Aakarsh Malhotra

552 total citations
14 papers, 316 citations indexed

About

Aakarsh Malhotra is a scholar working on Signal Processing, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Aakarsh Malhotra has authored 14 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 7 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Aakarsh Malhotra's work include Biometric Identification and Security (8 papers), Face recognition and analysis (6 papers) and User Authentication and Security Systems (5 papers). Aakarsh Malhotra is often cited by papers focused on Biometric Identification and Security (8 papers), Face recognition and analysis (6 papers) and User Authentication and Security Systems (5 papers). Aakarsh Malhotra collaborates with scholars based in India, United States and Canada. Aakarsh Malhotra's co-authors include Mayank Vatsa, Richa Singh, Wagner Meira, Virgı́lio Almeida, Ponnurangam Kumaraguru, Anush Sankaran, Afzel Noore, Alok Kumar Singh, Ankur Arora and Vishal M. Patel and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Biometrics Behavior and Identity Science.

In The Last Decade

Aakarsh Malhotra

13 papers receiving 304 citations

Peers

Aakarsh Malhotra

IS

SP

AI

CVPR

SNP

Dustin Arendt United States

Damon Horowitz United States

Daniel Krause Germany

Shangbin Feng United States

Gastón L’Huillier Chile

Navid Rekabsaz Austria

Shuyuan Xu United States

Lizhen Qu Australia

Mónica Marrero Spain

Tiziano Fagni Italy

Dustin Arendt United States

Aakarsh Malhotra

68 ×0.5

IS

34 ×0.2

SP

219 ×2.3

AI

112 ×1.2

CVPR

76 ×1.1

SNP

Citations per year, relative to Aakarsh Malhotra Aakarsh Malhotra (= 1×) peers Dustin Arendt

Countries citing papers authored by Aakarsh Malhotra

Since Specialization

Citations

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

Fields of papers citing papers by Aakarsh Malhotra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aakarsh Malhotra

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

All Works

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14 of 14 papers shown

1.

Malhotra, Aakarsh, et al.. (2024). Progressive Label Disambiguation for Partial Label Learning in Homogeneous Graphs. 3969–3973.

2.

Malhotra, Aakarsh, Mayank Vatsa, & Richa Singh. (2023). MMFV: A Multi-Movement Finger-Video Database for Contactless Fingerprint Recognition. 1–6. 2 indexed citations

3.

Malhotra, Aakarsh, et al.. (2023). Multi-Surface Multi-Technique (MUST) Latent Fingerprint Database. IEEE Transactions on Information Forensics and Security. 19. 1041–1055. 7 indexed citations

4.

Venugopal, Vasantha Kumar, Vikas Agarwal, Manu Malhotra, et al.. (2022). A novel abnormality annotation database for COVID-19 affected frontal lung X-rays. PLoS ONE. 17(10). e0271931–e0271931. 4 indexed citations

5.

Kumar, Nitish, et al.. (2022). RePS: Relation, Position and Structure aware Entity Alignment. 1083–1091. 6 indexed citations

6.

Malhotra, Aakarsh, et al.. (2022). Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 1986–1995. 2 indexed citations

7.

Malhotra, Aakarsh, et al.. (2020). Understanding ACE-V Latent Fingerprint Examination Process via Eye-Gaze Analysis. IEEE Transactions on Biometrics Behavior and Identity Science. 3(1). 44–58. 6 indexed citations

8.

Malhotra, Aakarsh, et al.. (2020). On Privacy Preserving Anonymization of Finger-selfies. 10 indexed citations

9.

Malhotra, Aakarsh, Anush Sankaran, Mayank Vatsa, & Richa Singh. (2020). On Matching Finger-Selfies Using Deep Scattering Networks. IEEE Transactions on Biometrics Behavior and Identity Science. 2(4). 350–362. 29 indexed citations

10.

Malhotra, Aakarsh, et al.. (2018). Unconstrained Fingerphoto Database. 15 indexed citations

11.

Malhotra, Aakarsh, Richa Singh, Mayank Vatsa, & Vishal M. Patel. (2018). Person Authentication Using Head Images. 401. 409–417. 2 indexed citations

12.

Malhotra, Aakarsh, et al.. (2017). Multimodal biometric recognition for toddlers and pre-school children. 627–633. 28 indexed citations

13.

Sankaran, Anush, et al.. (2015). On smartphone camera based fingerphoto authentication. 1–7. 50 indexed citations

14.

Malhotra, Aakarsh, et al.. (2012). Studying User Footprints in Different Online Social Networks. 1065–1070. 155 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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