Asif Islam Khan

7.1k citations
167 papers · 5.5k indexed · 2 hit papers · h-index 35
Topics
Ferroelectric and Negative Capacitance Devices (127 papers)Semiconductor materials and devices (109 papers)Advanced Memory and Neural Computing (66 papers)
Journals
NatureNature MaterialsSHILAP Revista de lepidopterología

In The Last Decade

Asif Islam Khan

154 papers receiving 5.4k citations

Hit Papers

The future of ferroelectric field-effect tr...201420262018202220202014200400600

Peers

Asif Islam Khan
Comparison fields: 5 of 67
  • Electrical and Electronic Engineering 5.0k
  • Materials Chemistry 2.8k
  • Biomedical Engineering 453
  • Electronic, Optical and Magnetic Materials 433
  • Artificial Intelligence 215
Replace Max M. Shulaker with:
Max M. Shulaker United States
Gouri Sankar Kar Belgium
Iuliana Radu Belgium
Azad Naeemi United States
J. Suñé Spain
J. H. Stathis United States
Gregory Pitner United States
M. Nafrı́a Spain
Joachim Knoch Germany
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Asif Islam Khan relative to Max M. Shulaker United States Max M. Shulaker's profile →
Citations per field
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Max M. Shulaker · 1×
Citations per year

Countries citing papers authored by Asif Islam Khan

Since Specialization
Citations

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

Fields of papers citing papers by Asif Islam Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Asif Islam Khan. 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 Asif Islam Khan. The network helps show where Asif Islam Khan may publish in the future.

Co-authorship network of co-authors of Asif Islam Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Asif Islam Khan. A scholar is included among the top collaborators of Asif Islam Khan 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 Asif Islam Khan. Asif Islam Khan 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 10
2 0
3 10
4 2
5 10
6 3
7 14
8 17
9 3
10 35
11 32
12 30
13 32
14 53
15 18
16 41
17 58
18 30
19 107
20
Negative Capacitance for Ultra-low Power Computing
21

About Asif Islam Khan

Asif Islam Khan is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biochemistry, having authored 167 papers that have together received 5.5k indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (127 papers), Semiconductor materials and devices (109 papers) and Advanced Memory and Neural Computing (66 papers). The work is most often cited by research in Electrical and Electronic Engineering (5.0k citations), Materials Chemistry (2.8k citations) and Electronic, Optical and Magnetic Materials (433 citations). Asif Islam Khan has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Sayeef Salahuddin, Suman Datta, A. Keshavarzi, R. Ramesh, Korok Chatterjee, Chenming Hu, Shimeng Yu, Claudy Rayan Serrao, Zheng Wang and Chun Wing Yeung. Their work appears in journals such as Nature, Nature Materials and SHILAP Revista de lepidopterología.

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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