Sandeep Kaur Kingra

1.5k citations
17 papers · 247 indexed · h-index 6
Topics
Advanced Memory and Neural Computing (12 papers)Ferroelectric and Negative Capacitance Devices (11 papers)Semiconductor materials and devices (9 papers)
Journals
SHILAP Revista de lepidopterologíaApplied Physics LettersScientific Reports
Partner nations
IndiaTaiwanGermany

In The Last Decade

Sandeep Kaur Kingra

16 papers receiving 246 citations

Peers

Sandeep Kaur Kingra
Comparison fields: 5 of 102
  • Electrical and Electronic Engineering 86
  • Molecular Biology 28
  • Pulmonary and Respiratory Medicine 23
  • Artificial Intelligence 22
  • Epidemiology 21
Replace Marco Mazza with:
Marco Mazza Italy
Rachit Kumar United States
W. J. E. P. Lammers United Arab Emirates
Yusra Obeidat Jordan
Hamidreza Shirzadfar Iran
Peter Banda United States
Tiantian Xiao China
Jingying Zhang China
Takahiro Emoto Japan
Lauri Puranen Finland
Sandeep Kaur Kingra relative to Marco Mazza Italy Marco Mazza's profile →
Citations per field
00.5×1.5×1.8×
Marco Mazza · 1×
Citations per year

Countries citing papers authored by Sandeep Kaur Kingra

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Sandeep Kaur Kingra

This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Kaur Kingra. A scholar is included among the top collaborators of Sandeep Kaur Kingra 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 Sandeep Kaur Kingra. Sandeep Kaur Kingra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 2
2 12
3 1
4 0
5 4
6 17
7 2
8 9
9 169
10 5
11 4
12
Stability Analysis of 6T SRAM Cell at 90nm Technology
4
13 4
14 10
15 1
16 2
17 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) and Semiconductor materials and devices (9 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026