Aditya Nigam

1.9k total citations
96 papers, 860 citations indexed

About

Aditya Nigam is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Information Systems. According to data from OpenAlex, Aditya Nigam has authored 96 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 36 papers in Signal Processing and 19 papers in Information Systems. Recurrent topics in Aditya Nigam's work include Biometric Identification and Security (36 papers), Face recognition and analysis (28 papers) and User Authentication and Security Systems (14 papers). Aditya Nigam is often cited by papers focused on Biometric Identification and Security (36 papers), Face recognition and analysis (28 papers) and User Authentication and Security Systems (14 papers). Aditya Nigam collaborates with scholars based in India, United States and Norway. Aditya Nigam's co-authors include Phalguni Gupta, Gaurav Jaswal, Nivedita Menon, Kamlesh Tiwari, Rajneesh Rani, Ravinder Nath, Arnav Bhavsar, A. R. Rao, Rabi Narayan Sahoo and Sudhir Kumar and has published in prestigious journals such as IEEE Access, Neurocomputing and Knowledge-Based Systems.

In The Last Decade

Aditya Nigam

84 papers receiving 809 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aditya Nigam India 15 379 326 144 110 96 96 860
Olusola Abayomi‐Alli Nigeria 15 122 0.3× 75 0.2× 171 1.2× 120 1.1× 53 0.6× 34 823
K. Meenakshi India 15 122 0.3× 91 0.3× 66 0.5× 69 0.6× 14 0.1× 86 668
I Ketut Gede Darma Putra Indonesia 13 188 0.5× 75 0.2× 459 3.2× 37 0.3× 39 0.4× 147 1.0k
Heyam H. Al-Baity Saudi Arabia 11 142 0.4× 133 0.4× 125 0.9× 13 0.1× 82 0.9× 30 709
Frédéric Andrès Japan 9 146 0.4× 32 0.1× 51 0.4× 26 0.2× 32 0.3× 68 507
A John India 12 81 0.2× 37 0.1× 57 0.4× 40 0.4× 12 0.1× 61 476
Kamran Ahsan Pakistan 12 113 0.3× 68 0.2× 85 0.6× 54 0.5× 20 0.2× 58 544
Mohammad Shamsul Arefin Bangladesh 13 63 0.2× 73 0.2× 128 0.9× 68 0.6× 50 0.5× 101 498
Ali Ahmadi Iran 17 246 0.6× 28 0.1× 62 0.4× 10 0.1× 37 0.4× 83 714
Muljono Muljono Indonesia 12 124 0.3× 69 0.2× 248 1.7× 18 0.2× 48 0.5× 87 757

Countries citing papers authored by Aditya Nigam

Since Specialization
Citations

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

Fields of papers citing papers by Aditya Nigam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditya Nigam

This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Nigam. A scholar is included among the top collaborators of Aditya Nigam 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 Aditya Nigam. Aditya Nigam 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.
Sharma, Geetanjali, Gaurav Jaswal, Aditya Nigam, & Raghavendra Ramachandra. (2025). FISNET: A Learnable Fusion-Based Iris Segmentation Network Improving Robustness Across NIR and VIS Modalities. IEEE Access. 13. 101472–101490.
2.
Nigam, Aditya, et al.. (2025). M2SM: multi modal signature matching network utilizing spatio-temporal features extracted from online signature. International Journal on Document Analysis and Recognition (IJDAR). 28(4). 701–715.
3.
Dutta, Tanoy, et al.. (2024). A small-molecule probe to decipher stress-induced ER microenvironments and ER-Golgi communication. Journal of Materials Chemistry B. 12(32). 7848–7857. 4 indexed citations
4.
5.
Sharma, Geetanjali, Gaurav Jaswal, Aditya Nigam, & Raghavendra Ramachandra. (2024). FH-SSTNet: Forehead Creases based User Verification using Spatio-Spatial Temporal Network. 1–6. 2 indexed citations
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Tandon, Abhishek, Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam, & Raghavendra Ramachandra. (2024). Synthetic Forehead-creases Biometric Generation for Reliable User Verification. 1–9. 1 indexed citations
9.
Nigam, Aditya, et al.. (2023). A deep learning-based approach for the inverse design of the Helmholtz resonators. Materials Today Communications. 37. 107439–107439. 4 indexed citations
10.
Gupta, Arpan, et al.. (2023). Vibration Recognition of a Distant Pendulum Using Smartphone. Journal of Vibration Engineering & Technologies. 12(2). 2371–2379.
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Pathak, Sudhir, Vishwesh Nath, Walter Schneider, et al.. (2022). VRfRNet: Volumetric ROI fODF reconstruction network for estimation of multi-tissue constrained spherical deconvolution with only single shell dMRI. Magnetic Resonance Imaging. 90. 1–16. 8 indexed citations
13.
Arora, Geetika, et al.. (2021). FKPIndexNet: An efficient learning framework for finger-knuckle-print database indexing to boost identification. Knowledge-Based Systems. 239. 108028–108028. 8 indexed citations
14.
Nigam, Aditya, et al.. (2021). A generic framework for deep incremental cancelable template generation. Neurocomputing. 467. 83–98. 15 indexed citations
15.
Rani, Rajneesh, et al.. (2020). UESegNet: Context Aware Unconstrained ROI Segmentation Networks for Ear Biometric. arXiv (Cornell University). 15 indexed citations
16.
Jaswal, Gaurav, et al.. (2020). AI-Biometric-Driven Smartphone App for Strict Post-COVID Home Quarantine Management. IEEE Consumer Electronics Magazine. 10(3). 49–55. 14 indexed citations
17.
Nigam, Aditya, et al.. (2019). VStegNET: Video Steganography Network using Spatio-Temporal features and Micro-Bottleneck.. British Machine Vision Conference. 274. 16 indexed citations
18.
Jaswal, Gaurav, et al.. (2018). Single-sensor hand-vein multimodal biometric recognition using multiscale deep pyramidal approach. Machine Vision and Applications. 29(8). 1269–1286. 27 indexed citations
19.
Nigam, Aditya, et al.. (2017). A Supervised Deep Learning Framework for Proactive Anomaly Detection in Cloud Workloads. 1–6. 12 indexed citations
20.
Kumar, Santosh, Aditya Nigam, Ashish Choudhary, et al.. (2011). Influence of lifestyle on oral health behavior among rural residents of Udaipur district, India. Medicina oral, patología oral y cirugía bucal. 16(6). e828–e833. 7 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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