Mohsen Imani

6.8k total citations · 1 hit paper
243 papers, 4.5k citations indexed

About

Mohsen Imani is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Mohsen Imani has authored 243 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 182 papers in Electrical and Electronic Engineering, 85 papers in Artificial Intelligence and 52 papers in Hardware and Architecture. Recurrent topics in Mohsen Imani's work include Ferroelectric and Negative Capacitance Devices (143 papers), Advanced Memory and Neural Computing (140 papers) and Neural Networks and Reservoir Computing (38 papers). Mohsen Imani is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (143 papers), Advanced Memory and Neural Computing (140 papers) and Neural Networks and Reservoir Computing (38 papers). Mohsen Imani collaborates with scholars based in United States, South Korea and China. Mohsen Imani's co-authors include Tajana Rosing, Tajana Rosing, Yeseong Kim, Saransh Gupta, Abbas Rahimi, Deqian Kong, Matthew Wright, Marc Juárez, Payap Sirinam and Sahand Salamat and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Biophysical Journal.

In The Last Decade

Mohsen Imani

223 papers receiving 4.5k citations

Hit Papers

Deep Fingerprinting 2018 2026 2020 2023 2018 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Deep Fingerprinting
    2018 297 citations Mohsen Imani, Marc Juárez et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohsen Imani United States 39 3.4k 1.7k 951 791 421 243 4.5k
Saibal Mukhopadhyay United States 39 4.4k 1.3× 912 0.5× 1.6k 1.7× 628 0.8× 730 1.7× 352 5.7k
Arijit Raychowdhury United States 42 4.9k 1.5× 1.1k 0.6× 878 0.9× 564 0.7× 383 0.9× 292 6.0k
Zhongfeng Wang China 30 1.9k 0.6× 1.1k 0.7× 397 0.4× 1.1k 1.3× 795 1.9× 352 3.4k
Anupam Chattopadhyay Singapore 26 1.3k 0.4× 1.2k 0.7× 795 0.8× 634 0.8× 326 0.8× 270 3.2k
Deliang Fan United States 33 2.3k 0.7× 1.2k 0.7× 498 0.5× 342 0.4× 538 1.3× 179 3.2k
Sudeep Pasricha United States 29 2.3k 0.7× 525 0.3× 1.3k 1.4× 1.9k 2.4× 251 0.6× 296 3.8k
Yoongu Kim United States 28 2.3k 0.7× 841 0.5× 2.5k 2.6× 2.1k 2.7× 384 0.9× 59 4.6k
Ajay Joshi United States 25 1.6k 0.5× 641 0.4× 654 0.7× 695 0.9× 183 0.4× 124 2.4k
Shaojun Wei China 32 2.2k 0.7× 1.2k 0.7× 1.3k 1.4× 1.1k 1.4× 1.4k 3.2× 381 4.4k
Shouyi Yin China 33 2.3k 0.7× 1.2k 0.7× 1.4k 1.4× 1.2k 1.5× 1.4k 3.3× 351 4.6k

Countries citing papers authored by Mohsen Imani

Since Specialization
Citations

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

Fields of papers citing papers by Mohsen Imani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohsen Imani

This figure shows the co-authorship network connecting the top 25 collaborators of Mohsen Imani. A scholar is included among the top collaborators of Mohsen Imani 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 Mohsen Imani. Mohsen Imani 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.
Chen, Zhiling, et al.. (2025). Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing. Computers & Electrical Engineering. 123. 110261–110261. 2 indexed citations
2.
Imani, Mohsen, et al.. (2025). Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring. Engineering Applications of Artificial Intelligence. 147. 110282–110282. 4 indexed citations
3.
Kwon, Hyuk‐Jun, et al.. (2024). Towards Forward-Only Learning for Hyperdimensional Computing. 1–2. 1 indexed citations
4.
Tabrizchi, Sepehr, et al.. (2024). OISA: Architecting an Optical In-Sensor Accelerator for Efficient Visual Computing. 1–6. 3 indexed citations
5.
Zou, Zhuowen, et al.. (2024). Efficient event-based robotic grasping perception using hyperdimensional computing. Internet of Things. 26. 101207–101207. 3 indexed citations
6.
Yin, Xunzhao, Franz Müller, Ann Franchesca Laguna, et al.. (2024). Deep random forest with ferroelectric analog content addressable memory. Science Advances. 10(23). eadk8471–eadk8471. 13 indexed citations
7.
Zou, Zhuowen, et al.. (2024). Efficient Exploration in Edge-Friendly Hyperdimensional Reinforcement Learning. 111–118. 1 indexed citations
8.
Xu, Weihong, Saransh Gupta, Justin Morris, et al.. (2024). Tri-HD: Energy-Efficient On-Chip Learning With In-Memory Hyperdimensional Computing. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(2). 525–539. 4 indexed citations
9.
Wan, Zishen, Kai Ni, Mohsen Imani, et al.. (2023). SEE-MCAM: Scalable Multi-Bit FeFET Content Addressable Memories for Energy Efficient Associative Search. 1–9. 11 indexed citations
10.
Chen, Ruimin, Manbir Sodhi, Mohsen Imani, et al.. (2023). Brain-inspired computing for in-process melt pool characterization in additive manufacturing. CIRP journal of manufacturing science and technology. 41. 380–390. 10 indexed citations
11.
Najafi, M. Hassan, et al.. (2023). Stochastic Computing for Reliable Memristive In-Memory Computation. 397–401. 2 indexed citations
12.
Zhuo, Cheng, Kai Ni, Mohsen Imani, et al.. (2022). Design of Ultracompact Content Addressable Memory Exploiting 1T-1MTJ Cell. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(5). 1450–1462. 13 indexed citations
13.
Gupta, Saransh, et al.. (2022). COSMO: Computing with Stochastic Numbers in Memory. ACM Journal on Emerging Technologies in Computing Systems. 18(2). 1–25. 3 indexed citations
14.
Morris, Justin, et al.. (2022). 𝖧𝗒𝖣𝖱𝖤𝖠: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System. ACM Transactions on Embedded Computing Systems. 21(6). 1–25. 15 indexed citations
15.
Li, Chao, Franz Müller, Tarek Ali, et al.. (2020). A Scalable Design of Multi-Bit Ferroelectric Content Addressable Memory for Data-Centric Computing. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 29.3.1–29.3.4. 62 indexed citations
16.
Imani, Mohsen, et al.. (2018). CANNA: neural network acceleration using configurable approximation on GPGPU. Asia and South Pacific Design Automation Conference. 682–689. 12 indexed citations
17.
Imani, Mohsen, et al.. (2018). Towards Predicting Efficient and Anonymous Tor Circuits. USENIX Security Symposium. 429–444. 2 indexed citations
18.
19.
Juárez, Marc, et al.. (2016). Toward an Efficient Website Fingerprinting Defense for Tor. Lecture notes in computer science. 9878. 27–46. 2 indexed citations
20.
Jafari, Mohsen A. & Mohsen Imani. (2014). Design A New Stable And Low Power Bandgap Reference Circuit Based On Fin-FET Device. International Journal of Technology Enhancements and Emerging Engineering Research. 2(9). 41–46. 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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