Vikas Rana
- Electrical and Electronic Engineering top 2%
- Cellular and Molecular Neuroscience top 2%
- Materials Chemistry
- Polymers and Plastics top 5%
- Cognitive Neuroscience top 10%
- Co-authors
- Rainer WaserStephan MenzelKatharina SkajaWonjoo KimIlia ValovTsuyoshi HasegawaMarco MoorsBilge Yildiz
- Topics
- Advanced Memory and Neural Computing (49 papers)Neuroscience and Neural Engineering (28 papers)Ferroelectric and Negative Capacitance Devices (27 papers)
- Cited by
- Cellular and Molecular NeuroscienceElectrical and Electronic EngineeringPolymers and Plastics
- Partner nations
- GermanyNetherlandsUnited Kingdom
In The Last Decade
Vikas Rana
56 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Electrical and Electronic Engineering 1.6k
- Cellular and Molecular Neuroscience 694
- Materials Chemistry 321
- Polymers and Plastics 291
- Cognitive Neuroscience 139
Countries citing papers authored by Vikas Rana
This map shows the geographic impact of Vikas Rana'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 Vikas Rana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikas Rana more than expected).
Fields of papers citing papers by Vikas Rana
This network shows the impact of papers produced by Vikas Rana. 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 Vikas Rana. The network helps show where Vikas Rana may publish in the future.
Co-authorship network of co-authors of Vikas Rana
This figure shows the co-authorship network connecting the top 25 collaborators of Vikas Rana. A scholar is included among the top collaborators of Vikas Rana 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 Vikas Rana. Vikas Rana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 9 | |
| 10 | 46 | |
| 11 | 140 | |
| 12 | 114 | |
| 13 | 61 | |
| 14 | 60 | |
| 15 | Nanoscale cation motion in TaOx, HfOx and TiOx memristive systemsbreakdown → | 525 |
| 16 | 3 | |
| 17 | 14 | |
| 18 | 1 | |
| 19 | 16 | |
| 20 | High Performance P-Channel Single-Crystalline Si TFTs Fabricated Inside a Location-Controlled Grain by μ-Czochralski Process( Electronic Displays) | 6 |
About Vikas Rana
Vikas Rana is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Polymers and Plastics, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (49 papers), Neuroscience and Neural Engineering (28 papers) and Ferroelectric and Negative Capacitance Devices (27 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (694 citations), Electrical and Electronic Engineering (1.6k citations) and Polymers and Plastics (291 citations). Vikas Rana has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Rainer Waser, Stephan Menzel, Katharina Skaja, Wonjoo Kim, Ilia Valov, Tsuyoshi Hasegawa, Marco Moors, Bilge Yildiz, Michael Luebben and Kiran Kumar Adepalli. Their work appears in journals such as Applied Physics Letters, Nature Nanotechnology and Advanced Functional Materials.
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.