Sujit Rokka Chhetri
- Hardware and Architecture top 5%
- Physical Unclonable Functions (PUFs) and Hardware Security 15
-
- Digital Transformation in Industry 5
- Automotive Engineering top 5%
- Additive Manufacturing and 3D Printing Technologies 6
- Artificial Intelligence top 5%
- Cryptographic Implementations and Security 4
- Adversarial Robustness in Machine Learning 2
-
- Electrostatic Discharge in Electronics 6
- Advanced Memory and Neural Computing 2
-
- IoT and Edge/Fog Computing 3
Sujit Rokka Chhetri
22 papers receiving 816 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Hardware and Architecture 198
- Industrial and Manufacturing Engineering 236
- Automotive Engineering 174
- Statistical and Nonlinear Physics 154
- Artificial Intelligence 330
Countries citing papers authored by Sujit Rokka Chhetri
This map shows the geographic impact of Sujit Rokka Chhetri'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 Sujit Rokka Chhetri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sujit Rokka Chhetri more than expected).
Fields of papers citing papers by Sujit Rokka Chhetri
This network shows the impact of papers produced by Sujit Rokka Chhetri. 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 Sujit Rokka Chhetri. The network helps show where Sujit Rokka Chhetri may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Sujit Rokka Chhetri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 10 | |
| 2 | 2020 | 1 | |
| 3 | 2020 | 31 | |
| 4 | 2019 | 10 | |
| 5 | 2019 | 17 | |
| 6 | 2019 | 50 | |
| 7 | dyngraph2vec: Capturing network dynamics using dynamic graph representation learningbreakdown → | 2019 | 278 |
| 8 | 2019 | 15 | |
| 9 | 2018 | 18 | |
| 10 | 2017 | 37 | |
| 11 | 2017 | 26 | |
| 12 | 2017 | 46 | |
| 13 | 2017 | 52 | |
| 14 | 2017 | 19 | |
| 15 | 2017 | 16 | |
| 16 | 2016 | 11 | |
| 17 | Novel Side-Channel Attack Model for Cyber-Physical Additive Manufacturing Systems | 2016 | 8 |
| 18 | 2016 | 65 | |
| 19 | 2015 | 3 | |
| 20 | 2015 | 1 |
About Sujit Rokka Chhetri
Sujit Rokka Chhetri is a scholar working on Hardware and Architecture, Industrial and Manufacturing Engineering and Automotive Engineering, having authored 22 papers that have together received 838 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (15 papers), Electrostatic Discharge in Electronics (6 papers), Additive Manufacturing and 3D Printing Technologies (6 papers), Digital Transformation in Industry (5 papers), Cryptographic Implementations and Security (4 papers), IoT and Edge/Fog Computing (3 papers), Advanced Memory and Neural Computing (2 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Hardware and Architecture (198 citations), Industrial and Manufacturing Engineering (236 citations) and Automotive Engineering (174 citations). Sujit Rokka Chhetri has collaborated with scholars based in United States, Nepal and Switzerland. Frequent co-authors include Arquimedes Canedo, Mohammad Abdullah Al Faruque, Palash Goyal, Sina Faezi, Wan Jiang, Nafiul Rashid, Arnav Vaibhav Malawade, Shih-Yuan Yu, William H. Grover and Francesco Regazzoni.
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.