Sanjay Nair

608 total citations
18 papers, 365 citations indexed

About

Sanjay Nair is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Sanjay Nair has authored 18 papers receiving a total of 365 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in Sanjay Nair's work include Biometric Identification and Security (5 papers), Advanced Database Systems and Queries (3 papers) and Advanced Steganography and Watermarking Techniques (3 papers). Sanjay Nair is often cited by papers focused on Biometric Identification and Security (5 papers), Advanced Database Systems and Queries (3 papers) and Advanced Steganography and Watermarking Techniques (3 papers). Sanjay Nair collaborates with scholars based in India, United Kingdom and United States. Sanjay Nair's co-authors include K. P. Sanal Kumar, A. Murugan, P. Aruna, Deepsubhra Guha Roy, Mani Srivastava, Sandeep Singh Sandha, Mohamed Y. Eltabakh, Lu Ma, N. Venkata Ramana and L. C. Manikandan and has published in prestigious journals such as Proceedings of the VLDB Endowment, Alexandria Engineering Journal and Soft Computing.

In The Last Decade

Sanjay Nair

17 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjay Nair India 5 202 195 70 55 39 18 365
Najm Us Sama Malaysia 8 179 0.9× 192 1.0× 83 1.2× 44 0.8× 54 1.4× 19 349
K. P. Sanal Kumar India 6 197 1.0× 195 1.0× 71 1.0× 139 2.5× 15 0.4× 14 417
Rehan Ashraf Pakistan 9 224 1.1× 160 0.8× 62 0.9× 103 1.9× 17 0.4× 18 419
Ghadah Naif Alwakid Saudi Arabia 10 164 0.8× 71 0.4× 33 0.5× 52 0.9× 44 1.1× 38 351
Roshan Fernandes India 7 117 0.6× 103 0.5× 41 0.6× 70 1.3× 14 0.4× 33 267
Warner ten Kate Netherlands 8 199 1.0× 138 0.7× 21 0.3× 52 0.9× 24 0.6× 12 295
Victor Pomponiu Italy 10 139 0.7× 104 0.5× 37 0.5× 175 3.2× 9 0.2× 21 319
Antesar Shabut United Kingdom 9 179 0.9× 223 1.1× 73 1.0× 58 1.1× 6 0.2× 14 433
Alhassan Mabrouk Egypt 12 203 1.0× 58 0.3× 26 0.4× 54 1.0× 32 0.8× 12 378
B. Saravana Balaji India 8 68 0.3× 67 0.3× 27 0.4× 24 0.4× 49 1.3× 21 244

Countries citing papers authored by Sanjay Nair

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay Nair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjay Nair

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

All Works

18 of 18 papers shown
1.
2.
Nair, Sanjay, et al.. (2024). Hybrid arithmetic optimization algorithm with deep transfer learning based microarray gene expression classification model. International Journal of Information Technology. 16(6). 3923–3928. 3 indexed citations
3.
Ramana, N. Venkata, Sanjay Nair, & K. P. Sanal Kumar. (2022). Modified Firefly Optimization with Deep Learning based Multimodal Biometric Verification Model. International Journal on Recent and Innovation Trends in Computing and Communication. 10(1s). 99–107. 1 indexed citations
4.
Kumar, K. P. Sanal, et al.. (2022). Detection of Alzheimer’s disease in MRI images using different transfer learning models and improving the classification accuracy. International Journal of Health Sciences. 11851–11869. 3 indexed citations
5.
Nair, Sanjay, et al.. (2022). Supervised learning-based seed germination ability prediction for precision farming. Soft Computing. 26(23). 13133–13144. 1 indexed citations
6.
Nair, Sanjay, et al.. (2021). Security and privacy-aware Artificial Intrusion Detection System using Federated Machine Learning. Computers & Electrical Engineering. 96. 107440–107440. 38 indexed citations
7.
Eltabakh, Mohamed Y., et al.. (2021). Not black-box anymore!. Proceedings of the VLDB Endowment. 14(12). 2959–2971. 1 indexed citations
8.
Murugan, A., et al.. (2020). Diagnosis of skin cancer using machine learning techniques. Microprocessors and Microsystems. 81. 103727–103727. 98 indexed citations
9.
Nair, Sanjay, et al.. (2020). PCA BASED Image Fusion of Face and Iris Biometric Features. 8(3). 25–30. 3 indexed citations
10.
Eltabakh, Mohamed Y., et al.. (2020). Cost Estimation Across Heterogeneous SQL-Based Big Data Infrastructures in Teradata IntelliSphere. Movebank. 534–545. 3 indexed citations
11.
Murugan, A., Sanjay Nair, & K. P. Sanal Kumar. (2019). Detection of Skin Cancer Using SVM, Random Forest and kNN Classifiers. Journal of Medical Systems. 43(8). 269–269. 183 indexed citations
12.
Nair, Sanjay, et al.. (2019). ecision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Precision Farming and Predictive Analytics in Agriculture ContextAgriculture ContextAgriculture ContextAgriculture ContextAgriculture ContextAgriculture ContextAgriculture ContextAgriculture ContextAgriculture ContextAgriculture ContextAgriculture Context Agriculture ContextAgriculture ContextAgriculture ContextAgriculture ContextAgriculture ContextAgriculture ContextAgriculture. International Journal of Engineering and Advanced Technology. 9(1s5). 74–80. 1 indexed citations
13.
Sandha, Sandeep Singh, et al.. (2019). In-database distributed machine learning. Proceedings of the VLDB Endowment. 12(12). 1854–1857. 8 indexed citations
14.
Manikandan, L. C., et al.. (2017). A study and analysis on block matching algorithms for motion estimation in video coding. Cluster Computing. 22(S5). 11773–11780. 1 indexed citations
15.
Crolotte, Alain, et al.. (2017). Optimizing UNION ALL Join Queries in Teradata. 1209–1212. 1 indexed citations
16.
Nair, Sanjay & P. Aruna. (2015). Comparison of DCT, SVD and BFOA based multimodal biometric watermarking systems. Alexandria Engineering Journal. 54(4). 1161–1174. 17 indexed citations
17.
18.
Nair, Sanjay, et al.. (2014). Sparse Representation Fusion of Fingerprint, Iris and Palmprint Biometric Features. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Najm Us Sama Breakdown of academic impact, for papers by K. P. Sanal Kumar Breakdown of academic impact, for papers by Rehan Ashraf Breakdown of academic impact, for papers by Ghadah Naif Alwakid Breakdown of academic impact, for papers by Roshan Fernandes Breakdown of academic impact, for papers by Warner ten Kate Breakdown of academic impact, for papers by Victor Pomponiu Breakdown of academic impact, for papers by Antesar Shabut Breakdown of academic impact, for papers by Alhassan Mabrouk Breakdown of academic impact, for papers by B. Saravana Balaji
Rankless by CCL
2026