Bicky Shakya

946 citations
19 papers · 734 · h-index 11

Impact in

Papers in

Bicky Shakya

18 papers receiving 713 citations

Peers

Bicky Shakya
Comparison fields: 5 of 37
  • Hardware and Architecture 657
  • Cellular and Molecular Neuroscience 237
  • Electrical and Electronic Engineering 549
  • Signal Processing 96
  • Artificial Intelligence 180
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Citations per field
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Citations per year

Countries citing papers authored by Bicky Shakya

Since Specialization
Citations

This map shows the geographic impact of Bicky Shakya'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 Bicky Shakya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bicky Shakya more than expected).

Fields of papers citing papers by Bicky Shakya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bicky Shakya. 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 Bicky Shakya. The network helps show where Bicky Shakya may publish in the future.

Co-authors

The 20 scholars most cited alongside Bicky Shakya, 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 Bicky Shakya Line = papers co-authored together Bicky Shakya links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2017259
2 2017130
3 201970
4 201955
5 201846
6 201731
7 201726
8 201924
9 201920
10 201919
11 201716
12 20169
13 20189
14 20166
15 20156
16 20173
17 20163
18 20192
19 20140

About Bicky Shakya

Bicky Shakya is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering, Cellular and Molecular Neuroscience, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 19 papers that have together received 734 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (17 papers), Integrated Circuits and Semiconductor Failure Analysis (16 papers), Neuroscience and Neural Engineering (5 papers), Adversarial Robustness in Machine Learning (4 papers), Advanced Memory and Neural Computing (4 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers), Industrial Vision Systems and Defect Detection (1 paper) and Transition Metal Oxide Nanomaterials (1 paper). The work is most often cited by research in Hardware and Architecture (657 citations), Cellular and Molecular Neuroscience (237 citations), Electrical and Electronic Engineering (549 citations), Signal Processing (96 citations) and Artificial Intelligence (180 citations). Bicky Shakya has collaborated with scholars based in United States and Ireland. Frequent co-authors include Domenic J. Forte, Mark Tehranipoor, Xiaolin Xu, Swarup Bhunia, Hassan Salmani, Xue-Zhong 'Tony' He, Fahim Rahman, Haoting Shen, Apostol T. Vassilev and Yier Jin. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IACR Transactions on Cryptographic Hardware and Embedded Systems, ACM Transactions on Design Automation of Electronic Systems, Lecture notes in computer science and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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