Farinaz Koushanfar

23.2k total citations · 5 hit papers
254 papers, 11.5k citations indexed

About

Farinaz Koushanfar is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Farinaz Koushanfar has authored 254 papers receiving a total of 11.5k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Hardware and Architecture, 113 papers in Electrical and Electronic Engineering and 106 papers in Artificial Intelligence. Recurrent topics in Farinaz Koushanfar's work include Physical Unclonable Functions (PUFs) and Hardware Security (80 papers), Integrated Circuits and Semiconductor Failure Analysis (48 papers) and Adversarial Robustness in Machine Learning (35 papers). Farinaz Koushanfar is often cited by papers focused on Physical Unclonable Functions (PUFs) and Hardware Security (80 papers), Integrated Circuits and Semiconductor Failure Analysis (48 papers) and Adversarial Robustness in Machine Learning (35 papers). Farinaz Koushanfar collaborates with scholars based in United States, Germany and Switzerland. Farinaz Koushanfar's co-authors include Miodrag Potkonjak, Mohammad Tehranipoor, Mani Srivastava, Srinivas Devadas, Saro Meguerdichian, Mehrdad Majzoobi, Igor L. Markov, Jarrod A. Roy, Masoud Rostami and Yousra Alkabani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and IEEE Transactions on Signal Processing.

In The Last Decade

Farinaz Koushanfar

241 papers receiving 11.0k citations

Hit Papers

Coverage problems in wire... 2001 2026 2009 2017 2002 2010 2014 2001 2014 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Farinaz Koushanfar United States 46 6.6k 6.0k 3.2k 3.1k 2.3k 254 11.5k
Ramesh Karri United States 53 6.6k 1.0× 6.8k 1.1× 3.3k 1.0× 1.3k 0.4× 2.1k 0.9× 418 10.8k
Miodrag Potkonjak United States 53 6.7k 1.0× 6.7k 1.1× 1.6k 0.5× 5.7k 1.9× 1.0k 0.4× 419 12.9k
Hai Li United States 52 6.8k 1.0× 1.9k 0.3× 2.5k 0.8× 2.0k 0.7× 1.2k 0.5× 467 10.1k
Yier Jin United States 37 3.1k 0.5× 3.7k 0.6× 2.3k 0.7× 987 0.3× 1.2k 0.5× 214 5.7k
Anand Raghunathan United States 61 8.4k 1.3× 6.1k 1.0× 2.4k 0.7× 4.5k 1.5× 184 0.1× 400 14.0k
Francky Catthoor Belgium 46 5.5k 0.8× 5.5k 0.9× 1.0k 0.3× 4.9k 1.6× 226 0.1× 892 11.3k
Muhammad Shafique Germany 42 4.1k 0.6× 3.2k 0.5× 1.0k 0.3× 2.2k 0.7× 162 0.1× 448 7.3k
Xiaobo Sharon Hu United States 47 5.2k 0.8× 2.9k 0.5× 1.1k 0.4× 1.9k 0.6× 286 0.1× 492 9.0k
Massoud Pedram United States 64 14.0k 2.1× 7.6k 1.3× 1.5k 0.5× 5.0k 1.6× 121 0.1× 887 19.7k
Jörg Henkel Germany 42 4.9k 0.7× 5.2k 0.9× 739 0.2× 3.7k 1.2× 65 0.0× 546 9.1k

Countries citing papers authored by Farinaz Koushanfar

Since Specialization
Citations

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

Fields of papers citing papers by Farinaz Koushanfar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Farinaz Koushanfar

