Samarth Bharadwaj

1.5k total citations
27 papers, 979 citations indexed

About

Samarth Bharadwaj is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Samarth Bharadwaj has authored 27 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 16 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Samarth Bharadwaj's work include Face recognition and analysis (16 papers), Biometric Identification and Security (14 papers) and Face and Expression Recognition (12 papers). Samarth Bharadwaj is often cited by papers focused on Face recognition and analysis (16 papers), Biometric Identification and Security (14 papers) and Face and Expression Recognition (12 papers). Samarth Bharadwaj collaborates with scholars based in India and United States. Samarth Bharadwaj's co-authors include Mayank Vatsa, Richa Singh, Himanshu S. Bhatt, Tejas I. Dhamecha, Afzel Noore, Gaurav Goswami, Akshay Agarwal, Nalini Ratha, Sanjay Kumar Singh and Karthik Sankaranarayanan and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Information Forensics and Security and EURASIP Journal on Image and Video Processing.

In The Last Decade

Samarth Bharadwaj

26 papers receiving 925 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samarth Bharadwaj India 15 784 708 158 100 45 27 979
Himanshu S. Bhatt India 14 523 0.7× 418 0.6× 91 0.6× 95 0.9× 30 0.7× 27 669
Fadi Boutros Germany 19 847 1.1× 558 0.8× 95 0.6× 137 1.4× 22 0.5× 57 1.0k
Sushma Venkatesh Norway 17 653 0.8× 475 0.7× 76 0.5× 110 1.1× 33 0.7× 41 788
Tejas I. Dhamecha India 12 469 0.6× 378 0.5× 93 0.6× 131 1.3× 31 0.7× 22 645
Raghavender Jillela United States 8 423 0.5× 526 0.7× 165 1.0× 19 0.2× 75 1.7× 9 598
H. Fronthaler Sweden 10 677 0.9× 768 1.1× 223 1.4× 25 0.3× 71 1.6× 14 877
K. Kollreider Sweden 9 672 0.9× 768 1.1× 223 1.4× 25 0.3× 71 1.6× 12 857
Lacey Best-Rowden United States 10 374 0.5× 284 0.4× 72 0.5× 26 0.3× 41 0.9× 11 500
Cunjian Chen United States 14 521 0.7× 282 0.4× 53 0.3× 64 0.6× 33 0.7× 34 633
Zinelabidine Boulkenafet Finland 7 998 1.3× 990 1.4× 195 1.2× 56 0.6× 67 1.5× 11 1.1k

Countries citing papers authored by Samarth Bharadwaj

Since Specialization
Citations

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

Fields of papers citing papers by Samarth Bharadwaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samarth Bharadwaj

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

All Works

20 of 20 papers shown
1.
Kumar, Vishwajeet, et al.. (2023). Multi-Row, Multi-Span Distant Supervision For Table+Text Question Answering. 8080–8094.
2.
Singh, Ankita, Srinivasa Raghavan, Saurabh Vyas, et al.. (2021). MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages. arXiv (Cornell University). 2446–2450. 33 indexed citations
3.
Dhamecha, Tejas I., et al.. (2021). Role of Language Relatedness in Multilingual Fine-tuning of Language Models: A Case Study in Indo-Aryan Languages. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 8584–8595. 11 indexed citations
4.
Dhamecha, Tejas I., et al.. (2021). Disfluency Correction using Unsupervised and Semi-supervised Learning. 3421–3427. 1 indexed citations
5.
Sarawagi, Sunita, et al.. (2021). Low Resource ASR: The Surprising Effectiveness of High Resource Transliteration. 1529–1533. 21 indexed citations
6.
Bharadwaj, Samarth, et al.. (2020). Representation Based Meta-Learning for Few-Shot Spoken Intent Recognition. arXiv (Cornell University). 4283–4287. 5 indexed citations
7.
Bharadwaj, Samarth, Tejas I. Dhamecha, Akshay Agarwal, et al.. (2016). Face anti-spoofing with multifeature videolet aggregation. 1035–1040. 75 indexed citations
8.
Bharadwaj, Samarth, Himanshu S. Bhatt, Mayank Vatsa, & Richa Singh. (2016). Domain Specific Learning for Newborn Face Recognition. IEEE Transactions on Information Forensics and Security. 11(7). 1630–1641. 35 indexed citations
9.
Bharadwaj, Samarth, Himanshu S. Bhatt, Richa Singh, Mayank Vatsa, & Afzel Noore. (2015). QFuse: Online learning framework for adaptive biometric system. Pattern Recognition. 48(11). 3428–3439. 19 indexed citations
10.
Bharadwaj, Samarth, Mayank Vatsa, & Richa Singh. (2015). Biometric quality : from assessment to multibiometrics. 2 indexed citations
11.
Bharadwaj, Samarth, Mayank Vatsa, & Richa Singh. (2014). Biometric quality: a review of fingerprint, iris, and face. EURASIP Journal on Image and Video Processing. 2014(1). 75 indexed citations
12.
Bharadwaj, Samarth, Tejas I. Dhamecha, Mayank Vatsa, & Richa Singh. (2013). Computationally Efficient Face Spoofing Detection with Motion Magnification. 105–110. 166 indexed citations
13.
Bharadwaj, Samarth, Mayank Vatsa, & Richa Singh. (2013). Can holistic representations be used for face biometric quality assessment?. 2792–2796. 12 indexed citations
14.
Bhatt, Himanshu S., Samarth Bharadwaj, Richa Singh, & Mayank Vatsa. (2012). Memetic approach for matching sketches with digital face images. 25 indexed citations
15.
Bhatt, Himanshu S., Samarth Bharadwaj, Richa Singh, Mayank Vatsa, & Afzel Noore. (2011). Evolutionary granular approach for recognizing faces altered due to plastic surgery. 720–725. 18 indexed citations
16.
Bharadwaj, Samarth, Himanshu S. Bhatt, Mayank Vatsa, Richa Singh, & Afzel Noore. (2011). Quality assessment based denoising to improve face recognition performance. 140–145. 13 indexed citations
17.
Bhatt, Himanshu S., Samarth Bharadwaj, Richa Singh, et al.. (2011). On co-training online biometric classifiers. 11. 1–7. 11 indexed citations
18.
Bhatt, Himanshu S., Samarth Bharadwaj, Mayank Vatsa, et al.. (2011). A framework for quality-based biometric classifier selection. 1–7. 12 indexed citations
19.
Bharadwaj, Samarth, Himanshu S. Bhatt, Mayank Vatsa, & Richa Singh. (2010). Periocular biometrics: When iris recognition fails. 1–6. 119 indexed citations
20.
Bharadwaj, Samarth, Himanshu S. Bhatt, Richa Singh, Mayank Vatsa, & Sanjay Kumar Singh. (2010). Face recognition for newborns: A preliminary study. 1–6. 39 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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