Saurabh Singh
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Media Technology top 5%
- Information Systems top 10%
- Co-authors
- Alexander ToshevSergey IoffeYair Movshovitz-AttiasThomas LeungGeorge BebisIoannis PavlidisAglika GyaourovaK. V. Arya
- Topics
- User Authentication and Security Systems (11 papers)Biometric Identification and Security (10 papers)Advanced Malware Detection Techniques (5 papers)
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Saurabh Singh
31 papers receiving 681 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Computer Vision and Pattern Recognition 500
- Artificial Intelligence 246
- Signal Processing 165
- Media Technology 114
- Information Systems 88
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 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | Model Compression by Entropy Penalized Reparameterization | 1 |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 6 | |
| 14 | No Fuss Distance Metric Learning Using Proxiesbreakdown → | 374 |
| 15 | CEN@Amrita FIRE 2016: Context based character embeddings for entity extraction in code-mixed text | 3 |
| 16 | 2 | |
| 17 | Improved Hash Based Approach for Secure Color Image Steganography using Canny Edge Detection Method | 16 |
| 18 | 2 | |
| 19 | 23 | |
| 20 | 86 |
About Saurabh Singh
Saurabh Singh is a scholar working on Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 740 indexed citations. Recurring topics across this work include User Authentication and Security Systems (11 papers), Biometric Identification and Security (10 papers) and Advanced Malware Detection Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (500 citations), Signal Processing (165 citations) and Media Technology (114 citations). Saurabh Singh has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Alexander Toshev, Sergey Ioffe, Yair Movshovitz-Attias, Thomas Leung, George Bebis, Ioannis Pavlidis, Aglika Gyaourova, K. V. Arya, Sachin Ahuja and Tushar Sharma. Their work appears in journals such as Image and Vision Computing, Heliyon and JAMA Dermatology.
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.