Nishanth Chandran

2.7k citations
37 papers · 759 · h-index 12

Impact in

    • Cryptography and Data Security
    • Privacy-Preserving Technologies in Data
    • Adversarial Robustness in Machine Learning
    • Stochastic Gradient Optimization Techniques
    • Internet Traffic Analysis and Secure E-voting

Papers in

Nishanth Chandran

34 papers receiving 739 citations

Peers

Nishanth Chandran
Comparison fields: 5 of 51
  • Artificial Intelligence 662
  • Health Informatics 12
  • Information Systems 137
  • Computational Theory and Mathematics 65
  • Computer Vision and Pattern Recognition 74
Replace Jiaxing Zhang with:
Jiaxing Zhang China
Aseem Rastogi United States
M. Sadegh Riazi United States
Le Chen China
Bita Darvish Rouhani United States
Mohammed Kaosar Australia
Omar Adwan Jordan
Ambra Demontis Italy
Yujuan Tan China
Shangshang Yang China
Nishanth Chandran relative to Jiaxing Zhang China Jiaxing Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nishanth Chandran

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Nishanth Chandran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nishanth Chandran Line = papers co-authored together Nishanth Chandran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019224
2 2020179
3 201965
4 202146
5 202229
6 202128
7 201726
8 200625
9 202422
10 202221
11 200914
12 202412
13 20079
14 20109
15 20168
16 20157
17 20175
18 20145
19 20044
20 20223

About Nishanth Chandran

Nishanth Chandran is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 37 papers that have together received 759 indexed citations. Recurring topics across this work include Cryptography and Data Security (26 papers), Privacy-Preserving Technologies in Data (15 papers), Complexity and Algorithms in Graphs (10 papers), Cryptographic Implementations and Security (7 papers), Adversarial Robustness in Machine Learning (4 papers), Advanced Authentication Protocols Security (3 papers), User Authentication and Security Systems (3 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Artificial Intelligence (662 citations), Health Informatics (12 citations), Information Systems (137 citations), Computational Theory and Mathematics (65 citations) and Computer Vision and Pattern Recognition (74 citations). Nishanth Chandran has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Divya Gupta, Sameer Wagh, Aseem Rastogi, Rahul Sharma, Deevashwer Rathee, Mayank Rathee, Nishant Kumar, Vipul Goyal, Rahul Sharma and Divya Gupta. Their work appears in journals such as Journal of the ACM, International Journal of Industrial and Systems Engineering, SIAM Journal on Computing, ACM Transactions on Algorithms and Journal of Cryptology.

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.

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