Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions
2024215 citationsGokul Yenduri, M. Ramalingam et al.IEEE Accessprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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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).
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 →
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
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.