Behnam Ghavami

888 citations
79 papers · 587 · h-index 11

Impact in

Papers in

    • Low-power high-performance VLSI design 40
    • Radiation Effects in Electronics 27
    • Advancements in Semiconductor Devices and Circuit Design 24
    • Semiconductor materials and devices 14
    • VLSI and FPGA Design Techniques 8
    • Integrated Circuits and Semiconductor Failure Analysis 7
    • VLSI and Analog Circuit Testing 21

Behnam Ghavami

69 papers receiving 563 citations

Peers

Behnam Ghavami
Comparison fields: 5 of 46
  • Hardware and Architecture 162
  • Computer Vision and Pattern Recognition 178
  • Electrical and Electronic Engineering 327
  • Software 18
  • Artificial Intelligence 117
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Citations per field
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Citations per year

Countries citing papers authored by Behnam Ghavami

Since Specialization
Citations

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

Fields of papers citing papers by Behnam Ghavami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Behnam Ghavami, 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 Behnam Ghavami Line = papers co-authored together Behnam Ghavami links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019156
2 201944
3 201133
4 202233
5 201917
6 201616
7 202015
8 201913
9 202313
10 201713
11 200812
12 201510
13 201010
14 20139
15 20209
16 20099
17 20208
18 20168
19 20088
20 20148

About Behnam Ghavami

Behnam Ghavami is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications and Molecular Biology, having authored 79 papers that have together received 587 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (40 papers), Radiation Effects in Electronics (27 papers), Advancements in Semiconductor Devices and Circuit Design (24 papers), VLSI and Analog Circuit Testing (21 papers), Semiconductor materials and devices (14 papers), VLSI and FPGA Design Techniques (8 papers), Integrated Circuits and Semiconductor Failure Analysis (7 papers) and Adversarial Robustness in Machine Learning (6 papers). The work is most often cited by research in Hardware and Architecture (162 citations), Computer Vision and Pattern Recognition (178 citations), Electrical and Electronic Engineering (327 citations), Software (18 citations) and Artificial Intelligence (117 citations). Behnam Ghavami has collaborated with scholars based in Iran, Canada and India. Frequent co-authors include Mohsen Raji, Hossein Pedram, Ali Mahani, Hamid R. Zarandi, Lesley Shannon, Mahdieh Ghazvini, Zhenman Fang, Mina Jafari, Massoud Pedram and Ygal Bendavid. Their work appears in journals such as IEEE Transactions on Device and Materials Reliability, Computers & Electrical Engineering, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Access and Journal of Computational Electronics.

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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