Kamal El‐Sankary

881 citations
103 papers · 590 indexed · h-index 13
Topics
Analog and Mixed-Signal Circuit Design (50 papers)Advancements in PLL and VCO Technologies (30 papers)Radio Frequency Integrated Circuit Design (28 papers)
Partner nations
CanadaChinaBrazil

In The Last Decade

Kamal El‐Sankary

90 papers receiving 554 citations

Peers

Kamal El‐Sankary
Comparison fields: 5 of 68
  • Electrical and Electronic Engineering 392
  • Biomedical Engineering 234
  • Computer Vision and Pattern Recognition 113
  • Artificial Intelligence 102
  • Computer Networks and Communications 70
Replace Giuseppe Campobello with:
Giuseppe Campobello Italy
Qi Wei China
Haigang Yang China
Li Du China
Chixiao Chen China
Quan Pan China
Vallabhuni Vijay India
Mototsugu Hamada Japan
Aruru Sai Kumar India
Ülkühan Güler United States
Kamal El‐Sankary relative to Giuseppe Campobello Italy Giuseppe Campobello's profile →
Citations per field
00.5×1.5×2.0×
Giuseppe Campobello · 1×
Citations per year

Countries citing papers authored by Kamal El‐Sankary

Since Specialization
Citations

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

Fields of papers citing papers by Kamal El‐Sankary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamal El‐Sankary

This figure shows the co-authorship network connecting the top 25 collaborators of Kamal El‐Sankary. A scholar is included among the top collaborators of Kamal El‐Sankary 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 Kamal El‐Sankary. Kamal El‐Sankary 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
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14 45
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About Kamal El‐Sankary

Kamal El‐Sankary is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Biomedical Engineering, having authored 103 papers that have together received 590 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (50 papers), Advancements in PLL and VCO Technologies (30 papers) and Radio Frequency Integrated Circuit Design (28 papers). The work is most often cited by research in Electrical and Electronic Engineering (392 citations), Hardware and Architecture (44 citations) and Computer Vision and Pattern Recognition (113 citations). Kamal El‐Sankary has collaborated with scholars based in Canada, China and Brazil. Frequent co-authors include E.I. El-Masry, Mohamad Sawan, Ling Li, Jason Gu, Haoran Yu, W.M. Snelgrove, Rongxing Lu, Hui Zhu, Dmitri Truhachev and Mahsa Ebrahimian. Their work appears in journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and Sensors.

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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