Ranvijay Singh
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Information Systems
- Co-authors
- Rama Shankar YadavAshish Kumar MauryaK. K. MishraDinesh SinghKaran SinghPaul WoodIgnacio LagunaSaurabh Bagchi
- Topics
- Parallel Computing and Optimization Techniques (7 papers)Topic Modeling (6 papers)Real-Time Systems Scheduling (6 papers)
- Journals
- Experimental DermatologyMultimedia Tools and ApplicationsArchives of Computational Methods in Engineering
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Ranvijay Singh
36 papers receiving 243 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 113
- Electrical and Electronic Engineering 68
- Computer Networks and Communications 59
- Computer Vision and Pattern Recognition 46
- Information Systems 34
Countries citing papers authored by Ranvijay Singh
This map shows the geographic impact of Ranvijay Singh'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 Ranvijay Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ranvijay Singh more than expected).
Fields of papers citing papers by Ranvijay Singh
This network shows the impact of papers produced by Ranvijay Singh. 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 Ranvijay Singh. The network helps show where Ranvijay Singh may publish in the future.
Co-authorship network of co-authors of Ranvijay Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Ranvijay Singh. A scholar is included among the top collaborators of Ranvijay Singh 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 Ranvijay Singh. Ranvijay Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 23 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 30 | |
| 11 | 14 | |
| 12 | 1 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | Improved real-time energy aware parallel task scheduling in a cluster | 1 |
| 17 | 5 | |
| 18 | 9 | |
| 19 | A Three Phase Scheduling for System Energy Minimization of Weakly Hard Real Time Systems | 0 |
| 20 | 3 |
About Ranvijay Singh
Ranvijay Singh is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications, having authored 42 papers that have together received 266 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Topic Modeling (6 papers) and Real-Time Systems Scheduling (6 papers). The work is most often cited by research in Hardware and Architecture (30 citations), Artificial Intelligence (113 citations) and Computer Networks and Communications (59 citations). Ranvijay Singh has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Rama Shankar Yadav, Ashish Kumar Maurya, K. K. Mishra, Dinesh Singh, Karan Singh, Paul Wood, Ignacio Laguna, Saurabh Bagchi, Shreya Agrawal and Suneeta Agarwal. Their work appears in journals such as Experimental Dermatology, Multimedia Tools and Applications and Archives of Computational Methods in Engineering.
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.