Saurabh Singh
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Artificial Intelligence
- Computational Mechanics
- Electrical and Electronic Engineering
- Co-authors
- Sung Jin HwangTroy ChinenDamien VincentMichele CovellJoel ShorGeorge TodericiDavid MinnenNick Johnston
- Topics
- Low-power high-performance VLSI design (5 papers)Stroke Rehabilitation and Recovery (4 papers)Computer Graphics and Visualization Techniques (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignSignal Processing
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Saurabh Singh
24 papers receiving 366 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 300
- Signal Processing 72
- Artificial Intelligence 55
- Computational Mechanics 31
- Electrical and Electronic Engineering 30
Countries citing papers authored by Saurabh Singh
This map shows the geographic impact of Saurabh 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 Saurabh Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurabh Singh more than expected).
Fields of papers citing papers by Saurabh Singh
This network shows the impact of papers produced by Saurabh 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 Saurabh Singh. The network helps show where Saurabh Singh may publish in the future.
Co-authorship network of co-authors of Saurabh Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Saurabh Singh. A scholar is included among the top collaborators of Saurabh 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 Saurabh Singh. Saurabh 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 29 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | A Review on Palm Print Recognition System | 0 |
| 14 | 12 | |
| 15 | 5 | |
| 16 | Swapout: learning an ensemble of deep architectures | 27 |
| 17 | 0 | |
| 18 | Comparative study of 2 palatoplasty techniques to assess speech and fistula in primary cleft palate patients. | 4 |
| 19 | 20 | |
| 20 | Use of image to secure text message with the help of LSB replacement | 11 |
About Saurabh Singh
Saurabh Singh is a scholar working on Rehabilitation, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 29 papers that have together received 390 indexed citations. Recurring topics across this work include Low-power high-performance VLSI design (5 papers), Stroke Rehabilitation and Recovery (4 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (300 citations), Computer Graphics and Computer-Aided Design (28 citations) and Signal Processing (72 citations). Saurabh Singh has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Sung Jin Hwang, Troy Chinen, Damien Vincent, Michele Covell, Joel Shor, George Toderici, David Minnen, Nick Johnston, Derek Hoiem and David Forsyth. Their work appears in journals such as ACM Transactions on Graphics, Academic Emergency Medicine and Animals.
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.