Mehdi Kamal

2.3k total citations
98 papers, 1.7k citations indexed

About

Mehdi Kamal is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Networks and Communications. According to data from OpenAlex, Mehdi Kamal has authored 98 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Electrical and Electronic Engineering, 33 papers in Hardware and Architecture and 16 papers in Computer Networks and Communications. Recurrent topics in Mehdi Kamal's work include Low-power high-performance VLSI design (43 papers), Advanced Memory and Neural Computing (23 papers) and Parallel Computing and Optimization Techniques (22 papers). Mehdi Kamal is often cited by papers focused on Low-power high-performance VLSI design (43 papers), Advanced Memory and Neural Computing (23 papers) and Parallel Computing and Optimization Techniques (22 papers). Mehdi Kamal collaborates with scholars based in Iran, United States and Austria. Mehdi Kamal's co-authors include Massoud Pedram, Ali Afzali‐Kusha, Omid Akbari, Saeed Safari, Muhammad Shafique, Zainalabedin Navabi, David Atienza, Sied Mehdi Fakhraie, S.M. Fakhraie and Majid Nili Ahmadabadi and has published in prestigious journals such as Proceedings of the IEEE, Energy and Buildings and Neurocomputing.

In The Last Decade

Mehdi Kamal

92 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mehdi Kamal Iran 20 1.4k 536 403 288 194 98 1.7k
Robert K. Montoye United States 17 1.9k 1.3× 622 1.2× 239 0.6× 335 1.2× 169 0.9× 41 2.1k
Bah‐Hwee Gwee Singapore 20 816 0.6× 391 0.7× 261 0.6× 88 0.3× 292 1.5× 150 1.2k
Mark Zwoliński United Kingdom 18 985 0.7× 713 1.3× 109 0.3× 149 0.5× 294 1.5× 183 1.4k
Honglan Jiang China 17 1.4k 1.0× 393 0.7× 597 1.5× 334 1.2× 186 1.0× 45 1.6k
Hirofumi Shinohara Japan 21 1.5k 1.1× 576 1.1× 209 0.5× 128 0.4× 84 0.4× 135 1.7k
Samuel Sheng United States 4 1.3k 0.9× 713 1.3× 426 1.1× 145 0.5× 69 0.4× 5 1.7k
Yajun Ha Singapore 20 785 0.6× 592 1.1× 158 0.4× 118 0.4× 291 1.5× 142 1.6k
Swagath Venkataramani United States 25 1.8k 1.3× 784 1.5× 187 0.5× 146 0.5× 532 2.7× 66 2.3k
S.M. Fakhraie Iran 13 762 0.5× 259 0.5× 234 0.6× 114 0.4× 181 0.9× 94 985
Jos Huisken Netherlands 18 779 0.6× 599 1.1× 476 1.2× 59 0.2× 64 0.3× 99 1.5k

Countries citing papers authored by Mehdi Kamal

Since Specialization
Citations

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

Fields of papers citing papers by Mehdi Kamal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehdi Kamal

This figure shows the co-authorship network connecting the top 25 collaborators of Mehdi Kamal. A scholar is included among the top collaborators of Mehdi Kamal 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 Mehdi Kamal. Mehdi Kamal 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.
Kamal, Mehdi, et al.. (2024). Low-Precision Mixed-Computation Models for Inference on Edge. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 32(8). 1414–1422. 2 indexed citations
2.
Kamal, Mehdi, et al.. (2023). Federated learning by employing knowledge distillation on edge devices with limited hardware resources. Neurocomputing. 531. 87–99. 8 indexed citations
3.
Stuijk, Sander, et al.. (2023). ReMeCo. TU/e Research Portal. 396–401. 1 indexed citations
4.
Akbari, Omid, et al.. (2022). Accuracy Configurable Adders with Negligible Delay Overhead in Exact Operating Mode. ACM Transactions on Design Automation of Electronic Systems. 28(1). 1–14. 2 indexed citations
5.
Kamali, Mohammad Hāshim, et al.. (2022). Energy efficiency in residential buildings amid COVID-19: A holistic comparative analysis between old and new normal occupancies. Energy and Buildings. 277. 112551–112551. 16 indexed citations
6.
Kamal, Mehdi, et al.. (2021). An Energy-Efficient Inference Method in Convolutional Neural Networks Based on Dynamic Adjustment of the Pruning Level. ACM Transactions on Design Automation of Electronic Systems. 26(6). 1–20. 4 indexed citations
7.
Kamal, Mehdi, et al.. (2020). Design Exploration of Energy-Efficient Accuracy-Configurable Dadda Multipliers With Improved Lifetime Based on Voltage Overscaling. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 28(5). 1207–1220. 29 indexed citations
8.
Kamal, Mehdi, et al.. (2020). OPTIMA: An Approach for Online Management of Cache Approximation Levels in Approximate Processing Systems. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 29(2). 434–446. 1 indexed citations
9.
Kamal, Mehdi, et al.. (2020). Interstice: Inverter-Based Memristive Neural Networks Discretization for Function Approximation Applications. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 28(7). 1578–1588. 7 indexed citations
10.
Akbari, Omid, et al.. (2019). Block-Based Carry Speculative Approximate Adder for Energy-Efficient Applications. IEEE Transactions on Circuits & Systems II Express Briefs. 67(1). 137–141. 63 indexed citations
11.
Akbari, Omid, et al.. (2018). Energy and Reliability Improvement of Voltage-Based, Clustered, Coarse-Grain Reconfigurable Architectures by Employing Quality-Aware Mapping. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 8(3). 480–493. 16 indexed citations
12.
Kamal, Mehdi, et al.. (2017). TheSPoT: Thermal Stress-Aware Power and Temperature Management for Multiprocessor Systems-on-Chip. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 37(8). 1532–1545. 35 indexed citations
13.
Kamal, Mehdi, et al.. (2017). PHAX: Physical Characteristics Aware <italic>Ex-Situ</italic> Training Framework for Inverter-Based Memristive Neuromorphic Circuits. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 37(8). 1602–1613. 19 indexed citations
14.
15.
Kamal, Mehdi, et al.. (2014). Status and distribution of Black-necked Crane ( Grus nigricollis ) in India. 35. 39–50. 13 indexed citations
16.
Yazdanbakhsh, Amir, Mehdi Kamal, Sied Mehdi Fakhraie, et al.. (2014). Implementation-aware selection of the custom instruction set for extensible processors. Microprocessors and Microsystems. 38(7). 681–691.
17.
Kamal, Mehdi, et al.. (2014). Improving efficiency of extensible processors by using approximate custom instructions. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014. 1–4. 3 indexed citations
18.
Kamal, Mehdi, et al.. (2014). CSAM: A clock skew-aware aging mitigation technique. Microelectronics Reliability. 55(1). 282–290. 4 indexed citations
19.
Kamal, Mehdi, et al.. (2013). An efficient network on-chip architecture based on isolating local and non-local communications. Design, Automation, and Test in Europe. 350–353.
20.
Kamal, Mehdi, Ali Afzali‐Kusha, Saeed Safari, & Massoud Pedram. (2012). An architecture-level approach for mitigating the impact of process variations on extensible processors. Design, Automation, and Test in Europe. 467–472. 7 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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