Vinod K. Sangwan
- Materials Chemistry top 0.5%
- 2D Materials and Applications 47
- Graphene research and applications 23
- MXene and MAX Phase Materials 17
- Polymers and Plastics top 0.5%
-
- Advanced Memory and Neural Computing 25
- Perovskite Materials and Applications 21
- Ferroelectric and Negative Capacitance Devices 19
- Organic Electronics and Photovoltaics 17
- Biomedical Engineering top 2%
- Nanowire Synthesis and Applications 13
- Co-authors
- Mark C. HersamTobin J. MarksLincoln J. LauhonDeep JariwalaHadallia BergeronHong‐Sub LeeItamar BallaMegan E. Beck
- Partner nations
- United StatesChinaCzechia
In The Last Decade
Vinod K. Sangwan
107 papers receiving 10.0k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Materials Chemistry 6.6k
- Polymers and Plastics 1.8k
- Electrical and Electronic Engineering 6.8k
- Cellular and Molecular Neuroscience 823
- Biomedical Engineering 1.5k
Countries citing papers authored by Vinod K. Sangwan
This map shows the geographic impact of Vinod K. Sangwan'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 Vinod K. Sangwan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vinod K. Sangwan more than expected).
Fields of papers citing papers by Vinod K. Sangwan
This network shows the impact of papers produced by Vinod K. Sangwan. 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 Vinod K. Sangwan. The network helps show where Vinod K. Sangwan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vinod K. Sangwan, 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 | 2024 | 27 | |
| 2 | 2024 | 69 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 15 | |
| 6 | Bimolecularly passivated interface enables efficient and stable inverted perovskite solar cellsbreakdown → | 2023 | 457 |
| 7 | 2023 | 9 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 171 | |
| 10 | Thermally conductive ultra-low-k dielectric layers based on two-dimensional covalent organic frameworksbreakdown → | 2021 | 237 |
| 11 | 2021 | 92 | |
| 12 | 2021 | 9 | |
| 13 | 2021 | 25 | |
| 14 | 2020 | 18 | |
| 15 | 2020 | 12 | |
| 16 | 2019 | 28 | |
| 17 | 2018 | 62 | |
| 18 | 2017 | 22 | |
| 19 | 2017 | 88 | |
| 20 | Molecular Layer-seeded Ultra-thin Top-gate Dielectrics for High Transconductance Graphene Transistors | 2012 | 1 |
About Vinod K. Sangwan
Vinod K. Sangwan is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Polymers and Plastics, having authored 109 papers that have together received 10.2k indexed citations. Recurring topics across this work include 2D Materials and Applications (47 papers), Advanced Memory and Neural Computing (25 papers), Graphene research and applications (23 papers), Perovskite Materials and Applications (21 papers), Ferroelectric and Negative Capacitance Devices (19 papers), Organic Electronics and Photovoltaics (17 papers), MXene and MAX Phase Materials (17 papers) and Nanowire Synthesis and Applications (13 papers). The work is most often cited by research in Materials Chemistry (6.6k citations), Polymers and Plastics (1.8k citations) and Electrical and Electronic Engineering (6.8k citations). Vinod K. Sangwan has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Mark C. Hersam, Tobin J. Marks, Lincoln J. Lauhon, Deep Jariwala, Hadallia Bergeron, Hong‐Sub Lee, Itamar Balla, Megan E. Beck, Joohoon Kang and In S. Kim. Their work appears in journals such as Nature, Science and Chemical Reviews.
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.