Rajit Nair

1.3k total citations
39 papers, 372 citations indexed

About

Rajit Nair is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Rajit Nair has authored 39 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Computer Networks and Communications. Recurrent topics in Rajit Nair's work include IoT and Edge/Fog Computing (7 papers), COVID-19 diagnosis using AI (5 papers) and AI in cancer detection (4 papers). Rajit Nair is often cited by papers focused on IoT and Edge/Fog Computing (7 papers), COVID-19 diagnosis using AI (5 papers) and AI in cancer detection (4 papers). Rajit Nair collaborates with scholars based in India, Iraq and Saudi Arabia. Rajit Nair's co-authors include Syam Machinathu Parambil Gangadharan, Ramgopal Kashyap, Ali Rizwan, Miguel Botto-Tobar, Mukesh Soni, Deepika Koundal, Santosh Kumar Vishwakarma, Tejas Patel, Shubham Joshi and Preeti Sharma and has published in prestigious journals such as Computational Intelligence and Neuroscience, Wireless Communications and Mobile Computing and Diagnostics.

In The Last Decade

Rajit Nair

24 papers receiving 356 citations

Peers

Rajit Nair

AI

RNMI

CVPR

CNC

IS

Nasmin Jiwani United States

Muhammad Sheraz Arshad Malik Pakistan

Yunlei Sun China

Jiangang Ma Australia

Summrina Kanwal Saudi Arabia

Ronnie D. Caytiles South Korea

Zahia Guessoum France

Zongda Wu China

Ramazan Terzi Türkiye

S. Praveena India

Nasmin Jiwani United States

Rajit Nair

100 ×1.0

AI

46 ×0.5

RNMI

42 ×0.6

CVPR

89 ×1.3

CNC

74 ×1.3

IS

Citations per year, relative to Rajit Nair Rajit Nair (= 1×) peers Nasmin Jiwani

Countries citing papers authored by Rajit Nair

Since Specialization

Citations

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

Fields of papers citing papers by Rajit Nair

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajit Nair

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

All Works

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20 of 20 papers shown

1.

Nair, Rajit, Mosleh Hmoud Al-Adhaileh, Ramgopal Kashyap, et al.. (2025). Harnessing Advanced Deep Learning Techniques for Enhanced Accuracy and Efficiency in Arthroplasty. Engineered Science.

2.

Al-Hamadi, Ayoub, Sultan Ahmad, Rajit Nair, et al.. (2025). Medical Images Noise Removal using Improved Adversarial Generative Network. 4. 838–838.

3.

Byeon, Haewon, et al.. (2025). Quantum Computing Approaches for High-Speed Visual Search. 1907–1912.

4.

Nair, Rajit, et al.. (2025). Bayesian Inference and Hypothesis Driven Methods for Neuroimaging and Biomedical Data Analysis. 1–6.

5.

Maaliw, Renato R., et al.. (2025). AI-Driven Compression Techniques for Redundancy Removal and Efficient Real-Time Communication in Healthcare Networks. 1–6.

6.

Zahra, Musaddak Maher Abdul, et al.. (2025). Ensuring Informed Consent and Fair Access to Artificial Intelligence Enhanced Healthcare Services. 1–8.

7.

Ramesh, B., et al.. (2024). Innovative Computational Fluid Dynamics Techniques for Enhanced Predictive Modeling in Multiphase Flow and Heat Exchanger Optimization. 1–6.

8.

Nair, Rajit, et al.. (2024). Magnetic Resonance Image Analysis: A Healthcare System. 1–5.

9.

Tyagi, Pankaj, Alok A. Bhatt, Ayushi Agarwal, Ketan Sharma, & Rajit Nair. (2024). Enhancing Data Integrity: Enforcing Ownership and Authorization Protocols in Machine Learning Model Development. 1–7.

10.

Nair, Rajit, et al.. (2023). Natural Language Processing to Improve Optimal Customized Treatment in Clinical Decision Support Systems. 1–6. 6 indexed citations

11.

Nair, Rajit. (2023). Unraveling the Decision-making Process Interpretable Deep Learning IDS for Transportation Network Security. 12(2). 69–82. 2 indexed citations

12.

Nair, Rajit, et al.. (2023). Hybrid Recommender System for Mental Illness Detection in Social Media Using Deep Learning Techniques. Computational Intelligence and Neuroscience. 2023(1). 8110588–8110588. 4 indexed citations

13.

Nair, Rajit, et al.. (2022). Blockchain-Based Decentralized Cloud Solutions for Data Transfer. Computational Intelligence and Neuroscience. 2022. 1–12. 14 indexed citations

14.

Sharma, Tripti, et al.. (2022). ReLeC: A Reinforcement Learning‐Based Clustering‐Enhanced Protocol for Efficient Energy Optimization in Wireless Sensor Networks. Wireless Communications and Mobile Computing. 2022(1). 18 indexed citations

15.

Kashyap, Ramgopal, et al.. (2022). Glaucoma Detection and Classification Using Improved U-Net Deep Learning Model. Healthcare. 10(12). 2497–2497. 76 indexed citations

16.

Aldhyani, Theyazn H. H., et al.. (2022). Deep Learning Model for the Detection of Real Time Breast Cancer Images Using Improved Dilation-Based Method. Diagnostics. 12(10). 2505–2505. 25 indexed citations

17.

Nair, Rajit, Preeti Sharma, & Tripti Sharma. (2022). Optimizing the Performance of IoT Using FPGA as Compared to GPU. International Journal of Grid and High Performance Computing. 14(1). 1–15. 6 indexed citations

18.

Nair, Rajit, et al.. (2022). Enhancing the performance measure of sentiment analysis through deep learning approach. International Journal of Computing and Digital Systems. 11(1). 1407–1414. 1 indexed citations

19.

Nair, Rajit, et al.. (2022). Impact of Wireless Sensor Data Mining with Hybrid Deep Learning for Human Activity Recognition. Wireless Communications and Mobile Computing. 2022(1). 16 indexed citations

20.

Nair, Rajit, Santosh Kumar Vishwakarma, Mukesh Soni, Tejas Patel, & Shubham Joshi. (2021). Detection of COVID-19 cases through X-ray images using hybrid deep neural network. World Journal of Engineering. 19(1). 33–39. 48 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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