Sandeep Kaur Kingra
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- Advanced Memory and Neural Computing 12
- Ferroelectric and Negative Capacitance Devices 11
- Semiconductor materials and devices 9
- CCD and CMOS Imaging Sensors 2
- Low-power high-performance VLSI design 2
- Advancements in Semiconductor Devices and Circuit Design 2
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- Machine Learning and ELM 2
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- Analog and Mixed-Signal Circuit Design 2
- Co-authors
- Manan SuriVivek ParmarTuo‐Hung HouChe‐Chia ChangBoris HudecAlessandro BricalliG. MolasYogesh Kumar
- Cited by
- Electrical and Electronic EngineeringCellular and Molecular NeuroscienceCognitive Neuroscience
- Journals
- SHILAP Revista de lepidopterología (2 papers)Applied Physics Letters (1 paper)Scientific Reports (1 paper)
In The Last Decade
Sandeep Kaur Kingra
16 papers receiving 246 citations
Peers
Comparison fields: 5 of 102
- Electrical and Electronic Engineering 86
- Cellular and Molecular Neuroscience 19
- Cognitive Neuroscience 19
- Hardware and Architecture 6
- Health Informatics 1
Countries citing papers authored by Sandeep Kaur Kingra
This map shows the geographic impact of Sandeep Kaur Kingra'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 Sandeep Kaur Kingra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep Kaur Kingra more than expected).
Fields of papers citing papers by Sandeep Kaur Kingra
This network shows the impact of papers produced by Sandeep Kaur Kingra. 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 Sandeep Kaur Kingra. The network helps show where Sandeep Kaur Kingra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sandeep Kaur Kingra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2023 | 12 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 9 | |
| 9 | 2020 | 169 | |
| 10 | 2018 | 5 | |
| 11 | 2017 | 4 | |
| 12 | Stability Analysis of 6T SRAM Cell at 90nm Technology | 2017 | 4 |
| 13 | 2017 | 4 | |
| 14 | 2016 | 10 | |
| 15 | 2016 | 1 | |
| 16 | 2016 | 2 | |
| 17 | 2015 | 1 |
About Sandeep Kaur Kingra
Sandeep Kaur Kingra is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Artificial Intelligence, having authored 17 papers that have together received 247 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (12 papers), Ferroelectric and Negative Capacitance Devices (11 papers), Semiconductor materials and devices (9 papers), CCD and CMOS Imaging Sensors (2 papers), Machine Learning and ELM (2 papers), Low-power high-performance VLSI design (2 papers), Advancements in Semiconductor Devices and Circuit Design (2 papers) and Analog and Mixed-Signal Circuit Design (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (86 citations), Cellular and Molecular Neuroscience (19 citations) and Cognitive Neuroscience (19 citations). Sandeep Kaur Kingra has collaborated with scholars based in India, Taiwan and Germany. Frequent co-authors include Manan Suri, Vivek Parmar, Tuo‐Hung Hou, Che‐Chia Chang, Boris Hudec, Alessandro Bricalli, G. Molas, Yogesh Kumar, Yannick Raffel and Franz Müller. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Scientific Reports.
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.