T Anjali

1.2k total citations
117 papers, 554 citations indexed

About

T Anjali is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, T Anjali has authored 117 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 23 papers in Artificial Intelligence and 19 papers in Information Systems. Recurrent topics in T Anjali's work include IoT-based Smart Home Systems (9 papers), Network Security and Intrusion Detection (8 papers) and Advanced Neural Network Applications (7 papers). T Anjali is often cited by papers focused on IoT-based Smart Home Systems (9 papers), Network Security and Intrusion Detection (8 papers) and Advanced Neural Network Applications (7 papers). T Anjali collaborates with scholars based in India, United States and Belgium. T Anjali's co-authors include S Abhishek, S Remya, M. M. Rao, Tapan K. Sarkar, Raviraj Adve, Mounu Prem, Vijayan Sugumaran, Rammohan Mallipeddi, Somula Ramasubbareddy and Yongyun Cho and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Microwave Theory and Techniques.

In The Last Decade

T Anjali

91 papers receiving 502 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T Anjali India 14 131 102 94 61 55 117 554
I. Jeena Jacob India 11 183 1.4× 63 0.6× 138 1.5× 42 0.7× 75 1.4× 39 497
Rahul Chauhan India 10 189 1.4× 76 0.7× 186 2.0× 36 0.6× 56 1.0× 229 767
Jiangbo Qian China 13 207 1.6× 73 0.7× 180 1.9× 40 0.7× 58 1.1× 97 573
Noreen Jamil New Zealand 9 118 0.9× 68 0.7× 102 1.1× 54 0.9× 76 1.4× 31 474
Maria Valueva Russia 7 116 0.9× 66 0.6× 143 1.5× 34 0.6× 72 1.3× 26 462
Kamal Kumar Ghanshala India 9 128 1.0× 122 1.2× 122 1.3× 31 0.5× 74 1.3× 26 537
Jian Zhao China 15 362 2.8× 65 0.6× 127 1.4× 37 0.6× 42 0.8× 134 800
Rongjun Chen China 13 184 1.4× 53 0.5× 78 0.8× 49 0.8× 65 1.2× 59 481
Sourav Mishra India 7 127 1.0× 39 0.4× 150 1.6× 31 0.5× 36 0.7× 21 534
Ashish Kumar India 12 206 1.6× 46 0.5× 123 1.3× 22 0.4× 58 1.1× 78 598

Countries citing papers authored by T Anjali

Since Specialization
Citations

This map shows the geographic impact of T Anjali'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 T Anjali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Anjali more than expected).

Fields of papers citing papers by T Anjali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Anjali

This figure shows the co-authorship network connecting the top 25 collaborators of T Anjali. A scholar is included among the top collaborators of T Anjali 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 T Anjali. T Anjali 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.
Anjali, T, et al.. (2025). A novel framework for rosacea detection using Swin Transformers and explainable artificial intelligence. Alexandria Engineering Journal. 118. 36–58. 5 indexed citations
2.
Anuradha, M., et al.. (2025). Beyond X-ray: Deep Learning Solutions for Gastrointestinal Bleeding. Procedia Computer Science. 259. 1306–1315. 1 indexed citations
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Abhishek, S, et al.. (2024). Multimodal Integration of an Enhanced Novel Pulmonary Auscultation Real-Time Diagnostic System. IEEE Multimedia. 31(3). 18–43. 1 indexed citations
6.
Anjali, T, et al.. (2024). Enhancing Brain Tumor Diagnosis: A CNN-Based Multi-Class Classification Approach. 1–6. 4 indexed citations
7.
Anjali, T, et al.. (2024). Visual Question Answering in Malayalam Text. 225–232. 1 indexed citations
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Nandakumar, Govind, et al.. (2023). DiabeteAI: Harnessing Machine Learning for Early Detection and Beyond. 197–205.
11.
Anjali, T, et al.. (2023). An Ensemble Approach for Visual Testing of Web Applications. 29. 1–5. 2 indexed citations
12.
Abhishek, S, et al.. (2023). Towards Accurate Auscultation Sound Classification with Convolutional Neural Network. 904. 254–260. 6 indexed citations
13.
Abhishek, S, et al.. (2023). Cultivating Customer Purchase Intent: Leveraging Machine Learning for Precise Predictions. 374–379. 2 indexed citations
14.
Anjali, T, et al.. (2023). Analysis of Alcoholic EEG Signal using Semantic Technologies. 171–175. 4 indexed citations
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Anjali, T, et al.. (2021). Secure File Storage using Hybrid Cryptography. 1–6. 14 indexed citations
17.
Anjali, T. (2018). HR Analytics and its Impact on Organizational Excellence. International Journal of Trend in Scientific Research and Development. 1 indexed citations
18.
Anjali, T, et al.. (2018). Vulnerabilities in key management schemes in body sensor network. CSI Transactions on ICT. 6(2). 149–154.
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20.
Saniie, Jafar, et al.. (2015). Transforming computer engineering laboratory courses for distance learning and collaboration. International journal of engineering education. 31(1). 106–120. 6 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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