Saurabh Singh

54 total papers · 1.3k total citations
32 papers, 731 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 32 papers receiving a total of 731 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 Yair Movshovitz-Attias, Alexander Toshev, Sergey Ioffe, Thomas Leung, Ioannis Pavlidis, Aglika Gyaourova, George Bebis, K. V. Arya, Sachin Ahuja and Tushar Sharma 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 673 citations

Hit Papers

No Fuss Distance Metric L... 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Saurabh Singh 496 240 164 112 88 32 731
Linjun Sun 334 0.7× 212 0.9× 159 1.0× 59 0.5× 94 1.1× 37 643
Mohammad Shoyaib 501 1.0× 174 0.7× 53 0.3× 169 1.5× 62 0.7× 48 804
Surbhi Gupta 292 0.6× 131 0.5× 109 0.7× 42 0.4× 139 1.6× 38 743
Sumit Shekhar 511 1.0× 203 0.8× 300 1.8× 82 0.7× 99 1.1× 24 712
Vamsi Krishna Madasu 514 1.0× 222 0.9× 102 0.6× 179 1.6× 60 0.7× 50 655
Hui Chen 435 0.9× 235 1.0× 205 1.3× 76 0.7× 51 0.6× 68 737
Jingwei Chen 447 0.9× 428 1.8× 55 0.3× 67 0.6× 31 0.4× 27 792
Yunlian Sun 429 0.9× 199 0.8× 107 0.7× 36 0.3× 35 0.4× 26 620
Maher Jridi 641 1.3× 103 0.4× 275 1.7× 81 0.7× 29 0.3× 43 882
Chen Gong 594 1.2× 435 1.8× 64 0.4× 89 0.8× 58 0.7× 16 858

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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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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