Mojan Javaheripi

601 citations
22 papers · 177 · h-index 9

Impact in

Papers in

Mojan Javaheripi

19 papers receiving 173 citations

Peers

Mojan Javaheripi
Comparison fields: 5 of 42
  • Hardware and Architecture 28
  • Artificial Intelligence 99
  • Signal Processing 20
  • Computer Vision and Pattern Recognition 31
  • Electrical and Electronic Engineering 82
Replace Peter Pessl with:
Peter Pessl Austria
Sanghyun Hong United States
Zahra Ghodsi United States
Hongyin Luo China
Jan Rüth Germany
Edward Chou United States
Nuo Xu United States
Jeong-Won Cha South Korea
Evgenii Krouk Russia
Samuel Weiser Austria
Mojan Javaheripi relative to Peter Pessl Austria Peter Pessl'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 201826
2 201924
3 202220
4 202118
5 202117
6 201916
7 20199
8 20239
9 20238
10 20207
11 20206
12 20205
13 20224
14 20202
15 20232
16 20231
17 20201
18 20231
19 20211
20 20240

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 177 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), Machine Learning and Data Classification (3 papers), Anomaly Detection Techniques and Applications (3 papers), Advanced Memory and Neural Computing (3 papers), Parallel Computing and Optimization Techniques (2 papers) and Cryptography and Data Security (2 papers). The work is most often cited by research in Hardware and Architecture (28 citations), Artificial Intelligence (99 citations), Signal Processing (20 citations), Computer Vision and Pattern Recognition (31 citations) and Electrical and Electronic Engineering (82 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, Ryan Kastner and Nicole N. Hashemi. Their work appears in journals such as IEEE Journal on Emerging and Selected Topics in Circuits and Systems, IEEE Journal of Selected Topics in Signal Processing, IEEE Solid-State Circuits Magazine, ACM Transactions on Embedded Computing Systems and ACM Transactions on Design Automation of Electronic Systems.

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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