Rajesh Garg
- Electrical and Electronic Engineering top 10%
- Hardware and Architecture top 5%
- Computer Vision and Pattern Recognition top 10%
- Media Technology top 10%
- Computer Networks and Communications
- Co-authors
- Sunil P. KhatriNikhil JayakumarGwan ChoiSurender Kumar SoniJyoti BholaTimothy S. FisherG.S. ChoiJay P. Gore
- Topics
- Low-power high-performance VLSI design (23 papers)Radiation Effects in Electronics (15 papers)VLSI and Analog Circuit Testing (12 papers)
- Cited by
- Hardware and ArchitectureElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Journals
- Journal of Physics D Applied PhysicsIEEE Transactions on Very Large Scale Integration (VLSI) SystemsJournal of Nanoscience and Nanotechnology
- Partner nations
- United StatesIndiaLebanon
In The Last Decade
Rajesh Garg
45 papers receiving 502 citations
Peers
Comparison fields: 5 of 67
- Electrical and Electronic Engineering 365
- Hardware and Architecture 215
- Computer Vision and Pattern Recognition 100
- Media Technology 42
- Computer Networks and Communications 34
Countries citing papers authored by Rajesh Garg
This map shows the geographic impact of Rajesh Garg'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 Rajesh Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajesh Garg more than expected).
Fields of papers citing papers by Rajesh Garg
This network shows the impact of papers produced by Rajesh Garg. 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 Rajesh Garg. The network helps show where Rajesh Garg may publish in the future.
Co-authorship network of co-authors of Rajesh Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Rajesh Garg. A scholar is included among the top collaborators of Rajesh Garg 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 Rajesh Garg. Rajesh Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Histogram Equalization Techniques For Image Enhancement | 117 |
| 3 | Development of an instrument to measure density and moisture content of snow | 1 |
| 4 | DFM-aware structured ASIC design | 2 |
| 5 | 5 | |
| 6 | 21 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 27 | |
| 10 | 10 | |
| 11 | Design and development of Multi Parameter Probe (MPP) to measure temperature and hardness inside snow microstructure | 1 |
| 12 | 11 | |
| 13 | 5 | |
| 14 | 7 | |
| 15 | 26 | |
| 16 | 4 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 8 | |
| 20 | 2 |
About Rajesh Garg
Rajesh Garg is a scholar working on Hardware and Architecture, Electrical and Electronic Engineering and Atmospheric Science, having authored 46 papers that have together received 547 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (23 papers), Radiation Effects in Electronics (15 papers) and VLSI and Analog Circuit Testing (12 papers). The work is most often cited by research in Hardware and Architecture (215 citations), Electrical and Electronic Engineering (365 citations) and Computer Vision and Pattern Recognition (100 citations). Rajesh Garg has collaborated with scholars based in United States, India and Lebanon. Frequent co-authors include Sunil P. Khatri, Nikhil Jayakumar, Gwan Choi, Surender Kumar Soni, Jyoti Bhola, Timothy S. Fisher, G.S. Choi, Jay P. Gore, David Hash and Robert P. Lucht. Their work appears in journals such as Journal of Physics D Applied Physics, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and Journal of Nanoscience and Nanotechnology.
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.