T. Manikandan

481 total citations
47 papers, 265 citations indexed

About

T. Manikandan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, T. Manikandan has authored 47 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Artificial Intelligence. Recurrent topics in T. Manikandan's work include IoT and Edge/Fog Computing (8 papers), Vehicular Ad Hoc Networks (VANETs) (8 papers) and Mobile Ad Hoc Networks (6 papers). T. Manikandan is often cited by papers focused on IoT and Edge/Fog Computing (8 papers), Vehicular Ad Hoc Networks (VANETs) (8 papers) and Mobile Ad Hoc Networks (6 papers). T. Manikandan collaborates with scholars based in India, Saudi Arabia and Ethiopia. T. Manikandan's co-authors include V. Vinoth Kumar, Shitharth Selvarajan, S. Ramesh, C. Senthilkumar, Eman Aldhahri, Rajanikanth Aluvalu, Fayadh Alenezi, Francesco Benedetto, Jerry Chun‐Wei Lin and Gautam Srivastava and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

T. Manikandan

38 papers receiving 246 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. Manikandan India 8 75 69 61 59 47 47 265
Bhaskar Pant India 12 87 1.2× 113 1.6× 99 1.6× 39 0.7× 17 0.4× 52 423
B. R. Rajakumar India 6 85 1.1× 89 1.3× 79 1.3× 77 1.3× 22 0.5× 16 331
Seifeddine Messaoud Tunisia 10 91 1.2× 112 1.6× 101 1.7× 120 2.0× 42 0.9× 23 386
S. Praveena India 7 117 1.6× 67 1.0× 110 1.8× 77 1.3× 27 0.6× 41 352
Hani Mahdi Egypt 8 71 0.9× 105 1.5× 28 0.5× 67 1.1× 30 0.6× 38 285
Muhammad Saqlain South Korea 7 77 1.0× 39 0.6× 198 3.2× 65 1.1× 16 0.3× 13 480
V. Arulkumar India 10 96 1.3× 97 1.4× 53 0.9× 129 2.2× 32 0.7× 20 380
Shail Kumar Dinkar India 9 163 2.2× 48 0.7× 43 0.7× 62 1.1× 12 0.3× 19 362
Ali Akbar Movassagh Iran 5 111 1.5× 75 1.1× 39 0.6× 59 1.0× 20 0.4× 8 277
Velmurugan Subbiah Parvathy India 10 88 1.2× 131 1.9× 62 1.0× 126 2.1× 64 1.4× 34 427

Countries citing papers authored by T. Manikandan

Since Specialization
Citations

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

Fields of papers citing papers by T. Manikandan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Manikandan

This figure shows the co-authorship network connecting the top 25 collaborators of T. Manikandan. A scholar is included among the top collaborators of T. Manikandan 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. Manikandan. T. Manikandan 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.
Manikandan, T., et al.. (2025). Enhancing cybersecurity in Agriculture 4.0: A high-performance hybrid deep learning-based framework for DDoS attack detection. Computers & Electrical Engineering. 126. 110431–110431. 1 indexed citations
2.
Manikandan, T., et al.. (2025). Blockchain enabled collective and combined deep learning framework for COVID19 diagnosis. Scientific Reports. 15(1). 16527–16527. 1 indexed citations
3.
Manikandan, T., et al.. (2025). A secure medical image encryption technique based on DNA cryptography with elliptic curves. Scientific Reports. 15(1). 20003–20003. 2 indexed citations
4.
Manikandan, T., et al.. (2024). A Comparative Study of Ad-Hoc Networks for Hybrid Protocol Development. 1–6. 1 indexed citations
5.
Manikandan, T., et al.. (2024). A Novel Hybrid Unsupervised Learning Approach for Enhanced Cybersecurity in the IoT. Future Internet. 16(7). 253–253. 8 indexed citations
6.
Ullah, Zahid, et al.. (2024). A Deep Learning Based Intelligent Decision Support System for Automatic Detection of Brain Tumor. SHILAP Revista de lepidopterología. 15. 3476603274–3476603274. 4 indexed citations
7.
Ramesh, S., et al.. (2023). Integration of IoT and edge cloud computing for smart microgrid energy management in VANET using machine learning. Computers & Electrical Engineering. 110. 108905–108905. 17 indexed citations
8.
Ramesh, S., et al.. (2023). Vehicular network energy storage system with renewable analysis using deep learning architectures. Computers & Electrical Engineering. 110. 108801–108801. 2 indexed citations
9.
Manikandan, T., et al.. (2023). A novel clustering and optimal resource scheduling in vehicular cloud networks using MKMA and the CM‐CSO algorithm. International Journal of Communication Systems. 36(5). 3 indexed citations
11.
Manikandan, T., et al.. (2023). A hybrid Square Shaped Adaptive Neuro-Fuzzy Interference with M-PeSOA model for optimal path selection. Journal of Intelligent & Fuzzy Systems. 44(4). 6483–6495. 1 indexed citations
12.
Manikandan, T., Shitharth Selvarajan, Sara A. Althubiti, et al.. (2022). Interaction of Secure Cloud Network and Crowd Computing for Smart City Data Obfuscation. Sensors. 22(19). 7169–7169. 15 indexed citations
13.
Manikandan, T., et al.. (2019). Implementation of VLSI Architecture for Montgomery Modular Multiplier. International Journal of Innovative Technology and Exploring Engineering. 9(1S). 218–221. 4 indexed citations
14.
Manikandan, T., et al.. (2019). Implementation of Low Power and Area Efficient Vedic Multiplier. International Journal of Innovative Technology and Exploring Engineering. 9(1S). 206–209. 3 indexed citations
15.
Manikandan, T., et al.. (2019). Resource Scheduling in Vehicular Cloud Network: A Survey. 2019 3rd International conference on Electronics, Communication and Aerospace Technology (ICECA). 6. 621–627. 3 indexed citations
16.
Manikandan, T., et al.. (2016). Lung Cancer Detection Using Fuzzy Auto-Seed Cluster Means Morphological Segmentation and SVM Classifier. Journal of Medical Systems. 40(7). 181–181. 49 indexed citations
17.
Gayathri, N., et al.. (2015). Recognition and Removal of Black Hole Attack for Secure Communication in MANETs. International Journal of Scientific Research in Science Engineering and Technology. 1(6). 527–534.
18.
Manikandan, T., et al.. (2014). Design of lung cancer specific questionnaires for the south Indian population. International Journal of Management, IT, and Engineering. 4(12). 311–331.
19.
Bupesh, Giridharan, et al.. (2013). Isolation, characterization and extraction of antimicrobial compound from marine actinomycete streptomyces hygroscopicus BDUS 49. KRIBB Repository. 4 indexed citations
20.
Manikandan, T., et al.. (2011). Lobar Fissure Extraction in Isotropic CT Lung Images - An Application to Cancer Identification. viXra. 33(6). 17–21. 2 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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