Moirangthem Marjit Singh

534 total citations
26 papers, 306 citations indexed

About

Moirangthem Marjit Singh is a scholar working on Computer Networks and Communications, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Moirangthem Marjit Singh has authored 26 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 6 papers in Artificial Intelligence and 4 papers in Biomedical Engineering. Recurrent topics in Moirangthem Marjit Singh's work include Network Security and Intrusion Detection (9 papers), Security in Wireless Sensor Networks (7 papers) and Mobile Ad Hoc Networks (6 papers). Moirangthem Marjit Singh is often cited by papers focused on Network Security and Intrusion Detection (9 papers), Security in Wireless Sensor Networks (7 papers) and Mobile Ad Hoc Networks (6 papers). Moirangthem Marjit Singh collaborates with scholars based in India and Saudi Arabia. Moirangthem Marjit Singh's co-authors include Arindam Sarkar, Jyotsna Kumar Mandal, Utpal Nandi, Chiranjit Changdar, Rajat Kumar Pal, Mohammad Zubair Khan, Subhendu Kumar Pani, Abdulfattah Noorwali, Chinmay Chakraborty and Omar H. Alhazmi and has published in prestigious journals such as IEEE Access, Neural Computing and Applications and Multimedia Tools and Applications.

In The Last Decade

Moirangthem Marjit Singh

22 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moirangthem Marjit Singh India 8 210 131 62 40 32 26 306
Mahmoud I. Abdalla Egypt 8 98 0.5× 141 1.1× 63 1.0× 31 0.8× 40 1.3× 18 261
Tauqeer Safdar Malik Pakistan 9 139 0.7× 56 0.4× 29 0.5× 56 1.4× 27 0.8× 23 219
Masood Habib Pakistan 9 208 1.0× 55 0.4× 31 0.5× 62 1.6× 49 1.5× 18 347
Hasan Tahir Pakistan 11 172 0.8× 144 1.1× 104 1.7× 34 0.8× 57 1.8× 33 347
R. V. Dharaskar India 11 46 0.2× 100 0.8× 44 0.7× 12 0.3× 156 4.9× 45 349
Hao Kong China 9 96 0.5× 63 0.5× 98 1.6× 155 3.9× 81 2.5× 12 329
Mingshu He China 11 150 0.7× 156 1.2× 81 1.3× 16 0.4× 52 1.6× 35 261
Kwihoon Kim South Korea 7 185 0.9× 131 1.0× 43 0.7× 126 3.1× 22 0.7× 50 328
Shadi Nashwan Saudi Arabia 10 187 0.9× 73 0.6× 66 1.1× 45 1.1× 17 0.5× 35 295

Countries citing papers authored by Moirangthem Marjit Singh

Since Specialization
Citations

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

Fields of papers citing papers by Moirangthem Marjit Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moirangthem Marjit Singh. 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 Moirangthem Marjit Singh. The network helps show where Moirangthem Marjit Singh may publish in the future.

Co-authorship network of co-authors of Moirangthem Marjit Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Moirangthem Marjit Singh. A scholar is included among the top collaborators of Moirangthem Marjit Singh 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 Moirangthem Marjit Singh. Moirangthem Marjit Singh 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.
Nandi, Utpal, et al.. (2025). Tsi-cnn-net: truly shift-invariant convolutional neural network for Indian sign language recognition system. Pattern Analysis and Applications. 28(2). 1 indexed citations
2.
Nandi, Utpal, et al.. (2024). SWOSBC: A Novel Optimizer for Learning Convolutional Neural Network. IEEE Access. 12. 156458–156470.
3.
Singh, Moirangthem Marjit, et al.. (2024). Ensemble Transfer Learning for Image Classification. ECTI Transactions on Computer and Information Technology (ECTI-CIT). 19(1). 25–36.
4.
Singh, Moirangthem Marjit, et al.. (2023). A novel ensemble learning-based model for network intrusion detection. Complex & Intelligent Systems. 9(5). 5693–5714. 60 indexed citations
5.
Singh, Moirangthem Marjit, et al.. (2023). A novel deep neural network model using network deconvolution with attention based activation for crop disease classification. Multimedia Tools and Applications. 83(6). 17025–17045. 2 indexed citations
6.
Nandi, Utpal, et al.. (2023). Indian sign language recognition system using network deconvolution and spatial transformer network. Neural Computing and Applications. 35(28). 20889–20907. 8 indexed citations
7.
Singh, Moirangthem Marjit, et al.. (2023). Machine Learning-Based DoS Attack Detection Techniques in Wireless Sensor Network: A Review. 583–591. 7 indexed citations
8.
Sarkar, Arindam, et al.. (2023). An efficient deep learning-based solution for network intrusion detection in wireless sensor network. International Journal of Systems Assurance Engineering and Management. 14(6). 2423–2446. 7 indexed citations
9.
Nandi, Utpal, et al.. (2022). Indian sign language alphabet recognition system using CNN with diffGrad optimizer and stochastic pooling. Multimedia Tools and Applications. 82(7). 9627–9648. 39 indexed citations
10.
Sarkar, Arindam, et al.. (2022). A supervised machine learning-based solution for efficient network intrusion detection using ensemble learning based on hyperparameter optimization. International Journal of Information Technology. 15(1). 423–434. 37 indexed citations
11.
Singh, Moirangthem Marjit, et al.. (2022). Recent Researches on Image Classification Using Deep Learning Approach. International Journal of Computing and Digital Systems. 12(6). 1357–1374. 4 indexed citations
12.
Singh, Moirangthem Marjit, et al.. (2021). A novel wide & deep transfer learning stacked GRU framework for network intrusion detection. Journal of Information Security and Applications. 61. 102899–102899. 30 indexed citations
13.
Sarkar, Arindam, Mohammad Zubair Khan, Moirangthem Marjit Singh, et al.. (2021). Artificial Neural Synchronization Using Nature Inspired Whale Optimization. IEEE Access. 9. 16435–16447. 32 indexed citations
14.
Singh, Moirangthem Marjit & Jyotsna Kumar Mandal. (2019). Gray Hole Attack Analysis in AODV Based Mobile Adhoc Network with Reliability Metric. 76. 565–569. 1 indexed citations
15.
Singh, Moirangthem Marjit, et al.. (2018). Wormhole Attack in Wireless Sensor Networks: A Critical Review. Advances in intelligent systems and computing. 147–161. 13 indexed citations
16.
Singh, Moirangthem Marjit, et al.. (2017). Security Issues in Wireless Sensor Network. IEEE International Conference on Cloud Computing Technology and Science. 5(2). 7–16. 1 indexed citations
17.
Singh, Moirangthem Marjit & Jyotsna Kumar Mandal. (2017). Impact of black hole attack on reliability of mobile ad hoc network under DSDV routing protocol. International Journal of Systems Control and Communications. 9(1). 20–20. 2 indexed citations
18.
Singh, Moirangthem Marjit & Jyotsna Kumar Mandal. (2015). Reliability Analysis of Mobile Ad Hoc Network. 161–164. 5 indexed citations
19.
Singh, Moirangthem Marjit, et al.. (2014). Reliability computation of mobile Ad-Hoc network using logistic regression. 24. 1–5. 4 indexed citations
20.
Mandal, Jyotsna Kumar, et al.. (2013). QoS of MANet Through Trust based AODV Routing Protocol by Exclusion of Black Hole Attack. Procedia Technology. 10. 530–537. 36 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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