This figure shows the co-authorship network connecting the top 25 collaborators of Farinaz Koushanfar. A scholar is included among the top collaborators of Farinaz Koushanfar 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 Farinaz Koushanfar. Farinaz Koushanfar 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
2.
Chen, Huili, Hossein Fereidooni, Jan König, et al.. (2023). Smarter Contracts: Detecting Vulnerabilities in Smart Contracts with Deep Transfer Learning. TUbilio (Technical University of Darmstadt). 37 indexed citations
3.
Lončar, Vladimir, et al.. (2023). Tailor : Altering Skip Connections for Resource-Efficient Inference. ACM Transactions on Reconfigurable Technology and Systems. 17(1). 1–23. 4 indexed citations
4.
Lim, Jeong-Min, Young Geun Kim, Sung Woo Chung, Farinaz Koushanfar, & Joonho Kong. (2023). Near-Memory Computing With Compressed Embedding Table for Personalized Recommendation. IEEE Transactions on Emerging Topics in Computing. 12(3). 938–951. 1 indexed citations
5.
Lončar, Vladimir, et al.. (2023). Adapting Skip Connections for Resource-Efficient FPGA Inference. 229–229. 2 indexed citations
6.
Zhang, Xinqiao, Mohammad Samragh, Siam U. Hussain, Ke Huang, & Farinaz Koushanfar. (2023). Scalable Binary Neural Network Applications in Oblivious Inference. ACM Transactions on Embedded Computing Systems. 23(3). 1–18.
7.
Xiong, Wenjie, Nikolaos Athanasios Anagnostopoulos, André Schaller, et al.. (2023). Abusing Commodity DRAMs in IoT Devices to Remotely Spy on Temperature. IEEE Transactions on Information Forensics and Security. 18. 2991–3005. 3 indexed citations
8.
Javaheripi, Mojan, Mohammad Samragh, & Farinaz Koushanfar. (2021). AutoRank: Automated Rank Selection for Effective Neural Network Customization. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 11(4). 611–619.
9.
Samragh, Mohammad, Mojan Javaheripi, & Farinaz Koushanfar. (2020). EncoDeep. ACM Transactions on Embedded Computing Systems. 19(6). 1–29. 7 indexed citations
10.
Javaheripi, Mojan, Mohammad Samragh, Bita Darvish Rouhani, Tara Javidi, & Farinaz Koushanfar. (2020). CuRTAIL: ChaRacterizing and Thwarting AdversarIal Deep Learning. IEEE Transactions on Dependable and Secure Computing. 18(2). 736–752. 6 indexed citations
11.
Riazi, M. Sadegh, Mohammad Samragh, Hao Chen, et al.. (2019). XONN: XNOR-based oblivious deep neural network inference. USENIX Security Symposium. 1501–1518. 36 indexed citations
12.
Dubnov, Shlomo, et al.. (2018). Adversarial Reprogramming of Sequence Classification Neural Networks.. arXiv (Cornell University). 4 indexed citations
13.
Mirhoseini, Azalia, Ebrahim M. Songhori, Bita Darvish Rouhani, & Farinaz Koushanfar. (2015). Flexible Transformations For Learning Big Data. 453–454. 2 indexed citations
14.
Munir, Arslan & Farinaz Koushanfar. (2014). D2Cyber: a design automation tool for dependable cybercars. Design, Automation, and Test in Europe. 58.
15.
Markov, Igor L., et al.. (2013). ClockPUF: physical unclonable functions based on clock networks. Design, Automation, and Test in Europe. 422–427. 12 indexed citations
16.
Mirhoseini, Azalia, Ebrahim M. Songhori, & Farinaz Koushanfar. (2013). Automated checkpointing for enabling intensive applications on energy harvesting devices. 27–32. 15 indexed citations
17.
Mirhoseini, Azalia & Farinaz Koushanfar. (2011). Learning to manage combined energy supply systems. 229–234. 5 indexed citations
18.
Alkabani, Yousra, Farinaz Koushanfar, & Miodrag Potkonjak. (2007). Remote activation of ICs for piracy prevention and digital right management. International Conference on Computer Aided Design. 674–677. 106 indexed citations
19.
Koushanfar, Farinaz, Miodrag Potkonjak, & Alberto Sangiovanni‐Vincentelli. (2007). Fault Tolerance in Wireless Ad-Hoc Sensor Networks. Center for Embedded Network Sensing. 33 indexed citations
20.
Alkabani, Yousra & Farinaz Koushanfar. (2007). Active hardware metering for intellectual property protection and security. USENIX Security Symposium. 20. 218 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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