Amitava Nag

1.3k total citations
67 papers, 673 citations indexed

About

Amitava Nag is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Amitava Nag has authored 67 papers receiving a total of 673 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 17 papers in Computer Networks and Communications. Recurrent topics in Amitava Nag's work include Advanced Steganography and Watermarking Techniques (22 papers), Chaos-based Image/Signal Encryption (19 papers) and Cryptography and Data Security (14 papers). Amitava Nag is often cited by papers focused on Advanced Steganography and Watermarking Techniques (22 papers), Chaos-based Image/Signal Encryption (19 papers) and Cryptography and Data Security (14 papers). Amitava Nag collaborates with scholars based in India and United States. Amitava Nag's co-authors include Jyoti Prakash Singh, Nabajyoti Mazumdar, Sukumar Nandi, Soumadip Ghosh, Sushanta Biswas, S.K. Biswas, Partha Sarkar, Saswati Ghosh, Debasree Sarkar and Amit Kumar Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Amitava Nag

59 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amitava Nag India	15	285	231	164	119	57	67	673
Alaa Kadhim Farhan Iraq	16	468 1.6×	312 1.4×	126 0.8×	93 0.8×	53 0.9×	85	780
Vani Rajasekar India	13	156 0.5×	134 0.6×	112 0.7×	129 1.1×	79 1.4×	47	508
Mohammad Ahsan Chishti India	15	82 0.3×	147 0.6×	287 1.8×	154 1.3×	88 1.5×	59	565
B. Surendiran India	13	117 0.4×	307 1.3×	147 0.9×	114 1.0×	23 0.4×	54	540
Balasubramanian Prabhu Kavin India	11	65 0.2×	171 0.7×	162 1.0×	143 1.2×	45 0.8×	40	458
Shangping Zhong China	10	132 0.5×	186 0.8×	128 0.8×	138 1.2×	29 0.5×	54	423
Ghufran Ahmad Khan China	12	250 0.9×	284 1.2×	78 0.5×	71 0.6×	24 0.4×	25	581
Zhidong Shen China	12	70 0.2×	303 1.3×	203 1.2×	240 2.0×	41 0.7×	46	595
Eswaran Perumal India	11	95 0.3×	235 1.0×	93 0.6×	87 0.7×	39 0.7×	36	525
Adnan Mohsin Abdulazeez Brifcani Iraq	9	86 0.3×	338 1.5×	232 1.4×	44 0.4×	30 0.5×	11	490

Countries citing papers authored by Amitava Nag

Since Specialization

Citations

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

Fields of papers citing papers by Amitava Nag

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amitava Nag

This figure shows the co-authorship network connecting the top 25 collaborators of Amitava Nag. A scholar is included among the top collaborators of Amitava Nag 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 Amitava Nag. Amitava Nag 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

Nag, Amitava, et al.. (2025). Lightweight Multi Party Authorisation for IoT Device Access Using Bilinear Pairing and Shamir's Secret Sharing. Radioengineering. 34(3). 541–553. 1 indexed citations

Nag, Amitava, et al.. (2025). Convolutional neural network (CNN) and federated learning-based approach for lung disease detection. Iran Journal of Computer Science. 8(4). 2387–2408.

Nag, Amitava, et al.. (2025). A computational eye state classification model using EEG signal based on data mining techniques: comparative analysis. Physical and Engineering Sciences in Medicine. 48(4). 1761–1774.

Nag, Amitava, et al.. (2025). Fetal health risk prediction using ensemble-based machine learning approaches. Knowledge and Information Systems. 67(8). 7227–7261.

Nag, Amitava, et al.. (2025). An efficient artificial neural network-based optimization techniques for the early prediction of coronary heart disease: comprehensive analysis. Scientific Reports. 15(1). 4827–4827. 2 indexed citations

Mazumdar, Nabajyoti, et al.. (2024). Data Collection and Recharging of Sensor Node by Mobile Sink in Wireless Sensor Network. International Journal of Sensors Wireless Communications and Control. 15(4). 316–328. 1 indexed citations

Nag, Amitava, et al.. (2024). Word Sense Disambiguation applied to Assamese-Hindi Bilingual Statistical Machine Translation. Engineering Technology & Applied Science Research. 14(1). 12581–12586. 1 indexed citations

Nag, Amitava, et al.. (2024). Heart Failure Patients In-Hospital Mortality Risk Prediction Models Based on Regularization Techniques-Comprehensive Analysis. 1–6.

Gupta, Daya, Nabajyoti Mazumdar, Amitava Nag, & Jyoti Prakash Singh. (2023). Secure data authentication and access control protocol for industrial healthcare system. Journal of Ambient Intelligence and Humanized Computing. 14(5). 4853–4864. 28 indexed citations

10.

Nag, Amitava, et al.. (2023). Machine Learning-based maternal health risk prediction model for IoMT framework. International Journal of experimental research and review. 32. 145–159. 6 indexed citations

11.

Nag, Amitava, et al.. (2023). Favorite Book Prediction System Using Machine Learning Algorithms. SHILAP Revista de lepidopterología. 4(2). 983–991. 3 indexed citations

12.

Mazumdar, Nabajyoti, et al.. (2021). A Machine Learning Based Book Availability Prediction Model for Library Management System. Insecta mundi. 4 indexed citations

13.

Senapati, Apurbalal, et al.. (2020). A novel framework for COVID-19 case prediction through piecewise regression in India. International Journal of Information Technology. 13(1). 41–48. 25 indexed citations

14.

Ghosh, Soumadip, et al.. (2018). Sentiment Analysis in the Light of LSTM Recurrent Neural Networks. RePEc: Research Papers in Economics. 9(1). 33–39. 40 indexed citations

15.

Nag, Amitava, et al.. (2017). Secure Data Outsourcing on Cloud Using Secret Sharing Scheme.. Int. J. Netw. Secur.. 19. 912–921. 9 indexed citations

16.

Nag, Amitava, Sushanta Biswas, Debasree Sarkar, & Partha Sarkar. (2015). Semi Random Position Based Steganography for Resisting Statistical Steganalysis. International journal of network security. 17(1). 57–65. 2 indexed citations

17.

Nag, Amitava. (2014). Location-Based Image Steganography. 4(2). 3 indexed citations

18.

Nag, Amitava, Saswati Ghosh, Sushanta Biswas, Debasree Sarkar, & Partha Sarkar. (2012). An image steganography technique using X-box mapping. IEEE-International Conference On Advances In Engineering, Science And Management. 709–713. 30 indexed citations

19.

Nag, Amitava, et al.. (2011). NOVEL GRAY SCALE CONVERSION TECHNIQUES BASED ON PIXEL DEPTH. Journal of Global Research in Computer Sciences. 2(6). 118–125. 9 indexed citations

20.

Nag, Amitava, et al.. (2011). Image encryption using affine transform and XOR operation. 309–312. 69 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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