N. Vijaykrishnan
- Hardware and Architecture top 2%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Co-authors
- M.J. IrwinMahmut KandemirM. IrwinMarilyn WolfYuh-Fang TsaiN. RanganathanD. DuarteI. Kadayif
- Topics
- Parallel Computing and Optimization Techniques (19 papers)Embedded Systems Design Techniques (13 papers)Low-power high-performance VLSI design (11 papers)
- Journals
- IEEE Transactions on Signal ProcessingIEEE Transactions on ComputersIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- United StatesRussiaItaly
In The Last Decade
N. Vijaykrishnan
48 papers receiving 484 citations
Peers
Comparison fields: 5 of 32
- Hardware and Architecture 300
- Electrical and Electronic Engineering 276
- Computer Networks and Communications 234
- Computer Vision and Pattern Recognition 87
- Signal Processing 68
Countries citing papers authored by N. Vijaykrishnan
This map shows the geographic impact of N. Vijaykrishnan'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 N. Vijaykrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Vijaykrishnan more than expected).
Fields of papers citing papers by N. Vijaykrishnan
This network shows the impact of papers produced by N. Vijaykrishnan. 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 N. Vijaykrishnan. The network helps show where N. Vijaykrishnan may publish in the future.
Co-authorship network of co-authors of N. Vijaykrishnan
This figure shows the co-authorship network connecting the top 25 collaborators of N. Vijaykrishnan. A scholar is included among the top collaborators of N. Vijaykrishnan 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 N. Vijaykrishnan. N. Vijaykrishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 14 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | Efficient VLSI implementation of inverse discrete cosine transform | 3 |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 36 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 3 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | Object-Oriented Architectural Support for a Java Processor | 2 |
| 19 | 16 | |
| 20 | 4 |
About N. Vijaykrishnan
N. Vijaykrishnan is a scholar working on Hardware and Architecture, Signal Processing and Computer Networks and Communications, having authored 52 papers that have together received 513 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (19 papers), Embedded Systems Design Techniques (13 papers) and Low-power high-performance VLSI design (11 papers). The work is most often cited by research in Hardware and Architecture (300 citations), Computer Networks and Communications (234 citations) and Signal Processing (68 citations). N. Vijaykrishnan has collaborated with scholars based in United States, Russia and Italy. Frequent co-authors include M.J. Irwin, Mahmut Kandemir, M. Irwin, Marilyn Wolf, Yuh-Fang Tsai, N. Ranganathan, D. Duarte, I. Kadayif, Shengqi Yang and J. Ramanujam. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Computers and IEEE Transactions on Circuits and Systems for Video Technology.
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.