Enforcement Studies (4 papers), ECG Monitoring and Analysis (2 papers) and Online Learning and Analytics (2 papers). The work is most often cited by research in Artificial Intelligence (125 citations), Health (26 citations) and Information Systems (68 citations). Sudha Subramani has collaborated with scholars based in Australia, China and Switzerland. Frequent co-authors include Hua Wang, Jiahua Du, Yanchun Zhang, Gang Li, Khandakar Ahmed, Le Sun, Xuyang Wang, Dandan Peng, Yuan Miao and Jia Rong. Their work appears in journals such as IEEE Access, Applied Sciences and BMC Medical Informatics and Decision Making.
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.