Vinod K. Sangwan
- Electrical and Electronic Engineering top 0.2%
- Materials Chemistry top 0.5%
- Polymers and Plastics top 0.5%
- Biomedical Engineering top 2%
- Cellular and Molecular Neuroscience top 2%
- Co-authors
- Mark C. HersamTobin J. MarksLincoln J. LauhonDeep JariwalaHadallia BergeronHong‐Sub LeeItamar BallaMegan E. Beck
- Topics
- 2D Materials and Applications (47 papers)Advanced Memory and Neural Computing (25 papers)Graphene research and applications (23 papers)
- Journals
- NatureScienceChemical Reviews
- 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
- Electrical and Electronic Engineering 6.8k
- Materials Chemistry 6.6k
- Polymers and Plastics 1.8k
- Biomedical Engineering 1.5k
- Cellular and Molecular Neuroscience 823
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 of co-authors of Vinod K. Sangwan
This figure shows the co-authorship network connecting the top 25 collaborators of Vinod K. Sangwan. A scholar is included among the top collaborators of Vinod K. Sangwan 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 Vinod K. Sangwan. Vinod K. Sangwan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 69 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 15 | |
| 6 | Bimolecularly passivated interface enables efficient and stable inverted perovskite solar cellsbreakdown → | 457 |
| 7 | 9 | |
| 8 | 12 | |
| 9 | 171 | |
| 10 | Thermally conductive ultra-low-k dielectric layers based on two-dimensional covalent organic frameworksbreakdown → | 237 |
| 11 | 92 | |
| 12 | 9 | |
| 13 | 25 | |
| 14 | 18 | |
| 15 | 12 | |
| 16 | 28 | |
| 17 | 62 | |
| 18 | 22 | |
| 19 | 88 | |
| 20 | Molecular Layer-seeded Ultra-thin Top-gate Dielectrics for High Transconductance Graphene Transistors | 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) and Graphene research and applications (23 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.