Farhad Merchant

623 total citations
48 papers, 314 citations indexed

About

Farhad Merchant is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Cellular and Molecular Neuroscience. According to data from OpenAlex, Farhad Merchant has authored 48 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 27 papers in Hardware and Architecture and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in Farhad Merchant's work include Advanced Memory and Neural Computing (21 papers), Physical Unclonable Functions (PUFs) and Hardware Security (17 papers) and Ferroelectric and Negative Capacitance Devices (12 papers). Farhad Merchant is often cited by papers focused on Advanced Memory and Neural Computing (21 papers), Physical Unclonable Functions (PUFs) and Hardware Security (17 papers) and Ferroelectric and Negative Capacitance Devices (12 papers). Farhad Merchant collaborates with scholars based in Germany, India and United Kingdom. Farhad Merchant's co-authors include Rainer Leupers, Dominik Šišejković, Anupam Chattopadhyay, S. K. Nandy, Harshit Srivastava, Ahmed Hallawa, Ranjani Narayan, Sachin Patkar, Furqan Zahoor and Rainer Buchty and has published in prestigious journals such as Scientific Reports, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

In The Last Decade

Farhad Merchant

45 papers receiving 307 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Farhad Merchant Germany	10	188	180	82	58	45	48	314
Sachin Taneja Singapore	9	211 1.1×	199 1.1×	64 0.8×	57 1.0×	38 0.8×	26	314
Jiaji He China	11	315 1.7×	239 1.3×	154 1.9×	100 1.7×	20 0.4×	50	408
Md Tanvir Arafin United States	10	110 0.6×	177 1.0×	85 1.0×	30 0.5×	74 1.6×	25	298
Georg T. Becker Germany	11	351 1.9×	282 1.6×	123 1.5×	135 2.3×	28 0.6×	19	407
Nathalie Bochard France	7	180 1.0×	149 0.8×	95 1.2×	52 0.9×	22 0.5×	19	299
Fatemeh Tehranipoor United States	11	148 0.8×	117 0.7×	75 0.9×	37 0.6×	30 0.7×	30	244
Ranjani Narayan India	9	177 0.9×	64 0.4×	31 0.4×	12 0.2×	147 3.3×	46	261
Rickard Ewetz United States	10	89 0.5×	366 2.0×	136 1.7×	55 0.9×	43 1.0×	76	486
Takeshi Fujino Japan	11	245 1.3×	162 0.9×	232 2.8×	50 0.9×	46 1.0×	87	439

Countries citing papers authored by Farhad Merchant

Since Specialization

Citations

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

Fields of papers citing papers by Farhad Merchant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farhad Merchant

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

All Works

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20 of 20 papers shown

Wang, Wei, et al.. (2025). IMPACT: In-Memory ComPuting Architecture based on Y-FlAsh Technology for Coalesced Tsetlin machine inference. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 383(2288). 20230393–20230393. 1 indexed citations

Rana, Vikas, et al.. (2025). veriSiM: Formal Verification of SPICE Netlists for MAGIC-Based Logic-in-Memory. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 45(2). 845–854.

Corradi, Federico, et al.. (2025). Neuromorphic Edge Computing: Challenges, Opportunities, and Current Solutions. TU/e Research Portal. 1–7.

Leupers, Rainer, et al.. (2024). veriSIMPLER: An Automated Formal Verification Methodology for SIMPLER MAGIC Design Style Based In-Memory Computing. IEEE Transactions on Circuits and Systems I Regular Papers. 71(9). 4169–4179. 4 indexed citations

Rana, Vikas, et al.. (2024). MemSPICE: Automated Simulation and Energy Estimation Framework for MAGIC-Based Logic-in-Memory. 282–287. 2 indexed citations

Rana, Vikas, et al.. (2024). In-Memory Mirroring: Cloning Without Reading. 1–6.

Fey, Dietmar, Vikas Rana, Stephan Menzel, et al.. (2024). A flexible and fast digital twin for RRAM systems applied for training resilient neural networks. Scientific Reports. 14(1). 23695–23695. 3 indexed citations

Šišejković, Dominik, et al.. (2024). QTFlow: Quantitative Timing-Sensitive Information Flow for Security-Aware Hardware Design on RTL. 1–4. 1 indexed citations

Singh, Animesh, Dominik Šišejković, Sven Ingebrandt, et al.. (2023). Gate Camouflaging Using Reconfigurable ISFET-Based Threshold Voltage Defined Logic. 1–5. 1 indexed citations

10.

Merchant, Farhad, et al.. (2023). FPGA-based Deep Learning Inference Accelerators: Where Are We Standing?. ACM Transactions on Reconfigurable Technology and Systems. 16(4). 1–32. 22 indexed citations

11.

Zahoor, Furqan, et al.. (2023). Integrated Architecture for Neural Networks and Security Primitives using RRAM Crossbar. 1–5. 1 indexed citations

12.

Zahoor, Furqan, Usman Isyaku Bature, B. Srinivasu, et al.. (2023). Carbon nanotube field effect transistors: an overview of device structure, modeling, fabrication and applications. Physica Scripta. 98(8). 82003–82003. 20 indexed citations

13.

Zahoor, Furqan, et al.. (2023). PR-PUF: A Reconfigurable Strong RRAM PUF. 1–6. 1 indexed citations

14.

Ingebrandt, Sven, et al.. (2023). Logic operations in fluidics as foundation for embedded biohybrid computation. Device. 1(6). 100220–100220. 3 indexed citations

15.

Srinivasu, B., et al.. (2022). PA-PUF: A Novel Priority Arbiter PUF. 1–6. 6 indexed citations

16.

Šišejković, Dominik, et al.. (2021). Deceptive Logic Locking for Hardware Integrity Protection Against Machine Learning Attacks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(6). 1716–1729. 29 indexed citations

17.

Šišejković, Dominik, et al.. (2021). Challenging the Security of Logic Locking Schemes in the Era of Deep Learning: A Neuroevolutionary Approach. ACM Journal on Emerging Technologies in Computing Systems. 17(3). 1–26. 51 indexed citations

18.

Šišejković, Dominik, et al.. (2021). QFlow: Quantitative Information Flow for Security-Aware Hardware Design in Verilog. arXiv (Cornell University). 603–607. 10 indexed citations

19.

Merchant, Farhad, Anupam Chattopadhyay, Soumyendu Raha, et al.. (2019). Applying Modified Householder Transform to Kalman Filter. 8. 431–436. 1 indexed citations

20.

Merchant, Farhad, et al.. (2014). Efficient QR Decomposition Using Low Complexity Column-wise Givens Rotation (CGR). 258–263. 6 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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