Kushal Das

1.4k citations
20 papers · 351 · h-index 8

Impact in

Papers in

Kushal Das

20 papers receiving 341 citations

Peers

Kushal Das
Comparison fields: 5 of 36
  • Atomic and Molecular Physics, and Optics 170
  • Electrical and Electronic Engineering 259
  • Artificial Intelligence 88
  • Safety, Risk, Reliability and Quality 20
  • Condensed Matter Physics 19
Replace David M. Bromberg with:
David M. Bromberg United States
S.A. Hareland United States
Nai Shyan Lai Malaysia
Héctor J. De Los Santos United States
Heinrich Daembkes Germany
Feng Pan China
Massoud Dousti Iran
Richard Dorrance United States
Kushal Das relative to David M. Bromberg United States David M. Bromberg's profile →
Citations per field
00.5×9.3×
David M. Bromberg · 1×
Citations per year

Countries citing papers authored by Kushal Das

Since Specialization
Citations

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

Fields of papers citing papers by Kushal Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2021143
2 200584
3 201426
4 202023
5 201012
6 201411
7 20209
8 20108
9 20196
10 20086
11 20116
12 20214
13 20253
14 20123
15
Silicon carbide semiconductor device fabrication and characterization
19902
16 20131
17 20251
18 20191
19 20241
20 20241

About Kushal Das

Kushal Das is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Biomedical Engineering and Condensed Matter Physics, having authored 20 papers that have together received 351 indexed citations. Recurring topics across this work include Advancements in Semiconductor Devices and Circuit Design (13 papers), Quantum and electron transport phenomena (11 papers), Semiconductor materials and devices (6 papers), Analog and Mixed-Signal Circuit Design (4 papers), Physics of Superconductivity and Magnetism (3 papers), Quantum Computing Algorithms and Architecture (3 papers), Silicon Carbide Semiconductor Technologies (2 papers) and Radio Frequency Integrated Circuit Design (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (170 citations), Electrical and Electronic Engineering (259 citations), Artificial Intelligence (88 citations), Safety, Risk, Reliability and Quality (20 citations) and Condensed Matter Physics (19 citations). Kushal Das has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Torsten Lehmann, Arnab Sarkar, D. J. Reilly, Alireza Moini, Michael J. Manfra, Sebastian Pauka, G. C. Gardner, Rachpon Kalra, Matthew Trainer and A. Bousquet. Their work appears in journals such as Cryogenics, IEEE Transactions on Circuits and Systems I Regular Papers, Nature, IEEE Transactions on Power Delivery and IEEE Transactions on Quantum Engineering.

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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