Vijaykrishnan Narayanan
- Electrical and Electronic Engineering top 0.5%
- Computer Networks and Communications top 0.5%
- Hardware and Architecture top 0.2%
- Artificial Intelligence top 2%
- Materials Chemistry top 10%
- Co-authors
- Suman DattaYuan XieXueqing LiHuichu LiuChita R. DasChrysostomos NicopoulosMahmut KandemirSumeet Kumar Gupta
- Topics
- Semiconductor materials and devices (120 papers)Advanced Memory and Neural Computing (115 papers)Ferroelectric and Negative Capacitance Devices (104 papers)
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringComputer Networks and Communications
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Vijaykrishnan Narayanan
337 papers receiving 6.4k citations
Peers
Comparison fields: 5 of 87
- Electrical and Electronic Engineering 5.3k
- Computer Networks and Communications 2.0k
- Hardware and Architecture 2.0k
- Artificial Intelligence 508
- Materials Chemistry 449
Countries citing papers authored by Vijaykrishnan Narayanan
This map shows the geographic impact of Vijaykrishnan Narayanan'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 Vijaykrishnan Narayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijaykrishnan Narayanan more than expected).
Fields of papers citing papers by Vijaykrishnan Narayanan
This network shows the impact of papers produced by Vijaykrishnan Narayanan. 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 Vijaykrishnan Narayanan. The network helps show where Vijaykrishnan Narayanan may publish in the future.
Co-authorship network of co-authors of Vijaykrishnan Narayanan
This figure shows the co-authorship network connecting the top 25 collaborators of Vijaykrishnan Narayanan. A scholar is included among the top collaborators of Vijaykrishnan Narayanan 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 Vijaykrishnan Narayanan. Vijaykrishnan Narayanan 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 | 2 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 10 | |
| 11 | 0 | |
| 12 | 14 | |
| 13 | 1 | |
| 14 | 5 | |
| 15 | 22 | |
| 16 | 29 | |
| 17 | 1 | |
| 18 | 74 | |
| 19 | 12 | |
| 20 | 18 |
About Vijaykrishnan Narayanan
Vijaykrishnan Narayanan is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 357 papers that have together received 6.6k indexed citations. Recurring topics across this work include Semiconductor materials and devices (120 papers), Advanced Memory and Neural Computing (115 papers) and Ferroelectric and Negative Capacitance Devices (104 papers). The work is most often cited by research in Hardware and Architecture (2.0k citations), Electrical and Electronic Engineering (5.3k citations) and Computer Networks and Communications (2.0k citations). Vijaykrishnan Narayanan has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Suman Datta, Yuan Xie, Xueqing Li, Huichu Liu, Chita R. Das, Chrysostomos Nicopoulos, Mahmut Kandemir, Sumeet Kumar Gupta, M.J. Irwin and Kaisheng Ma. Their work appears in journals such as Nature Communications, Journal of Applied Physics and Proceedings of the IEEE.
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.