Bita Darvish Rouhani

1.8k total citations
33 papers, 748 citations indexed

About

Bita Darvish Rouhani is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Bita Darvish Rouhani has authored 33 papers receiving a total of 748 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Bita Darvish Rouhani's work include Adversarial Robustness in Machine Learning (9 papers), Advanced Neural Network Applications (9 papers) and Anomaly Detection Techniques and Applications (8 papers). Bita Darvish Rouhani is often cited by papers focused on Adversarial Robustness in Machine Learning (9 papers), Advanced Neural Network Applications (9 papers) and Anomaly Detection Techniques and Applications (8 papers). Bita Darvish Rouhani collaborates with scholars based in United States, Malaysia and Hong Kong. Bita Darvish Rouhani's co-authors include Farinaz Koushanfar, M. Sadegh Riazi, Huili Chen, Azalia Mirhoseini, Jishen Zhao, Cheng Fu, Ebrahim M. Songhori, Mojan Javaheripi, Tara Javidi and Mohammad Samragh and has published in prestigious journals such as IEEE Transactions on Dependable and Secure Computing, ACM SIGMETRICS Performance Evaluation Review and IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

In The Last Decade

Bita Darvish Rouhani

29 papers receiving 731 citations

Peers

Bita Darvish Rouhani

CVPR

EEE

Abhimanu Kumar United States

M. Sadegh Riazi United States

Woosuk Kwon South Korea

Deepak Narayanan United States

Hyunsoo Yoon South Korea

Nathan Dowlin United States

Jinyang Li United States

Wencong Xiao China

Xupeng Miao China

Josep Balasch Belgium

Abhimanu Kumar United States

Bita Darvish Rouhani

394 ×0.7

200 ×0.8

CVPR

61 ×0.5

EEE

64 ×0.6

26 ×0.4

Citations per year, relative to Bita Darvish Rouhani Bita Darvish Rouhani (= 1×) peers Abhimanu Kumar

Countries citing papers authored by Bita Darvish Rouhani

Since Specialization

Citations

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

Fields of papers citing papers by Bita Darvish Rouhani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bita Darvish Rouhani. 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 Bita Darvish Rouhani. The network helps show where Bita Darvish Rouhani may publish in the future.

Co-authorship network of co-authors of Bita Darvish Rouhani

This figure shows the co-authorship network connecting the top 25 collaborators of Bita Darvish Rouhani. A scholar is included among the top collaborators of Bita Darvish Rouhani 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 Bita Darvish Rouhani. Bita Darvish Rouhani 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

Wei, Tianxin, Ritchie Zhao, Girish V. Varatkar, et al.. (2025). ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration. ArXiv.org. 1–12.

Chen, Huili, Cheng Fu, Bita Darvish Rouhani, Jishen Zhao, & Farinaz Koushanfar. (2023). Intellectual Property Protection of Deep-Learning Systems via Hardware/Software Co-Design. IEEE Design and Test. 41(2). 23–31. 2 indexed citations

Javaheripi, Mojan, Bita Darvish Rouhani, & Farinaz Koushanfar. (2021). SWANN: Small-World Architecture for Fast Convergence of Neural Networks. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 11(4). 575–585. 1 indexed citations

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

Rouhani, Bita Darvish, Huili Chen, & Farinaz Koushanfar. (2019). DeepSigns: An End-to-End Watermarking Framework for Protecting the Ownership of Deep Neural Networks. 12 indexed citations

Chen, Huili, Cheng Fu, Bita Darvish Rouhani, Jishen Zhao, & Farinaz Koushanfar. (2019). DeepAttest. 487–498. 27 indexed citations

Rouhani, Bita Darvish, Mohammad Samragh, Tara Javidi, & Farinaz Koushanfar. (2018). Safe Machine Learning and Defeating Adversarial Attacks. 2 indexed citations

Hussain, Siam U., Bita Darvish Rouhani, Mohammad Ghasemzadeh, & Farinaz Koushanfar. (2018). MAXelerator. 1–6. 10 indexed citations

Rouhani, Bita Darvish, Mohammad Samragh, Mojan Javaheripi, Tara Javidi, & Farinaz Koushanfar. (2018). DeepFense. 1–8. 26 indexed citations

10.

Rouhani, Bita Darvish, Siam U. Hussain, Kristin Lauter, & Farinaz Koushanfar. (2018). ReDCrypt. ACM Transactions on Reconfigurable Technology and Systems. 11(3). 1–21. 8 indexed citations

11.

Rouhani, Bita Darvish, Mohammad Ghasemzadeh, & Farinaz Koushanfar. (2018). CausaLearn. 1–10. 5 indexed citations

12.

Rouhani, Bita Darvish, Mohammad Samragh, Tara Javidi, & Farinaz Koushanfar. (2017). CuRTAIL: ChaRacterizing and Thwarting AdversarIal deep Learning. 4 indexed citations

13.

Rouhani, Bita Darvish, Azalia Mirhoseini, & Farinaz Koushanfar. (2017). Deep3. 1–6. 13 indexed citations

14.

Rouhani, Bita Darvish, Azalia Mirhoseini, Ebrahim M. Songhori, & Farinaz Koushanfar. (2016). Automated Real-Time Analysis of Streaming Big and Dense Data on Reconfigurable Platforms. ACM Transactions on Reconfigurable Technology and Systems. 10(1). 1–22. 8 indexed citations

15.

Mirhoseini, Azalia, Bita Darvish Rouhani, Ebrahim M. Songhori, & Farinaz Koushanfar. (2016). Perform-ML. 1–6. 11 indexed citations

16.

Rouhani, Bita Darvish, Azalia Mirhoseini, Ebrahim M. Songhori, & Farinaz Koushanfar. (2016). Automated Analysis of Streaming Big and Dense Data on Reconfigurable Platforms. 1 indexed citations

17.

Mirhoseini, Azalia, Ebrahim M. Songhori, Bita Darvish Rouhani, & Farinaz Koushanfar. (2015). Flexible Transformations For Learning Big Data. 453–454. 2 indexed citations

18.

Mahrin, Mohd Naz’ri, et al.. (2015). An Effectiveness Model for Enterprise Architecture Methodologies. International Journal of Enterprise Information Systems. 11(2). 50–64. 3 indexed citations

19.

Rouhani, Bita Darvish, Ebrahim M. Songhori, Azalia Mirhoseini, & Farinaz Koushanfar. (2015). SSketch: An Automated Framework for Streaming Sketch-Based Analysis of Big Data on FPGA. 187–194. 21 indexed citations

20.

Mirhoseini, Azalia, Ebrahim M. Songhori, Bita Darvish Rouhani, & Farinaz Koushanfar. (2015). Flexible Transformations For Learning Big Data. ACM SIGMETRICS Performance Evaluation Review. 43(1). 453–454. 1 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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