Rajeev Murgai
- Electrical and Electronic Engineering top 10%
- Hardware and Architecture top 1%
- Computational Theory and Mathematics top 2%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Co-authors
- Alberto Sangiovanni‐VincentelliRobert K. BraytonNarendra ShenoyGustavo WilkeMasahiro FujitaWilliam W. WalkerArlindo L. OliveiraMasato Fujita
- Topics
- Low-power high-performance VLSI design (41 papers)VLSI and FPGA Design Techniques (30 papers)VLSI and Analog Circuit Testing (23 papers)
- Cited by
- Hardware and ArchitectureComputational Theory and MathematicsElectrical and Electronic Engineering
- Journals
- Proceedings of the IEEEIEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsJournal of Computational Electronics
- Partner nations
- United StatesJapanBrazil
In The Last Decade
Rajeev Murgai
50 papers receiving 676 citations
Peers
Comparison fields: 5 of 34
- Electrical and Electronic Engineering 595
- Hardware and Architecture 585
- Computational Theory and Mathematics 228
- Computer Networks and Communications 93
- Artificial Intelligence 37
Countries citing papers authored by Rajeev Murgai
This map shows the geographic impact of Rajeev Murgai'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 Rajeev Murgai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajeev Murgai more than expected).
Fields of papers citing papers by Rajeev Murgai
This network shows the impact of papers produced by Rajeev Murgai. 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 Rajeev Murgai. The network helps show where Rajeev Murgai may publish in the future.
Co-authorship network of co-authors of Rajeev Murgai
This figure shows the co-authorship network connecting the top 25 collaborators of Rajeev Murgai. A scholar is included among the top collaborators of Rajeev Murgai 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 Rajeev Murgai. Rajeev Murgai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 34 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 8 | |
| 11 | 2 | |
| 12 | 7 | |
| 13 | 9 | |
| 14 | 13 | |
| 15 | 9 | |
| 16 | 2 | |
| 17 | 17 | |
| 18 | 37 | |
| 19 | 1 | |
| 20 | 30 |
About Rajeev Murgai
Rajeev Murgai is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 55 papers that have together received 754 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (41 papers), VLSI and FPGA Design Techniques (30 papers) and VLSI and Analog Circuit Testing (23 papers). The work is most often cited by research in Hardware and Architecture (585 citations), Computational Theory and Mathematics (228 citations) and Electrical and Electronic Engineering (595 citations). Rajeev Murgai has collaborated with scholars based in United States, Japan and Brazil. Frequent co-authors include Alberto Sangiovanni‐Vincentelli, Robert K. Brayton, Narendra Shenoy, Gustavo Wilke, Masahiro Fujita, William W. Walker, Arlindo L. Oliveira, Masato Fujita, Jaijeet Roychowdhury and Ling Zhang. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Journal of Computational Electronics.
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.