Chandramohan Dhasarathan
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- P. DhavachelvanT. VengattaramanG. SambasivamDiwakar TripathiJ. AmudhavelAlok Kumar ShuklaAchyut ShankarShailesh Khapre
- Topics
- Cloud Data Security Solutions (9 papers)IoT and Edge/Fog Computing (9 papers)Blockchain Technology Applications and Security (9 papers)
In The Last Decade
Chandramohan Dhasarathan
47 papers receiving 570 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 300
- Information Systems 199
- Computer Networks and Communications 149
- Radiology, Nuclear Medicine and Imaging 93
- Computer Vision and Pattern Recognition 71
Countries citing papers authored by Chandramohan Dhasarathan
This map shows the geographic impact of Chandramohan Dhasarathan'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 Chandramohan Dhasarathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chandramohan Dhasarathan more than expected).
Fields of papers citing papers by Chandramohan Dhasarathan
This network shows the impact of papers produced by Chandramohan Dhasarathan. 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 Chandramohan Dhasarathan. The network helps show where Chandramohan Dhasarathan may publish in the future.
Co-authorship network of co-authors of Chandramohan Dhasarathan
This figure shows the co-authorship network connecting the top 25 collaborators of Chandramohan Dhasarathan. A scholar is included among the top collaborators of Chandramohan Dhasarathan 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 Chandramohan Dhasarathan. Chandramohan Dhasarathan 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 | 0 | |
| 4 | 7 | |
| 5 | 26 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 20 | |
| 9 | 11 | |
| 10 | 1 | |
| 11 | 16 | |
| 12 | 40 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 13 | |
| 17 | 77 | |
| 18 | Fog enabled secure and privacy obfuscation for Iot services | 3 |
| 19 | 11 | |
| 20 | Air Pollution Based Vehicular Routing Problems: Using Genetic Algorithm Optimization Approach | 2 |
About Chandramohan Dhasarathan
Chandramohan Dhasarathan is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications, having authored 49 papers that have together received 601 indexed citations. Recurring topics across this work include Cloud Data Security Solutions (9 papers), IoT and Edge/Fog Computing (9 papers) and Blockchain Technology Applications and Security (9 papers). The work is most often cited by research in Health Informatics (22 citations), Artificial Intelligence (300 citations) and Information Systems (199 citations). Chandramohan Dhasarathan has collaborated with scholars based in India, Malaysia and Italy. Frequent co-authors include P. Dhavachelvan, T. Vengattaraman, G. Sambasivam, Diwakar Tripathi, J. Amudhavel, Alok Kumar Shukla, Achyut Shankar, Shailesh Khapre, Mohammad Kamrul Hasan and Shayla Islam. Their work appears in journals such as NeuroImage, IEEE Access and Computer Communications.
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.