Richa Singh

11.4k total citations
312 papers, 7.0k citations indexed

About

Richa Singh is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Richa Singh has authored 312 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 224 papers in Computer Vision and Pattern Recognition, 164 papers in Signal Processing and 62 papers in Artificial Intelligence. Recurrent topics in Richa Singh's work include Biometric Identification and Security (155 papers), Face recognition and analysis (144 papers) and Face and Expression Recognition (113 papers). Richa Singh is often cited by papers focused on Biometric Identification and Security (155 papers), Face recognition and analysis (144 papers) and Face and Expression Recognition (113 papers). Richa Singh collaborates with scholars based in India, United States and Hong Kong. Richa Singh's co-authors include Mayank Vatsa, Afzel Noore, Akshay Agarwal, Samarth Bharadwaj, Gaurav Goswami, Himanshu S. Bhatt, Tejas I. Dhamecha, Anush Sankaran, Nalini Ratha and Angshul Majumdar and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Richa Singh

291 papers receiving 6.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richa Singh India	48	4.9k	4.0k	1.2k	994	528	312	7.0k
Mayank Vatsa India	47	4.8k 1.0×	3.9k 1.0×	1.2k 1.0×	981 1.0×	527 1.0×	307	6.8k
Julián Fiérrez Spain	46	5.1k 1.0×	4.4k 1.1×	2.6k 2.1×	1.5k 1.5×	630 1.2×	270	7.8k
Christoph Busch Germany	45	6.2k 1.3×	5.8k 1.5×	2.8k 2.3×	917 0.9×	597 1.1×	572	8.9k
Sharath Pankanti United States	36	4.8k 1.0×	5.2k 1.3×	3.4k 2.8×	924 0.9×	753 1.4×	103	8.2k
Javier Ortega-García Spain	40	3.6k 0.7×	3.7k 0.9×	1.8k 1.4×	1.9k 2.0×	478 0.9×	195	6.1k
Karthik Nandakumar United States	28	3.7k 0.8×	4.3k 1.1×	2.9k 2.4×	842 0.8×	370 0.7×	78	6.3k
Raghavendra Ramachandra Norway	34	3.1k 0.6×	2.6k 0.7×	850 0.7×	514 0.5×	207 0.4×	266	4.3k
Nalini Ratha United States	33	4.0k 0.8×	4.7k 1.2×	2.9k 2.4×	776 0.8×	624 1.2×	127	6.1k
Abdenour Hadid Finland	41	8.4k 1.7×	4.5k 1.1×	974 0.8×	1.1k 1.1×	129 0.2×	144	10.2k
Andrew Beng Jin Teoh South Korea	36	4.1k 0.8×	4.5k 1.1×	3.0k 2.5×	565 0.6×	300 0.6×	288	6.2k

Countries citing papers authored by Richa Singh

Since Specialization

Citations

This map shows the geographic impact of Richa 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 Richa Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richa Singh more than expected).

Fields of papers citing papers by Richa Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richa 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 Richa Singh. The network helps show where Richa Singh may publish in the future.

Co-authorship network of co-authors of Richa Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Richa Singh. A scholar is included among the top collaborators of Richa 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 Richa Singh. Richa Singh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Vatsa, Mayank, et al.. (2025). On learning discriminative embeddings for optimized top- k matching. Pattern Recognition. 162. 111341–111341.

Chaudhary, Jyoti, et al.. (2025). Beyond shadows and light: Odyssey of face recognition for social good. Computer Vision and Image Understanding. 253. 104293–104293. 1 indexed citations

Singh, Richa, et al.. (2025). Multimodal dual-stage feature refinement for robust skin lesion classification. Scientific Reports. 15(1). 37775–37775.

Vatsa, Mayank, et al.. (2024). AssistDistil for Medical Image Segmentation. Biomedical Signal Processing and Control. 97. 106568–106568.

Thakral, Kartik, et al.. (2024). DeePhyNet: Toward Detecting Phylogeny in Deepfakes. IEEE Transactions on Biometrics Behavior and Identity Science. 7(1). 132–145.

Agarwal, Akshay, Mayank Vatsa, Richa Singh, & Nalini Ratha. (2023). Corruption depth: Analysis of DNN depth for misclassification. Neural Networks. 172. 106013–106013. 2 indexed citations

Vatsa, Mayank, et al.. (2023). Uncovering the Deceptions: An Analysis on Audio Spoofing Detection and Future Prospects. 6750–6758. 3 indexed citations

Vatsa, Mayank, et al.. (2023). Uniform misclassification loss for unbiased model prediction. Pattern Recognition. 144. 109689–109689. 1 indexed citations

Thakral, Kartik, et al.. (2023). Are Face Detection Models Biased?. 1–7. 4 indexed citations

10.

Nagpal, Shruti, Maneet Singh, Richa Singh, Mayank Vatsa, & Nalini Ratha. (2023). In-Group Bias in Deep Learning-Based Face Recognition Models Due to Ethnicity and Age. 4(1). 54–67. 5 indexed citations

11.

Nagpal, Shruti, Maneet Singh, Richa Singh, & Mayank Vatsa. (2022). Detox Loss: Fairness Constraints for Learning With Imbalanced Data. IEEE Transactions on Biometrics Behavior and Identity Science. 5(2). 244–254.

12.

Vatsa, Mayank, et al.. (2022). Feature-Guided Perturbation for Facial Attribute Classification. IEEE Transactions on Artificial Intelligence. 4(6). 1739–1751. 1 indexed citations

13.

Agarwal, Akshay, Mayank Vatsa, Richa Singh, & Nalini Ratha. (2021). Intelligent and Adaptive Mixup Technique for Adversarial Robustness. 824–828. 5 indexed citations

14.

Singh, Richa, et al.. (2020). Recognizing Injured Faces via SCIFI Loss. IEEE Transactions on Biometrics Behavior and Identity Science. 3(1). 112–123. 5 indexed citations

15.

Singh, Richa, et al.. (2020). NewsBag: A Benchmark Multimodal Dataset for Fake News Detection.. National Conference on Artificial Intelligence. 138–145. 5 indexed citations

16.

Singh, Richa, et al.. (2015). Inhibition of return and ageing: An overview. Indian Journal of Health and Wellbeing. 5(9).

17.

Singh, Richa, et al.. (2013). Effect of Task Demand and Intrinsic Motivation on Human Vigilance Task Performance. Pakistan Journal of Psychological Research. 28(2). 179–197. 2 indexed citations

18.

Singh, Richa, Mayank Vatsa, & Afzel Noore. (2009). Multimodal Medical Image Fusion Using Redundant Discrete Wavelet Transform. 232–235. 62 indexed citations

19.

Singh, Richa, Mayank Vatsa, & Afzel Noore. (2009). Fingerprint Indexing using Minutiae and Pore Features.. IPCV. 870–875. 6 indexed citations

20.

Singh, Sanjay, Devendra Singh Chauhan, Mayank Vatsa, & Richa Singh. (2003). A Robust Skin Color Based Face Detection Algorithm. Journal of Applied Science and Engineering. 6(4). 227–234. 184 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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