Ninni Singh

981 total citations
28 papers, 427 citations indexed

About

Ninni Singh is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ninni Singh has authored 28 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 5 papers in Information Systems. Recurrent topics in Ninni Singh's work include Intelligent Tutoring Systems and Adaptive Learning (6 papers), Online Learning and Analytics (3 papers) and Network Security and Intrusion Detection (3 papers). Ninni Singh is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (6 papers), Online Learning and Analytics (3 papers) and Network Security and Intrusion Detection (3 papers). Ninni Singh collaborates with scholars based in India, Saudi Arabia and Malaysia. Ninni Singh's co-authors include Vinit Kumar Gunjan, Neelu Jyothi Ahuja, Kuruva Lakshmanna, Fahimuddin Shaik, Sudipta Roy, Nancy Victor, Rajesh Kaluri, Gopal Chaudhary, Amit Kumar and Wong Hin Yong and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Access and Sustainability.

In The Last Decade

Ninni Singh

28 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ninni Singh India 14 117 81 66 61 53 28 427
Amal Al‐Rasheed Saudi Arabia 14 194 1.7× 83 1.0× 77 1.2× 141 2.3× 94 1.8× 60 572
Gunjan Chhabra India 12 88 0.8× 33 0.4× 53 0.8× 93 1.5× 58 1.1× 82 432
Mahmoud Othman Egypt 11 136 1.2× 49 0.6× 21 0.3× 44 0.7× 56 1.1× 26 297
Mohd. Saifuzzaman Bangladesh 14 74 0.6× 67 0.8× 90 1.4× 76 1.2× 106 2.0× 29 491
Loc Nguyen United States 12 114 1.0× 129 1.6× 27 0.4× 14 0.2× 80 1.5× 53 392
A. Shanthini India 11 119 1.0× 79 1.0× 38 0.6× 139 2.3× 146 2.8× 29 424
Durmuş Özdemir Türkiye 12 99 0.8× 52 0.6× 52 0.8× 10 0.2× 20 0.4× 39 322
Stamatis Karlos Greece 10 265 2.3× 46 0.6× 30 0.5× 28 0.5× 49 0.9× 32 461
Kamran Ahsan Pakistan 12 171 1.5× 113 1.4× 48 0.7× 177 2.9× 85 1.6× 58 544
Narendra Patel India 12 62 0.5× 107 1.3× 60 0.9× 165 2.7× 48 0.9× 55 460

Countries citing papers authored by Ninni Singh

Since Specialization
Citations

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

Fields of papers citing papers by Ninni Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ninni Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Ninni Singh. A scholar is included among the top collaborators of Ninni 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 Ninni Singh. Ninni 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.
Singh, Ninni, Vinit Kumar Gunjan, Fahimuddin Shaik, & Sudipta Roy. (2024). Detection of Cardio Vascular abnormalities using gradient descent optimization and CNN. Health and Technology. 14(1). 155–168. 10 indexed citations
2.
Singh, Ninni, et al.. (2024). Sentiment Analysis Unleashed: Leveraging VADER for Evaluation of Public Opinion. 1–6. 2 indexed citations
3.
Kumar, Gaurav, et al.. (2022). An Effective Bootstrapping Framework for Web Services Discovery Using Trigram Approach. Mobile Information Systems. 2022. 1–12. 3 indexed citations
4.
Ramana, Kadiyala, et al.. (2022). Multipath Transmission Control Protocol for Live Virtual Machine Migration in the Cloud Environment. Wireless Communications and Mobile Computing. 2022(1). 3 indexed citations
5.
Singh, Ninni, et al.. (2022). Futuristic Opportunities and Challenges for Cognitive Tutoring Systems. 8. 1–6. 1 indexed citations
6.
Gunjan, Vinit Kumar, Ninni Singh, Fahimuddin Shaik, & Sudipta Roy. (2022). Detection of lung cancer in CT scans using grey wolf optimization algorithm and recurrent neural network. Health and Technology. 12(6). 1197–1210. 31 indexed citations
7.
Islam, Md. Shabiul, et al.. (2022). Development of Algorithms for an IoT‐Based Smart Agriculture Monitoring System. Wireless Communications and Mobile Computing. 2022(1). 39 indexed citations
8.
Singh, Ninni, Vinit Kumar Gunjan, & Moustafa M. Nasralla. (2022). A Parametrized Comparative Analysis of Performance Between Proposed Adaptive and Personalized Tutoring System “Seis Tutor” With Existing Online Tutoring System. IEEE Access. 10. 39376–39386. 18 indexed citations
9.
Singh, Ninni, et al.. (2022). Deep Learning and Transfer Learning for Malaria Detection. Computational Intelligence and Neuroscience. 2022. 1–14. 37 indexed citations
10.
Singh, Ninni, Vinit Kumar Gunjan, Amit Kumar Mishra, Ram Krishn Mishra, & Nishad Nawaz. (2022). SeisTutor: A Custom-Tailored Intelligent Tutoring System and Sustainable Education. Sustainability. 14(7). 4167–4167. 26 indexed citations
11.
Singh, Ninni, Vinit Kumar Gunjan, Gopal Chaudhary, et al.. (2022). IoT enabled HELMET to safeguard the health of mine workers. Computer Communications. 193. 1–9. 57 indexed citations
12.
Ansari, Mohd Dilshad, et al.. (2022). Rating-Based Recommender System Based on Textual Reviews Using IoT Smart Devices. Mobile Information Systems. 2022. 1–18. 26 indexed citations
13.
Kallam, Suresh, Ninni Singh, Vinit Kumar Gunjan, et al.. (2022). Multi-Controller Model for Improving the Performance of IoT Networks. Energies. 15(22). 8738–8738. 9 indexed citations
14.
Usman, Mohammed, et al.. (2022). Future Trends for Healthcare Monitoring System in Smart Cities Using LoRaWAN-Based WBAN. Mobile Information Systems. 2022. 1–12. 11 indexed citations
15.
Singh, Ninni & Neelu Jyothi Ahuja. (2019). Implementation and Evaluation of Intelligence Incorporated Tutoring System. International Journal of Innovative Technology and Exploring Engineering. 8(10). 4548–4558. 7 indexed citations
16.
Singh, Ninni & Neelu Jyothi Ahuja. (2019). Empirical Analysis of Explicating the Tacit Knowledge Background, Challenges and Experimental findings. International Journal of Innovative Technology and Exploring Engineering. 8(10). 4559–4568. 9 indexed citations
17.
Singh, Ninni & Neelu Jyothi Ahuja. (2019). Bug Model Based Intelligent Recommender System with Exclusive Curriculum Sequencing for Learner-Centric Tutoring. International Journal of Web-Based Learning and Teaching Technologies. 14(4). 1–25. 13 indexed citations
18.
Kumar, Amit, et al.. (2017). Learning styles based adaptive intelligent tutoring systems: Document analysis of articles published between 2001. and 2016.. International Journal of Cognitive Research in Science Engineering and Education. 5(2). 83–97. 25 indexed citations
19.
Singh, Ninni, et al.. (2015). Image data-deduplication using the block truncation coding technique. 154–158. 15 indexed citations
20.
Singh, Ninni, et al.. (2014). Digital Watermarking using Discrete Wavelet Techniques with the help of Multilevel Decomposition Technique. International Journal of Computer Applications. 101(2). 25–29. 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.

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