M. Ramalingam

1.2k total citations · 1 hit paper
41 papers, 444 citations indexed

About

M. Ramalingam is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, M. Ramalingam has authored 41 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Information Systems, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Artificial Intelligence. Recurrent topics in M. Ramalingam's work include Groundwater and Watershed Analysis (5 papers), Cloud Data Security Solutions (4 papers) and Flood Risk Assessment and Management (4 papers). M. Ramalingam is often cited by papers focused on Groundwater and Watershed Analysis (5 papers), Cloud Data Security Solutions (4 papers) and Flood Risk Assessment and Management (4 papers). M. Ramalingam collaborates with scholars based in India, Lebanon and Canada. M. Ramalingam's co-authors include Thippa Reddy Gadekallu, Gokul Yenduri, Gautam Srivastava, Y. Supriya, B. Prabadevi, Praveen Kumar Reddy Maddikunta, Rutvij H. Jhaveri, Weizheng Wang, Athanasios V. Vasilakos and G. Deepti Raj and has published in prestigious journals such as IEEE Access, Natural Hazards and Computer Communications.

In The Last Decade

M. Ramalingam

37 papers receiving 407 citations

Hit Papers

GPT (Generative Pre-Trained Transformer)— A Comprehensive... 2024 2026 2025 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Ramalingam India 9 157 48 46 44 42 41 444
J. Paul Gibson Ireland 15 227 1.4× 48 1.0× 138 3.0× 55 1.3× 4 0.1× 72 832
Eduardo C. Garrido‐Merchán Spain 10 156 1.0× 12 0.3× 22 0.5× 18 0.4× 24 0.6× 21 460
Muhammad Attique Khan Saudi Arabia 14 134 0.9× 14 0.3× 50 1.1× 75 1.7× 4 0.1× 76 492
Jiaqi Zeng China 11 197 1.3× 33 0.7× 30 0.7× 34 0.8× 20 0.5× 44 514
Ankush Manocha India 13 91 0.6× 37 0.8× 66 1.4× 98 2.2× 10 0.2× 40 444
Mark Crowley Canada 11 103 0.7× 89 1.9× 32 0.7× 37 0.8× 8 0.2× 33 392
Shailender Kumar India 10 183 1.2× 23 0.5× 48 1.0× 28 0.6× 6 0.1× 52 452
Mukesh Kumar India 13 169 1.1× 40 0.8× 130 2.8× 118 2.7× 19 0.5× 55 584
Marcin Budka United Kingdom 15 317 2.0× 10 0.2× 53 1.2× 49 1.1× 3 0.1× 55 851

Countries citing papers authored by M. Ramalingam

Since Specialization
Citations

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

Fields of papers citing papers by M. Ramalingam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Ramalingam

This figure shows the co-authorship network connecting the top 25 collaborators of M. Ramalingam. A scholar is included among the top collaborators of M. Ramalingam 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 M. Ramalingam. M. Ramalingam 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.
Yenduri, Gokul, M. Ramalingam, Y. Supriya, et al.. (2024). GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions. IEEE Access. 12. 54608–54649. 215 indexed citations breakdown →
2.
Ramalingam, M., Nancy Victor, Rajeswari Chengoden, et al.. (2023). A Comprehensive Analysis of Blockchain Applications for Securing Computer Vision Systems. IEEE Access. 11. 107309–107330. 5 indexed citations
3.
Yenduri, Gokul, et al.. (2023). Explainable AI for the Metaverse: A Short Survey. 1–6. 2 indexed citations
4.
Ramalingam, M., et al.. (2022). Analyzing Accuracy of Road Accident Dataset based on Fatality Rate. 2022 6th International Conference on Computing Methodologies and Communication (ICCMC). 801–806.
5.
Ramalingam, M., et al.. (2022). An Automated Framework For Dynamic Web Information Retrieval Using Deep Learning. 2022 International Conference on Computer Communication and Informatics (ICCCI). 1–6. 8 indexed citations
6.
Ramalingam, M., et al.. (2021). An Efficient and Effective Blockchain-based Data Aggregation for Voting System. 1–4. 3 indexed citations
7.
Ramalingam, M., et al.. (2020). Face Emotion Identification System for Visually Challenged Persons using Machine Learning. International Journal of Advanced Trends in Computer Science and Engineering. 9(5). 8309–8314. 8 indexed citations
9.
Ramalingam, M., et al.. (2018). Remote sensing and GIS in the recent Chennai flood study. Nanotechnology for Environmental Engineering. 4(1). 3 indexed citations
10.
Ramalingam, M., et al.. (2016). Opportunistic Cluster Based Broadcasting Using Selective Reliable Broadcast in VANET. 8(1). 35–40. 4 indexed citations
11.
Ramalingam, M., et al.. (2013). Secure Semantic Aware Middleware: a Security Based Semantic Access Control for Web Services. International Review on Computers and Software (IRECOS). 8(9). 2137–2141. 4 indexed citations
12.
Sathishkumar, K. & M. Ramalingam. (2013). AN EFFICIENT ARTIFICIAL BEE COLONYAND FUZZY C MEANS BASEDCLUSTERING GENE EXPRESSION DATA. International Journal of Innovative Research in Computer and Communication Engineering. 1(5). 1125–1131. 4 indexed citations
13.
Ramalingam, M., et al.. (2013). A FINE-GRAINED SERVICE-ORIENTED IDENTITY AUTHENTICATION AND PRIVACY PROTECTION METHOD. 1 indexed citations
14.
Ramalingam, M., et al.. (2012). Remote Sensing and GIS Tool to Detect Hydrocarbon Prospect in Nagapattinam Sub Basin, India. Geotechnical and Geological Engineering. 31(1). 267–277. 3 indexed citations
15.
Manonmani, R., et al.. (2012). Application of GIS in urban utility mapping using image processing techniques. Geo-spatial Information Science. 15(4). 271–275. 5 indexed citations
16.
Lakshumanan, C., et al.. (2011). Remote Sensing and GIS Based Tectonic Evolution Studies in Parts of Dindigul and Tiruchirappalli District, Tamilnadu. International journal of Geomatics and Geosciences. 2(1). 157–163. 1 indexed citations
17.
Janarthanam, Srinivasan, M. Ramalingam, & Paliath Narendran. (2010). Texture analysis on low resolution images using unsupervised segmentation algorithm with multichannel Local Frequency analysis. 260–265. 1 indexed citations
18.
Raju, Kati, et al.. (2010). Remote Sensing and GIS Applications on Change Detection Study in Coastal Zone Using Multi Temporal Satellite Data. International journal of Geomatics and Geosciences. 1(2). 159–166. 29 indexed citations
19.
Diwakar, P. G., V. Jayaraman, V. Bhanumurthy, & M. Ramalingam. (2009). Geospatial Applications in Tsunami Disaster Management. International Journal of Ecology & Development. 12. 4–14. 1 indexed citations
20.
Rangaswami, G. & M. Ramalingam. (1961). The Influence of Microorganisms in Soil Aggregation. Journal of the Indian Society of Soil Science. 9(3). 193–195. 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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