Saad Bin Nasir

773 total citations
23 papers, 536 citations indexed

About

Saad Bin Nasir is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Saad Bin Nasir has authored 23 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 14 papers in Biomedical Engineering and 3 papers in Artificial Intelligence. Recurrent topics in Saad Bin Nasir's work include Analog and Mixed-Signal Circuit Design (14 papers), Low-power high-performance VLSI design (11 papers) and Advancements in Semiconductor Devices and Circuit Design (10 papers). Saad Bin Nasir is often cited by papers focused on Analog and Mixed-Signal Circuit Design (14 papers), Low-power high-performance VLSI design (11 papers) and Advancements in Semiconductor Devices and Circuit Design (10 papers). Saad Bin Nasir collaborates with scholars based in United States, Japan and South Korea. Saad Bin Nasir's co-authors include Arijit Raychowdhury, Shreyas Sen, Shovan Maity, Santosh Ghosh, Debayan Das, Visvesh Sathe, Safdar Husain Tahir, Eric Soenen, Don Disney and Madhavan Swaminathan and has published in prestigious journals such as IEEE Transactions on Power Electronics, IEEE Journal of Solid-State Circuits and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Saad Bin Nasir

23 papers receiving 527 citations

Peers

Saad Bin Nasir
Comparison fields: 5 of 40
  • Electrical and Electronic Engineering 436
  • Biomedical Engineering 306
  • Artificial Intelligence 89
  • Hardware and Architecture 68
  • Computer Vision and Pattern Recognition 64
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Citations per field, relative to Saad Bin Nasir
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Citations per year, relative to Saad Bin Nasir
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Countries citing papers authored by Saad Bin Nasir

Since Specialization
Citations

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

Fields of papers citing papers by Saad Bin Nasir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saad Bin Nasir. 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 Saad Bin Nasir. The network helps show where Saad Bin Nasir may publish in the future.

Co-authorship network of co-authors of Saad Bin Nasir

This figure shows the co-authorship network connecting the top 25 collaborators of Saad Bin Nasir. A scholar is included among the top collaborators of Saad Bin Nasir 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 Saad Bin Nasir. Saad Bin Nasir 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
# Work Indexed citations
1 9
2 2
3 51
4 42
5 8
6 1
7 21
8 2
9 15
10 75
11 5
12 79
13 27
14 13
15 18
16 1
17 16
18 11
19 15
20
Future of Cooperative Farming in Pakistan
3

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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