Nishanth Chandran
- Artificial Intelligence top 2%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Divya GuptaSameer WaghRahul SharmaAseem RastogiDeevashwer RatheeMayank RatheeNishant KumarAkash Shah
- Topics
- Cryptography and Data Security (27 papers)Privacy-Preserving Technologies in Data (15 papers)Complexity and Algorithms in Graphs (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the ACMSIAM Journal on Computing
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Nishanth Chandran
34 papers receiving 715 citations
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 650
- Information Systems 142
- Computer Networks and Communications 74
- Computational Theory and Mathematics 70
- Computer Vision and Pattern Recognition 66
Countries citing papers authored by Nishanth Chandran
This map shows the geographic impact of Nishanth Chandran'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 Nishanth Chandran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nishanth Chandran more than expected).
Fields of papers citing papers by Nishanth Chandran
This network shows the impact of papers produced by Nishanth Chandran. 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 Nishanth Chandran. The network helps show where Nishanth Chandran may publish in the future.
Co-authorship network of co-authors of Nishanth Chandran
This figure shows the co-authorship network connecting the top 25 collaborators of Nishanth Chandran. A scholar is included among the top collaborators of Nishanth Chandran 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 Nishanth Chandran. Nishanth Chandran 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 | 2 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 18 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 30 | |
| 10 | 3 | |
| 11 | 27 | |
| 12 | 43 | |
| 13 | 163 | |
| 14 | 218 | |
| 15 | 7 | |
| 16 | 5 | |
| 17 | Functional Re-encryption and Collusion-Resistant Obfuscation | 1 |
| 18 | Theoretical foundations of position-based cryptography | 1 |
| 19 | 0 | |
| 20 | 1 |
About Nishanth Chandran
Nishanth Chandran is a scholar working on Health Informatics, Artificial Intelligence and Computational Theory and Mathematics, having authored 38 papers that have together received 740 indexed citations. Recurring topics across this work include Cryptography and Data Security (27 papers), Privacy-Preserving Technologies in Data (15 papers) and Complexity and Algorithms in Graphs (11 papers). The work is most often cited by research in Artificial Intelligence (650 citations), Health Informatics (12 citations) and Information Systems (142 citations). Nishanth Chandran has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Divya Gupta, Sameer Wagh, Rahul Sharma, Aseem Rastogi, Deevashwer Rathee, Mayank Rathee, Nishant Kumar, Akash Shah, Aseem Rastogi and Vipul Goyal. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the ACM and SIAM Journal on Computing.
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.