Gaurav Singal
- Computer Networks and Communications top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Signal Processing top 5%
- Co-authors
- Nisha AhujaNeeraj KumarDebajyoti MukhopadhyayMadhushi VermaVenkataramana VeeramsettyDeepak GargVijay LaxmiManoj Singh Gaur
- Topics
- Network Security and Intrusion Detection (9 papers)Video Surveillance and Tracking Methods (8 papers)Mobile Ad Hoc Networks (8 papers)
- Cited by
- Computer Networks and CommunicationsSignal ProcessingComputer Vision and Pattern Recognition
- Journals
- Proceedings of the Royal Society B Biological SciencesIEEE Transactions on Neural Networks and Learning SystemsIEEE Internet of Things Journal
- Partner nations
- IndiaTaiwanSaudi Arabia
In The Last Decade
Gaurav Singal
58 papers receiving 921 citations
Peers
Comparison fields: 5 of 95
- Computer Networks and Communications 446
- Artificial Intelligence 262
- Computer Vision and Pattern Recognition 208
- Electrical and Electronic Engineering 176
- Signal Processing 174
Countries citing papers authored by Gaurav Singal
This map shows the geographic impact of Gaurav Singal'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 Gaurav Singal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaurav Singal more than expected).
Fields of papers citing papers by Gaurav Singal
This network shows the impact of papers produced by Gaurav Singal. 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 Gaurav Singal. The network helps show where Gaurav Singal may publish in the future.
Co-authorship network of co-authors of Gaurav Singal
This figure shows the co-authorship network connecting the top 25 collaborators of Gaurav Singal. A scholar is included among the top collaborators of Gaurav Singal 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 Gaurav Singal. Gaurav Singal 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 | 7 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 27 | |
| 11 | 20 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 65 | |
| 15 | 69 | |
| 16 | 139 | |
| 17 | 72 | |
| 18 | 7 | |
| 19 | 13 | |
| 20 | 11 |
About Gaurav Singal
Gaurav Singal is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 64 papers that have together received 974 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (9 papers), Video Surveillance and Tracking Methods (8 papers) and Mobile Ad Hoc Networks (8 papers). The work is most often cited by research in Computer Networks and Communications (446 citations), Signal Processing (174 citations) and Computer Vision and Pattern Recognition (208 citations). Gaurav Singal has collaborated with scholars based in India, Taiwan and Saudi Arabia. Frequent co-authors include Nisha Ahuja, Neeraj Kumar, Debajyoti Mukhopadhyay, Madhushi Verma, Venkataramana Veeramsetty, Deepak Garg, Vijay Laxmi, Manoj Singh Gaur, Mayank Swarnkar and Tapas Badal. Their work appears in journals such as Proceedings of the Royal Society B Biological Sciences, IEEE Transactions on Neural Networks and Learning Systems and IEEE Internet of Things Journal.
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.