Imran Bashir

43 papers receiving 450 citations

Peers

Imran Bashir
Comparison fields: 5 of 51
  • Software 44
  • Hardware and Architecture 64
  • Electrical and Electronic Engineering 300
  • Information Systems 74
  • Artificial Intelligence 101
Replace Bing Huang with:
Bing Huang United States
Yong Sun China
Vincent P. Heuring United States
Priyadarsan Patra United States
Jean-Claude Royer France
Woosuk Lee South Korea
А. А. Бурцев Russia
Zhanglei Wang United States
Heinz Riener Switzerland
U. Fiedler Germany
Imran Bashir relative to Bing Huang United States Bing Huang's profile →
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Citations per year

Countries citing papers authored by Imran Bashir

Since Specialization
Citations

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

Fields of papers citing papers by Imran Bashir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Imran Bashir, 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 Imran Bashir Line = papers co-authored together Imran Bashir links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200738
2
Mastering Blockchain : Distributed ledgers, decentralization and smart contracts explained
201738
3 201933
4 200929
5 201029
6 200127
7 202025
8 199924
9 201124
10 200722
11 202118
12 201017
13
Testing Object-Oriented Software: Life Cycle Solutions
199917
14 202015
15 201611
16 202010
17 201010
18 20208
19 20066
20 20216

About Imran Bashir

Imran Bashir is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Biomedical Engineering and Computational Theory and Mathematics, having authored 45 papers that have together received 468 indexed citations. Recurring topics across this work include Radio Frequency Integrated Circuit Design (16 papers), Advancements in PLL and VCO Technologies (16 papers), Quantum and electron transport phenomena (15 papers), Advancements in Semiconductor Devices and Circuit Design (13 papers), Quantum Computing Algorithms and Architecture (13 papers), Analog and Mixed-Signal Circuit Design (9 papers), Semiconductor materials and devices (5 papers) and Quantum-Dot Cellular Automata (5 papers). The work is most often cited by research in Software (44 citations), Hardware and Architecture (64 citations), Electrical and Electronic Engineering (300 citations), Information Systems (74 citations) and Artificial Intelligence (101 citations). Imran Bashir has collaborated with scholars based in United States, Ireland and Netherlands. Frequent co-authors include Robert Bogdan Staszewski, Oren Eliezer, Poras T. Balsara, Amrit L. Goel, Elena Blokhina, Dirk Leipold, K. F. Wall, Teerachot Siriburanon, Bhaskar Banerjee and Mitch Entezari. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Solid-State Circuits Letters, International Journal of Circuit Theory and Applications, IEEE Electron Device Letters and IEEE Transactions on Circuits & Systems II Express Briefs.

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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