Mojan Javaheripi

617 citations
22 papers · 191 · h-index 9

Impact in

Papers in

Mojan Javaheripi

19 papers receiving 187 citations

Peers

Mojan Javaheripi
Comparison fields: 5 of 43
  • Hardware and Architecture 31
  • Artificial Intelligence 110
  • Signal Processing 22
  • Computer Vision and Pattern Recognition 34
  • Electrical and Electronic Engineering 86
Replace Zain Ul Abideen with:
Zain Ul Abideen Pakistan
Siyuan Ma China
Hongyin Luo China
K. P. Kaliyamurthie India
Ruchika Gupta India
Gonzalo Salgueiro United States
Sanghyun Hong United States
Nuo Xu United States
Varsha Bendre India
Mojan Javaheripi relative to Zain Ul Abideen Pakistan Zain Ul Abideen's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Mojan Javaheripi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mojan Javaheripi Line = papers co-authored together Mojan Javaheripi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201828
2 201925
3 202220
4 202119
5 202119
6 201916
7 201910
8 202310
9 202310
10 20207
11 20206
12 20205
13 20225
14 20213
15 20202
16 20232
17 20232
18 20201
19 20231
20 20230

About Mojan Javaheripi

Mojan Javaheripi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Hardware and Architecture and Signal Processing, having authored 22 papers that have together received 191 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (8 papers), Advanced Neural Network Applications (7 papers), Physical Unclonable Functions (PUFs) and Hardware Security (4 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Memory and Neural Computing (3 papers), Machine Learning and Data Classification (3 papers), Ferroelectric and Negative Capacitance Devices (2 papers) and Cryptography and Data Security (2 papers). The work is most often cited by research in Hardware and Architecture (31 citations), Artificial Intelligence (110 citations), Signal Processing (22 citations), Computer Vision and Pattern Recognition (34 citations) and Electrical and Electronic Engineering (86 citations). Mojan Javaheripi has collaborated with scholars based in United States, Switzerland and Kazakhstan. Frequent co-authors include Farinaz Koushanfar, Mohammad Samragh, Bita Darvish Rouhani, Tara Javidi, Siam U. Hussain, Mohsen Imani, Xinyu Wu, Tajana Rosing, Nicole N. Hashemi and Reza Montazami. Their work appears in journals such as IEEE Journal on Emerging and Selected Topics in Circuits and Systems, IEEE Solid-State Circuits Magazine, ACM Journal on Emerging Technologies in Computing Systems, ACM Transactions on Embedded Computing Systems and IEEE Transactions on Dependable and Secure Computing.

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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