S. Muruganandam
About
In The Last Decade
S. Muruganandam
7 papers receiving 86 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 28
- Periodontics 14
- Computer Networks and Communications 12
- Health Information Management 12
- Information Systems 11
Countries citing papers authored by S. Muruganandam
This map shows the geographic impact of S. Muruganandam'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 S. Muruganandam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Muruganandam more than expected).
Fields of papers citing papers by S. Muruganandam
This network shows the impact of papers produced by S. Muruganandam. 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 S. Muruganandam. The network helps show where S. Muruganandam may publish in the future.
Co-authorship network of co-authors of S. Muruganandam
This figure shows the co-authorship network connecting the top 25 collaborators of S. Muruganandam. A scholar is included among the top collaborators of S. Muruganandam 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 S. Muruganandam. S. Muruganandam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | Applications of Machine Learning in Cancer Prediction and Prognosis | 19 |
| 4 | 5 | |
| 5 | 11 | |
| 6 | 42 | |
| 7 | 11 | |
| 8 | 12 |
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.