Mojan Javaheripi

601 total citations
22 papers, 177 citations indexed

About

Mojan Javaheripi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Mojan Javaheripi has authored 22 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Mojan Javaheripi's work include Adversarial Robustness in Machine Learning (8 papers), Advanced Neural Network Applications (7 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (4 papers). Mojan Javaheripi is often cited by papers focused on Adversarial Robustness in Machine Learning (8 papers), Advanced Neural Network Applications (7 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (4 papers). Mojan Javaheripi collaborates with scholars based in United States, Switzerland and Kazakhstan. Mojan Javaheripi's co-authors include Farinaz Koushanfar, Mohammad Samragh, Bita Darvish Rouhani, Tara Javidi, Siam U. Hussain, Xinyu Wu, Nicole N. Hashemi, Mohsen Imani, Reza Montazami and Ryan Kastner and has published in prestigious journals such as Biosensors and Bioelectronics, IEEE Journal of Selected Topics in Signal Processing and IEEE Transactions on Dependable and Secure Computing.

In The Last Decade

Mojan Javaheripi

19 papers receiving 173 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mojan Javaheripi United States 9 99 82 31 28 20 22 177
Peter Pessl Austria 9 142 1.4× 69 0.8× 42 1.4× 36 1.3× 11 0.6× 13 211
Evgenii Krouk Russia 7 70 0.7× 88 1.1× 22 0.7× 5 0.2× 17 0.8× 22 156
Arjun Chaudhuri United States 10 48 0.5× 233 2.8× 17 0.5× 111 4.0× 9 0.5× 47 279
Jeong-Won Cha South Korea 10 203 2.1× 70 0.9× 16 0.5× 8 0.3× 5 0.3× 33 290
Nikhil Mishra India 7 68 0.7× 37 0.5× 39 1.3× 4 0.1× 7 0.3× 23 140
Shaojun Wei China 9 53 0.5× 132 1.6× 43 1.4× 90 3.2× 7 0.3× 32 244
Martine Lenders Germany 5 25 0.3× 62 0.8× 15 0.5× 19 0.7× 24 1.2× 8 173
Shangqing Zhao United States 8 158 1.6× 67 0.8× 22 0.7× 3 0.1× 32 1.6× 26 247
Markus Happe Germany 9 48 0.5× 120 1.5× 47 1.5× 129 4.6× 21 1.1× 18 277
Hongyin Luo China 7 164 1.7× 9 0.1× 55 1.8× 17 0.6× 10 0.5× 27 231

Countries citing papers authored by Mojan Javaheripi

Since Specialization
Citations

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

Fields of papers citing papers by Mojan Javaheripi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mojan Javaheripi

This figure shows the co-authorship network connecting the top 25 collaborators of Mojan Javaheripi. A scholar is included among the top collaborators of Mojan Javaheripi 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 Mojan Javaheripi. Mojan Javaheripi 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.
Zhang, Chuxu, Dongkuan Xu, Kaize Ding, et al.. (2024). RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery. 6749–6750.
2.
Zhang, Chuxu, Dongkuan Xu, Mojan Javaheripi, et al.. (2023). RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. 5901–5902.
3.
Chang, Jung-Woo, Mojan Javaheripi, & Farinaz Koushanfar. (2023). VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality. 1–6. 1 indexed citations
4.
Chen, Huili, et al.. (2023). Systemization of Knowledge: Robust Deep Learning using Hardware-software co-design in Centralized and Federated Settings. ACM Transactions on Design Automation of Electronic Systems. 28(6). 1–32. 2 indexed citations
5.
Javaheripi, Mojan, et al.. (2023). AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs. 1–6. 1 indexed citations
6.
Ghodsi, Zahra, et al.. (2023). zPROBE: Zero Peek Robustness Checks for Federated Learning. 4837–4847. 8 indexed citations
7.
Javaheripi, Mojan, et al.. (2022). Machine learning-assisted E-jet printing for manufacturing of organic flexible electronics. Biosensors and Bioelectronics. 212. 114418–114418. 20 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.
Hussain, Siam U., Mojan Javaheripi, Mohammad Samragh, & Farinaz Koushanfar. (2021). COINN: Crypto/ML Codesign for Oblivious Inference via Neural Networks. 3266–3281. 17 indexed citations
10.
Javaheripi, Mojan & Farinaz Koushanfar. (2021). HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks. 1–9. 18 indexed citations
11.
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
12.
Javaheripi, Mojan, Mohammad Samragh, Tara Javidi, & Farinaz Koushanfar. (2020). AdaNS: Adaptive Non-Uniform Sampling for Automated Design of Compact DNNs. IEEE Journal of Selected Topics in Signal Processing. 14(4). 750–764. 5 indexed citations
13.
Samragh, Mohammad, Mojan Javaheripi, & Farinaz Koushanfar. (2020). EncoDeep. ACM Transactions on Embedded Computing Systems. 19(6). 1–29. 7 indexed citations
14.
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
15.
Javaheripi, Mojan, Mohammad Samragh, Tara Javidi, & Farinaz Koushanfar. (2020). GeneCAI: Genetic Evolution for Acquiring Compact AI. arXiv (Cornell University). 350–358. 2 indexed citations
16.
Javaheripi, Mojan, Huili Chen, & Farinaz Koushanfar. (2020). Unified Architectural Support for Secure and Robust Deep Learning. 1–6. 1 indexed citations
17.
Javaheripi, Mojan, et al.. (2019). FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA. arXiv (Cornell University). 1–8. 16 indexed citations
18.
Imani, Mohsen, Mojan Javaheripi, Bita Darvish Rouhani, et al.. (2019). SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–8. 24 indexed citations
19.
Javaheripi, Mojan, Mohammad Samragh, & Farinaz Koushanfar. (2019). Peeking Into the Black Box: A Tutorial on Automated Design Optimization and Parameter Search. IEEE Solid-State Circuits Magazine. 11(4). 23–28. 9 indexed citations
20.
Rouhani, Bita Darvish, Mohammad Samragh, Mojan Javaheripi, Tara Javidi, & Farinaz Koushanfar. (2018). DeepFense. 1–8. 26 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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