Umesh Chand
- Electrical and Electronic Engineering top 2%
- Materials Chemistry top 10%
- Polymers and Plastics top 5%
- Cellular and Molecular Neuroscience top 5%
- Biomedical Engineering
- Co-authors
- Tseung‐Yuen TsengJagan Singh MeenaSimon M. SzeDayanand KumarRakesh AluguriChun-Yang HuangMuhammad IsmailAaron Thean
- Topics
- Ferroelectric and Negative Capacitance Devices (35 papers)Advanced Memory and Neural Computing (34 papers)Semiconductor materials and devices (14 papers)
- Cited by
- Polymers and PlasticsElectrical and Electronic EngineeringCellular and Molecular Neuroscience
- Partner nations
- SingaporeTaiwanSaudi Arabia
In The Last Decade
Umesh Chand
44 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 51
- Electrical and Electronic Engineering 1.6k
- Materials Chemistry 589
- Polymers and Plastics 429
- Cellular and Molecular Neuroscience 396
- Biomedical Engineering 111
Countries citing papers authored by Umesh Chand
This map shows the geographic impact of Umesh Chand'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 Umesh Chand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umesh Chand more than expected).
Fields of papers citing papers by Umesh Chand
This network shows the impact of papers produced by Umesh Chand. 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 Umesh Chand. The network helps show where Umesh Chand may publish in the future.
Co-authorship network of co-authors of Umesh Chand
This figure shows the co-authorship network connecting the top 25 collaborators of Umesh Chand. A scholar is included among the top collaborators of Umesh Chand 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 Umesh Chand. Umesh Chand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 30 | |
| 4 | 23 | |
| 5 | 5 | |
| 6 | 102 | |
| 7 | 26 | |
| 8 | 54 | |
| 9 | 3 | |
| 10 | 68 | |
| 11 | 6 | |
| 12 | 163 | |
| 13 | 8 | |
| 14 | 4 | |
| 15 | 0 | |
| 16 | 29 | |
| 17 | 1 | |
| 18 | 65 | |
| 19 | Overview of emerging nonvolatile memory technologiesbreakdown → | 566 |
| 20 | 96 |
About Umesh Chand
Umesh Chand is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Cellular and Molecular Neuroscience, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ferroelectric and Negative Capacitance Devices (35 papers), Advanced Memory and Neural Computing (34 papers) and Semiconductor materials and devices (14 papers). The work is most often cited by research in Polymers and Plastics (429 citations), Electrical and Electronic Engineering (1.6k citations) and Cellular and Molecular Neuroscience (396 citations). Umesh Chand has collaborated with scholars based in Singapore, Taiwan and Saudi Arabia. Frequent co-authors include Tseung‐Yuen Tseng, Jagan Singh Meena, Simon M. Sze, Dayanand Kumar, Rakesh Aluguri, Chun-Yang Huang, Muhammad Ismail, Aaron Thean, Yida Li and Evgeny Zamburg. Their work appears in journals such as Nature Communications, Applied Physics Letters and Journal of Applied Physics.
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.