Saravanakumar Kandasamy
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Sociology and Political Science
- Information Systems
- Control and Systems Engineering
- Co-authors
- R. ParameshwaranAswani Kumar CherukuriK. KathiresanP. SenthilrajaL. RajendranM. C. S. SubhaSenthil Kumar KandasamyS. Gopala Krishnan
- Topics
- Topic Modeling (5 papers)Web Data Mining and Analysis (4 papers)Advanced Text Analysis Techniques (3 papers)
- Cited by
- Management Science and Operations ResearchArtificial IntelligenceManagement of Technology and Innovation
- Partner nations
- IndiaUnited States
In The Last Decade
Saravanakumar Kandasamy
23 papers receiving 270 citations
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 94
- Management Science and Operations Research 73
- Sociology and Political Science 50
- Information Systems 38
- Control and Systems Engineering 35
Countries citing papers authored by Saravanakumar Kandasamy
This map shows the geographic impact of Saravanakumar Kandasamy'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 Saravanakumar Kandasamy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saravanakumar Kandasamy more than expected).
Fields of papers citing papers by Saravanakumar Kandasamy
This network shows the impact of papers produced by Saravanakumar Kandasamy. 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 Saravanakumar Kandasamy. The network helps show where Saravanakumar Kandasamy may publish in the future.
Co-authorship network of co-authors of Saravanakumar Kandasamy
This figure shows the co-authorship network connecting the top 25 collaborators of Saravanakumar Kandasamy. A scholar is included among the top collaborators of Saravanakumar Kandasamy 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 Saravanakumar Kandasamy. Saravanakumar Kandasamy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 18 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 24 | |
| 14 | 66 | |
| 15 | 100 | |
| 16 | 2 | |
| 17 | 8 | |
| 18 | 20 | |
| 19 | 1 | |
| 20 | 2 |
About Saravanakumar Kandasamy
Saravanakumar Kandasamy is a scholar working on Information Systems, Artificial Intelligence and General Social Sciences, having authored 26 papers that have together received 297 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Web Data Mining and Analysis (4 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Management Science and Operations Research (73 citations), Artificial Intelligence (94 citations) and Management of Technology and Innovation (18 citations). Saravanakumar Kandasamy has collaborated with scholars based in India and United States. Frequent co-authors include R. Parameshwaran, Aswani Kumar Cherukuri, K. Kathiresan, P. Senthilraja, L. Rajendran, M. C. S. Subha, Senthil Kumar Kandasamy and S. Gopala Krishnan. Their work appears in journals such as IEEE Access, Applied Soft Computing and Journal of Materials Science Materials in Electronics.
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.