Bicky Shakya

928 citations
18 papers · 494 · h-index 9

Impact in

Papers in

    • Integrated Circuits and Semiconductor Failure Analysis 14
    • Advanced Memory and Neural Computing 4
    • Advancements in Semiconductor Devices and Circuit Design 2
    • Physical Unclonable Functions (PUFs) and Hardware Security 15
    • VLSI and Analog Circuit Testing 1

Bicky Shakya

17 papers receiving 481 citations

Peers

Bicky Shakya
Comparison fields: 5 of 36
  • Hardware and Architecture 433
  • Cellular and Molecular Neuroscience 155
  • Signal Processing 68
  • Electrical and Electronic Engineering 359
  • Artificial Intelligence 118
Replace Lilas Alrahis with:
Lilas Alrahis United States
Nikolaos Athanasios Anagnostopoulos Germany
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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

18 of 18 papers shown
#Work
1 2017227
2 201954
3 201951
4 201839
5 201920
6 201720
7 201917
8 201917
9 201713
10 20168
11 20188
12 20157
13 20164
14 20173
15 20162
16
Development of an Electrolarynx Capable of Supporting Tonal Distinctions in Mandarin
20142
17 20192
18 20140

About Bicky Shakya

Bicky Shakya is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Cellular and Molecular Neuroscience, Artificial Intelligence and Automotive Engineering, having authored 18 papers that have together received 494 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (15 papers), Integrated Circuits and Semiconductor Failure Analysis (14 papers), Neuroscience and Neural Engineering (4 papers), Advanced Memory and Neural Computing (4 papers), Adversarial Robustness in Machine Learning (3 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers), Autonomous Vehicle Technology and Safety (1 paper) and VLSI and Analog Circuit Testing (1 paper). The work is most often cited by research in Hardware and Architecture (433 citations), Cellular and Molecular Neuroscience (155 citations), Signal Processing (68 citations), Electrical and Electronic Engineering (359 citations) and Artificial Intelligence (118 citations). Bicky Shakya has collaborated with scholars based in United States and Ireland. Frequent co-authors include Domenic Forte, Mark Tehranipoor, Swarup Bhunia, Hassan Salmani, Xue‐Zhong He, Xiaolin Xu, Fahim Rahman, Haoting Shen, Apostol 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, DOAJ (DOAJ: Directory of Open Access Journals) and Proceedings - International Symposium for Testing and Failure Analysis.

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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