Mehdi Kamal

2.3k citations
98 papers · 1.7k indexed · h-index 20
Topics
Low-power high-performance VLSI design (43 papers)Advanced Memory and Neural Computing (23 papers)Parallel Computing and Optimization Techniques (22 papers)
Partner nations
IranUnited StatesAustria

In The Last Decade

Mehdi Kamal

92 papers receiving 1.6k citations

Peers

Mehdi Kamal
Comparison fields: 5 of 71
  • Electrical and Electronic Engineering 1.4k
  • Hardware and Architecture 536
  • Biomedical Engineering 403
  • Computational Theory and Mathematics 288
  • Artificial Intelligence 194
Replace Robert K. Montoye with:
Robert K. Montoye United States
Bah‐Hwee Gwee Singapore
Mark Zwoliński United Kingdom
Honglan Jiang China
Samuel Sheng United States
Hirofumi Shinohara Japan
Swagath Venkataramani United States
Yajun Ha Singapore
S.M. Fakhraie Iran
Frank K. Gürkaynak Switzerland
Mehdi Kamal relative to Robert K. Montoye United States Robert K. Montoye's profile →
Citations per field
00.5×7.1×
Robert K. Montoye · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 0
3 2
4 0
5 8
6 1
7 2
8 16
9 6
10 5
11 29
12 63
13 16
14 5
15 35
16 3
17 13
18 0
19 0
20 7

About Mehdi Kamal

Mehdi Kamal is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 98 papers that have together received 1.7k indexed citations. Recurring topics across this 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). The work is most often cited by research in Hardware and Architecture (536 citations), Electrical and Electronic Engineering (1.4k citations) and Computational Theory and Mathematics (288 citations). Mehdi Kamal has collaborated with scholars based in Iran, United States and Austria. Frequent co-authors include Massoud Pedram, Ali Afzali‐Kusha, Omid Akbari, Saeed Safari, Muhammad Shafique, Zainalabedin Navabi, David Atienza, Sied Mehdi Fakhraie, Majid Nili Ahmadabadi and S.M. Fakhraie. Their work appears in journals such as Proceedings of the IEEE, Energy and Buildings and Neurocomputing.

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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