Palaniappan Ramu

2.0k total citations · 1 hit paper
75 papers, 1.3k citations indexed

About

Palaniappan Ramu is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Civil and Structural Engineering. According to data from OpenAlex, Palaniappan Ramu has authored 75 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics, Probability and Uncertainty, 24 papers in Computational Theory and Mathematics and 15 papers in Civil and Structural Engineering. Recurrent topics in Palaniappan Ramu's work include Probabilistic and Robust Engineering Design (25 papers), Advanced Multi-Objective Optimization Algorithms (24 papers) and Structural Health Monitoring Techniques (12 papers). Palaniappan Ramu is often cited by papers focused on Probabilistic and Robust Engineering Design (25 papers), Advanced Multi-Objective Optimization Algorithms (24 papers) and Structural Health Monitoring Techniques (12 papers). Palaniappan Ramu collaborates with scholars based in India, United States and Türkiye. Palaniappan Ramu's co-authors include S. Edward Jero, Nagesh Kolagani, Michael K. McCall, Marit E. Kragt, Frank Ostermann, Alexey Voinov, Pierre D. Glynn, Suzanne A. Pierce, Ramakrishnan Swaminathan and Raphael T. Haftka and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Palaniappan Ramu

69 papers receiving 1.3k citations

Hit Papers

Modelling with stakeholders – Next generation 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Palaniappan Ramu India 17 277 229 218 190 188 75 1.3k
Changxi Ma China 31 169 0.6× 122 0.5× 79 0.4× 144 0.8× 24 0.1× 207 3.8k
Chengcheng Xu China 40 107 0.4× 79 0.3× 92 0.4× 261 1.4× 35 0.2× 199 5.1k
Zheng O’Neill United States 37 210 0.8× 128 0.6× 146 0.7× 350 1.8× 92 0.5× 152 4.7k
Nii Attoh-Okine United States 25 135 0.5× 118 0.5× 59 0.3× 1.5k 8.1× 56 0.3× 119 2.6k
J. M. Maestre Spain 30 29 0.1× 117 0.5× 71 0.3× 578 3.0× 105 0.6× 197 3.3k
Arnab Majumdar United Kingdom 26 367 1.3× 46 0.2× 186 0.9× 201 1.1× 19 0.1× 171 2.1k
Yue Pan China 29 163 0.6× 173 0.8× 70 0.3× 1.1k 6.0× 78 0.4× 77 3.4k
Francisco Javier de Cos Juez Spain 27 83 0.3× 77 0.3× 80 0.4× 86 0.5× 23 0.1× 71 2.2k
Adrian Chong Singapore 30 56 0.2× 103 0.4× 150 0.7× 121 0.6× 39 0.2× 98 2.8k
İnci Batmaz Türkiye 14 94 0.3× 33 0.1× 158 0.7× 29 0.2× 69 0.4× 32 1.1k

Countries citing papers authored by Palaniappan Ramu

Since Specialization
Citations

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

Fields of papers citing papers by Palaniappan Ramu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Palaniappan Ramu

This figure shows the co-authorship network connecting the top 25 collaborators of Palaniappan Ramu. A scholar is included among the top collaborators of Palaniappan Ramu 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 Palaniappan Ramu. Palaniappan Ramu 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.
Ramu, Palaniappan, et al.. (2025). IoT security assisted by machine learning: Unresolved problems and difficulties in the face of advanced persistent threats. AIP conference proceedings. 3162. 20111–20111.
2.
Mohanraj, M., et al.. (2025). Machine learning enabled prediction of high temperature mechanical behavior in additively manufactured AlSi9Cu3 alloy. Journal of Materials Research and Technology. 41. 699–714.
3.
Ramu, Palaniappan, et al.. (2025). Handling objective preference and variable uncertainty in evolutionary multi-objective optimization. Swarm and Evolutionary Computation. 94. 101860–101860. 2 indexed citations
4.
Ramu, Palaniappan, et al.. (2025). A directed batch growing self-organizing map based niching differential evolution for multimodal optimization problems. Applied Soft Computing. 172. 112862–112862. 2 indexed citations
5.
Ramu, Palaniappan, et al.. (2024). Authentication Technique for Safeguarding Privacy in Smart Grid Settings. SHILAP Revista de lepidopterología. 540. 10014–10014. 39 indexed citations
6.
Natarajan, Sundararajan, et al.. (2024). Scaled boundary finite element based two-level learning approach for structural flaw identification. Engineering Analysis with Boundary Elements. 166. 105855–105855. 2 indexed citations
7.
Ramu, Palaniappan, et al.. (2024). Adaptive sampling based estimation of small probability of failure using interpretable Self-Organising Map. Structural Safety. 109. 102470–102470. 5 indexed citations
8.
Ramu, Palaniappan, et al.. (2024). Keystroke Authentication Using a Novel RTS Framework. 1–6.
9.
Ramu, Palaniappan, et al.. (2023). Evaluation of geometric differences between right and left lungs in bacterial pneumonia chest radiographs. Biomedical Signal Processing and Control. 85. 105000–105000. 2 indexed citations
10.
Ramu, Palaniappan, et al.. (2023). Data driven analysis of social capital in Farmer Producer Companies. Heliyon. 9(7). e17489–e17489. 4 indexed citations
11.
Ramu, Palaniappan, et al.. (2023). SBFEM and Bayesian inference for efficient multiple flaw detection in structures. Engineering Analysis with Boundary Elements. 155. 226–250. 6 indexed citations
12.
Ramu, Palaniappan, et al.. (2023). Visualization-aided multi-criteria decision-making using interpretable self-organizing maps. European Journal of Operational Research. 309(3). 1183–1200. 14 indexed citations
13.
Ramu, Palaniappan, et al.. (2022). Differentiation of COVID-19 Conditions using Mediastinum Shape in Chest X-ray Images. SHILAP Revista de lepidopterología. 8(2). 325–328. 1 indexed citations
14.
Ramu, Palaniappan, et al.. (2022). Visualization and analysis of Pareto-optimal fronts using interpretable self-organizing map (iSOM). Swarm and Evolutionary Computation. 76. 101202–101202. 21 indexed citations
15.
Ramu, Palaniappan, et al.. (2022). A survey of machine learning techniques in structural and multidisciplinary optimization. Structural and Multidisciplinary Optimization. 65(9). 44 indexed citations
16.
Mathivanan, P., S. Edward Jero, Palaniappan Ramu, & A. Balaji Ganesh. (2018). QR code based patient data protection in ECG steganography. Australasian Physical & Engineering Sciences in Medicine. 41(4). 1057–1068. 23 indexed citations
17.
Voinov, Alexey, Nagesh Kolagani, Michael K. McCall, et al.. (2015). Modelling with stakeholders – Next generation. Environmental Modelling & Software. 77. 196–220. 417 indexed citations breakdown →
18.
Acar, Erdem & Palaniappan Ramu. (2014). Reliability Estimation Using Guided Tail Modeling with Adaptive Sampling. 5 indexed citations
20.
Ramu, Palaniappan. (2007). Multiple tail models including inverse measures for structural design under uncertainties. PhDT. 5 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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