Saurabh Singh

1.3k total citations · 1 hit paper
33 papers, 740 citations indexed

About

Saurabh Singh is a scholar working on Information Systems, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Saurabh Singh has authored 33 papers receiving a total of 740 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 13 papers in Signal Processing and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Saurabh Singh's work include User Authentication and Security Systems (11 papers), Biometric Identification and Security (10 papers) and Advanced Malware Detection Techniques (5 papers). Saurabh Singh is often cited by papers focused on User Authentication and Security Systems (11 papers), Biometric Identification and Security (10 papers) and Advanced Malware Detection Techniques (5 papers). Saurabh Singh collaborates with scholars based in India, United States and South Korea. Saurabh Singh's co-authors include Thomas Leung, Sergey Ioffe, Alexander Toshev, Yair Movshovitz-Attias, Ioannis Pavlidis, Aglika Gyaourova, George Bebis, K. V. Arya, Sachin Ahuja and Jitendra Kumar Singh Parihar and has published in prestigious journals such as Image and Vision Computing, Heliyon and JAMA Dermatology.

In The Last Decade

Saurabh Singh

31 papers receiving 681 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

No Fuss Distance Metric Learning Using Proxies

2017 374 citations Yair Movshovitz-Attias, Alexander Toshev et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Saurabh Singh India	9	500	246	165	114	88	33	740
Sanqiang Zhao Australia	11	840 1.7×	331 1.3×	193 1.2×	152 1.3×	97 1.1×	24	1.2k
Vidit Jain United States	9	934 1.9×	199 0.8×	199 1.2×	39 0.3×	55 0.6×	13	1.1k
Sumit Shekhar United States	10	514 1.0×	203 0.8×	301 1.8×	82 0.7×	99 1.1×	25	714
Rong-Xiang Hu China	11	581 1.2×	80 0.3×	208 1.3×	135 1.2×	41 0.5×	15	721
Srirangaraj Setlur United States	17	732 1.5×	205 0.8×	119 0.7×	190 1.7×	36 0.4×	81	948
Venice Erin Liong Singapore	16	1.5k 3.0×	211 0.9×	260 1.6×	85 0.7×	27 0.3×	23	1.6k
Abdolah Chalechale Iran	11	373 0.7×	64 0.3×	71 0.4×	55 0.5×	51 0.6×	64	548
Bibhas Chandra Dhara India	16	486 1.0×	144 0.6×	315 1.9×	24 0.2×	136 1.5×	60	717
Sajjad Mohsin Pakistan	18	294 0.6×	138 0.6×	62 0.4×	84 0.7×	54 0.6×	50	658
Mohammad‐Shahram Moin Iran	14	417 0.8×	111 0.5×	184 1.1×	70 0.6×	57 0.6×	72	657

Countries citing papers authored by Saurabh Singh

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Jain, Arpit, et al.. (2025). Trust‐Based Reliability Scheme for Secure Data Sharing With Internet of Vehicles Networks. Internet Technology Letters. 8(2). 1 indexed citations

Singh, Saurabh, et al.. (2025). Optimizing Reliability of Smart Healthcare Monitoring Systems via Network Coding in Wireless Body Area Networks. Internet Technology Letters. 8(4).

Zhang, Jingyu, et al.. (2024). A Novel High-Efficiency Transaction Verification Scheme for Blockchain Systems. Computer Modeling in Engineering & Sciences. 139(2). 1613–1633. 4 indexed citations

Singh, Saurabh, Anil Audumbar Pise, & Byungun Yoon. (2024). Prediction of bitcoin stock price using feature subset optimization. Heliyon. 10(7). e28415–e28415. 2 indexed citations

Sharma, Tushar, Jitendra Kumar Singh Parihar, & Saurabh Singh. (2021). Intelligent Chatbot for Prediction and Management of Stress. 937–941. 13 indexed citations

Singh, Saurabh, et al.. (2020). Future Location Prediction of a Mobile User Using Historic Visiting Patterns. 676–679. 2 indexed citations

Singh, Saurabh. (2020). Twitter Sentiments Analysis Using Machine Learning. International Journal of Scientific Research in Computer Science Engineering and Information Technology. 312–320. 2 indexed citations

Oktay, Deniz, et al.. (2019). Model Compression by Entropy Penalized Reparameterization. arXiv (Cornell University). 1 indexed citations

Singh, Saurabh, et al.. (2019). A comparative study of Mouse and Keystroke Based Authentication. 670–674. 6 indexed citations

10.

Singh, Saurabh, et al.. (2018). Pattern recognition based on specific weights. 5(1). 1–1. 1 indexed citations

11.

Singh, Saurabh, et al.. (2018). Sentiment Analysis Framework of Twitter Data Using Classification. 459–464. 8 indexed citations

12.

Singh, Saurabh, et al.. (2017). All that is English may be Hindi: Enhancing language identification through automatic ranking of likeliness of word borrowing in social media. arXiv (Cornell University). 6 indexed citations

13.

Movshovitz-Attias, Yair, Alexander Toshev, Thomas Leung, Sergey Ioffe, & Saurabh Singh. (2017). No Fuss Distance Metric Learning Using Proxies. 360–368. 374 indexed citations breakdown →

14.

Singh, Saurabh, et al.. (2016). CEN@Amrita FIRE 2016: Context based character embeddings for entity extraction in code-mixed text. CEUR Workshop Proceedings. 1737. 321–324. 3 indexed citations

15.

Singh, Saurabh, et al.. (2016). Forensic sketch recognition using user specific facial region. International Journal of Biometrics. 8(2). 134–134. 2 indexed citations

16.

Singh, Saurabh, et al.. (2014). Improved Hash Based Approach for Secure Color Image Steganography using Canny Edge Detection Method. 16 indexed citations

17.

Singh, Saurabh, et al.. (2013). AN EFFICIENT HASH BASED STEGANOGRAPHY TECHNIQUE FOR TEXT MESSAGE USING COLOR IMAGES. 2 indexed citations

18.

Singh, Saurabh, et al.. (2012). Computerized detection & classification of ECG signals. 247. 126–130. 2 indexed citations

19.

Singh, Saurabh & K. V. Arya. (2011). Key Classification: A New Approach in Free Text Keystroke Authentication System. 1–5. 23 indexed citations

20.

Singh, Saurabh, Aglika Gyaourova, George Bebis, & Ioannis Pavlidis. (2004). <title>Infrared and visible image fusion for face recognition</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5404. 585–596. 86 indexed citations

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.

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