Ramanathan Lakshmanan

907 total citations
57 papers, 434 citations indexed

About

Ramanathan Lakshmanan is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ramanathan Lakshmanan has authored 57 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 17 papers in Artificial Intelligence and 12 papers in Information Systems. Recurrent topics in Ramanathan Lakshmanan's work include IoT and Edge/Fog Computing (9 papers), Artificial Intelligence in Healthcare (5 papers) and Smart Agriculture and AI (5 papers). Ramanathan Lakshmanan is often cited by papers focused on IoT and Edge/Fog Computing (9 papers), Artificial Intelligence in Healthcare (5 papers) and Smart Agriculture and AI (5 papers). Ramanathan Lakshmanan collaborates with scholars based in India, Australia and Qatar. Ramanathan Lakshmanan's co-authors include Jie Chen, Mamoun Alazab, A. Puratchikody, V. Vijayakumar, M. Poongodi, S. Balakrishnan, K. Suresh Kumar, Abhishek Pandey, K. Vijayakumar and Balajee Maram and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Ramanathan Lakshmanan

48 papers receiving 397 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramanathan Lakshmanan India 14 110 110 107 71 43 57 434
A. Shanthini India 11 146 1.3× 119 1.1× 139 1.3× 79 1.1× 38 0.9× 29 424
Vandana Sharma India 15 143 1.3× 209 1.9× 101 0.9× 78 1.1× 57 1.3× 121 773
Gunjan Chhabra India 12 58 0.5× 88 0.8× 93 0.9× 33 0.5× 53 1.2× 82 432
Zoltán Illés Hungary 14 102 0.9× 126 1.1× 103 1.0× 76 1.1× 44 1.0× 83 573
Ghulam Ali Mallah Pakistan 12 84 0.8× 131 1.2× 90 0.8× 102 1.4× 63 1.5× 36 423
Saima Anwar Lashari Malaysia 10 66 0.6× 135 1.2× 108 1.0× 76 1.1× 70 1.6× 42 407
D. Kavitha India 10 99 0.9× 93 0.8× 110 1.0× 59 0.8× 47 1.1× 39 338
Pankaj Bhambri India 8 86 0.8× 94 0.9× 106 1.0× 57 0.8× 85 2.0× 34 418
Dongwon Jeong South Korea 8 113 1.0× 157 1.4× 74 0.7× 41 0.6× 22 0.5× 86 373

Countries citing papers authored by Ramanathan Lakshmanan

Since Specialization
Citations

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

Fields of papers citing papers by Ramanathan Lakshmanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramanathan Lakshmanan

This figure shows the co-authorship network connecting the top 25 collaborators of Ramanathan Lakshmanan. A scholar is included among the top collaborators of Ramanathan Lakshmanan 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 Ramanathan Lakshmanan. Ramanathan Lakshmanan 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.
Lakshmanan, Ramanathan, et al.. (2025). Stress Detection Using Machine Learning and Deep Learning Techniques: A Systematic Review and Meta-Analysis. Archives of Computational Methods in Engineering.
2.
Lakshmanan, Ramanathan, et al.. (2025). FB-PNet: A Semantic Segmentation Model for Automated Plant Leaf and Disease Annotation. International Journal of Advanced Computer Science and Applications. 16(5).
3.
Lakshmanan, Ramanathan, et al.. (2024). Multimodal healthcare data classification with Tangent Namib Beetle Optimization based routing in blockchain based IoT. Computers & Electrical Engineering. 120. 109614–109614. 3 indexed citations
4.
Lakshmanan, Ramanathan, et al.. (2024). An improved data aggregation for fog computing devices in internet of things. International Journal of Networking and Virtual Organisations. 30(2). 114–133. 1 indexed citations
5.
6.
Lakshmanan, Ramanathan, et al.. (2023). Time Series-based Driving Event Recognition for Two Wheelers. 1–2. 1 indexed citations
7.
Maram, Balajee, et al.. (2023). ASCA-squeeze net: Aquila sine cosine algorithm enabled hybrid deep learning networks for digital image forgery detection. Computers & Security. 128. 103155–103155. 13 indexed citations
8.
Lakshmanan, Ramanathan, et al.. (2023). QCNN_BaOpt: Multi-Dimensional Data-Based Traffic-Volume Prediction in Cyber–Physical Systems. Sensors. 23(3). 1485–1485. 3 indexed citations
9.
Murali, S., et al.. (2023). Blindness detection in diabetic retinopathy using Bayesian variant-based connected component algorithm in Keras and TensorFlow. SHILAP Revista de lepidopterología. 23(3). 575–584.
10.
Lakshmanan, Ramanathan, et al.. (2023). Automated Patient Activity Identification in Cyber-physical Systems UsingA Unique Deep Learning Approach and Multi-objective Optimization. International Journal of Sensors Wireless Communications and Control. 13(5). 339–352. 4 indexed citations
11.
Chen, Jie, Ramanathan Lakshmanan, & Mamoun Alazab. (2020). Holistic big data integrated artificial intelligent modeling to improve privacy and security in data management of smart cities. Microprocessors and Microsystems. 81. 103722–103722. 69 indexed citations
12.
Mahendran, Anand, et al.. (2019). Trusted Third Party Auditing For Cloud Security Using Digital Signature And Dna Cryptography. International journal of scientific and technology research. 8(12). 687–692. 1 indexed citations
13.
Lakshmanan, Ramanathan, et al.. (2019). Predicting Source and Age of Brain Tumor Using Canny Edge Detection Algorithm and Threshold Technique. Asian Pacific Journal of Cancer Prevention. 20(5). 1409–1414. 15 indexed citations
14.
Lakshmanan, Ramanathan, et al.. (2019). Using Citation Context to Improve the Retrieval of Research Article from Cancer Research Journals. Asian Pacific Journal of Cancer Prevention. 20(3). 951–960. 3 indexed citations
15.
Jain, Shubham, et al.. (2017). Software Maintenance: Challenges and Issues and Models for Reducing the Maintenance Cost. International Journal of Advanced Research in Computer Science. 8(3). 1026–1032. 1 indexed citations
16.
Lakshmanan, Ramanathan, et al.. (2016). Student Performance Prediction Model Based on Lion-Wolf Neural Network. International journal of intelligent engineering and systems. 10(1). 114–123. 7 indexed citations
17.
Lakshmanan, Ramanathan, et al.. (2014). Mining Educational Data for Students' Placement Prediction using Sum of Difference Method. International Journal of Computer Applications. 99(18). 36–39. 5 indexed citations
18.
Lakshmanan, Ramanathan, et al.. (2014). How did we win the Sustainability Game Through Enterprise Risk Management. 1 indexed citations
19.
Lakshmanan, Ramanathan, et al.. (2013). Predicting Students' Performance using Modified ID3 Algorithm. 5(3). 2491–2497. 15 indexed citations
20.

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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