Prabuddha Chakraborty

879 total citations
41 papers, 559 citations indexed

About

Prabuddha Chakraborty is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Cellular and Molecular Neuroscience. According to data from OpenAlex, Prabuddha Chakraborty has authored 41 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 17 papers in Hardware and Architecture and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Prabuddha Chakraborty's work include Physical Unclonable Functions (PUFs) and Hardware Security (17 papers), Integrated Circuits and Semiconductor Failure Analysis (13 papers) and Neuroscience and Neural Engineering (11 papers). Prabuddha Chakraborty is often cited by papers focused on Physical Unclonable Functions (PUFs) and Hardware Security (17 papers), Integrated Circuits and Semiconductor Failure Analysis (13 papers) and Neuroscience and Neural Engineering (11 papers). Prabuddha Chakraborty collaborates with scholars based in United States, India and Germany. Prabuddha Chakraborty's co-authors include Swarup Bhunia, Jonathan Cruz, Tamzidul Hoque, Richard T. Scalettar, Robert Parker, Lili Du, Shuo Wang, S. M. Girvin, Anders W. Sandvik and P. Henelius and has published in prestigious journals such as Physical Review Letters, Physical Review B and Scientific Reports.

In The Last Decade

Prabuddha Chakraborty

37 papers receiving 547 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Prabuddha Chakraborty United States 12 307 233 125 103 89 41 559
You Wang China 16 620 2.0× 115 0.5× 16 0.1× 277 2.7× 48 0.5× 66 856
Rajendra Bishnoi Germany 18 909 3.0× 259 1.1× 33 0.3× 436 4.2× 61 0.7× 62 1.1k
Rino Micheloni Italy 19 564 1.8× 251 1.1× 9 0.1× 36 0.3× 118 1.3× 65 1.1k
A. Yu. Romanov Russia 11 108 0.4× 99 0.4× 22 0.2× 33 0.3× 31 0.3× 77 337
Ashok Jagannathan United States 14 323 1.1× 225 1.0× 26 0.2× 22 0.2× 56 0.6× 24 589
Yvain Thonnart France 19 811 2.6× 406 1.7× 9 0.1× 76 0.7× 120 1.3× 65 1.0k
Raffaele De Rose Italy 17 674 2.2× 89 0.4× 37 0.3× 244 2.4× 29 0.3× 64 749
Po-Hui Yang Taiwan 11 549 1.8× 219 0.9× 19 0.2× 9 0.1× 38 0.4× 60 648
Mojtaba Ebrahimi Germany 22 1.1k 3.6× 449 1.9× 34 0.3× 362 3.5× 55 0.6× 61 1.3k
Shuai Chen China 11 166 0.5× 131 0.6× 120 1.0× 15 0.1× 61 0.7× 57 408

Countries citing papers authored by Prabuddha Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Prabuddha Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabuddha Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Prabuddha Chakraborty. A scholar is included among the top collaborators of Prabuddha Chakraborty 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 Prabuddha Chakraborty. Prabuddha Chakraborty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sugunaraj, Niroop, Utku Köse, Prabuddha Chakraborty, et al.. (2025). Distributed Energy Resource Management System (DERMS) Cybersecurity Scenarios, Trends, and Potential Technologies: A Review. IEEE Communications Surveys & Tutorials. 28. 224–277. 4 indexed citations
2.
3.
Devabhaktuni, Vijay, et al.. (2025). A framework for mitigating malicious RLHF feedback in LLM training using consensus based reward. Scientific Reports. 15(1). 9177–9177. 2 indexed citations
4.
Bhunia, Swarup, et al.. (2024). X-DFS: Explainable Artificial Intelligence Guided Design-for-Security Solution Space Exploration. IEEE Transactions on Information Forensics and Security. 20. 753–766. 1 indexed citations
5.
Chakraborty, Prabuddha, et al.. (2024). In-situ particle analysis with heterogeneous background: a machine learning approach. Scientific Reports. 14(1). 10609–10609. 5 indexed citations
6.
Chakraborty, Prabuddha, et al.. (2023). Understanding the Innovations Required for a Green & Secure Artificial Intelligence Paradigm. 1–6. 2 indexed citations
7.
Chakraborty, Prabuddha, et al.. (2023). Hardware Specification Aware Timing Side Channel Security Analysis. 1–6.
8.
Cruz, Jonathan, et al.. (2023). Hardware IP Assurance against Trojan Attacks with Machine Learning and Post-processing. ACM Journal on Emerging Technologies in Computing Systems. 19(3). 1–23. 10 indexed citations
9.
Chakraborty, Prabuddha. (2022). Automatic Software Timing Attack Evaluation & Mitigation on Clear Hardware Assumption. 1–3. 1 indexed citations
10.
Chakraborty, Prabuddha, et al.. (2022). Pasteables: A Flexible and Smart “Stick-and-Peel” Wearable Platform for Fitness and Athletics. IEEE Consumer Electronics Magazine. 13(6). 17–27. 9 indexed citations
11.
Cruz, Jonathan, et al.. (2022). Trojan Resilient Computing in COTS Processors Under Zero Trust. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 30(10). 1412–1424. 6 indexed citations
12.
13.
Chakraborty, Prabuddha, et al.. (2022). VIPR-PCB. Proceedings of the 59th ACM/IEEE Design Automation Conference. 793–798. 2 indexed citations
14.
Chakraborty, Prabuddha & Swarup Bhunia. (2021). BINGO: brain-inspired learning memory. Neural Computing and Applications. 34(4). 3223–3247. 3 indexed citations
15.
Chakraborty, Prabuddha, Jonathan Cruz, & Swarup Bhunia. (2019). SURF: Joint Structural Functional Attack on Logic Locking. 25 indexed citations
16.
Hoque, Tamzidul, Jonathan Cruz, Prabuddha Chakraborty, & Swarup Bhunia. (2018). Hardware IP Trust Validation: Learn (the Untrustworthy), and Verify. 37 indexed citations
17.
Chakraborty, Prabuddha, Jonathan Cruz, & Swarup Bhunia. (2018). SAIL: Machine Learning Guided Structural Analysis Attack on Hardware Obfuscation. 56–61. 89 indexed citations
18.
Kumar, Sanjeev & Prabuddha Chakraborty. (2015). Suppression of s-wave superconductivity by kinetic disorder in a two-dimensional attractive Hubbard model. The European Physical Journal B. 88(3). 1 indexed citations
19.
Chakraborty, Prabuddha, Krzysztof Byczuk, & D. Vollhardt. (2011). Interacting lattice electrons with disorder in two dimensions: Numerical evidence for a metal-insulator transition with a universal critical conductivity. Physical Review B. 84(3). 11 indexed citations
20.
Chiesa, Simone, Prabuddha Chakraborty, Warren E. Pickett, & Richard T. Scalettar. (2008). Disorder-Induced Stabilization of the Pseudogap in Strongly Correlated Systems. Physical Review Letters. 101(8). 86401–86401. 39 indexed citations

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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