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Sujatha Ramalingam

Shiv Nadar University, ChennaiIN
ORCID0000-0002-3379-6776
h-index
6

via OpenAlex

Citations
144

via OpenAlex

Publications
23

About

Sujatha Ramalingam is a researcher at Shiv Nadar University, Chennai. She works on applying graph theory to real-world problems, particularly in network optimization and vulnerability analysis. Her research focuses on using mathematical structures to improve the resilience of critical infrastructure such as sewer networks. With 3 publications between 2020 and 2026, Ramalingam's work has spanned a period of over 6 years.

Research areas

  • Mathematics
  • Computer science
  • Fuzzy logic
  • Graph
  • Artificial intelligence

Publications (23)

Sorted by most cited.

  1. Some topological indices in fuzzy graphs

    2020

    View DOI
    43 cites
  2. Traffic volume prediction using intuitionistic fuzzy Grey-Markov model

    2021

    View DOI
    16 cites
  3. Domination integrity and efficient fuzzy graphs

    2019

    View DOI
    16 cites
  4. Integrated risk assessment in sago preparation process using fuzzy petri net model

    2022

    View DOI
    10 cites
  5. Embedding of fuzzy graphs on topological surfaces

    2019

    View DOI
    9 cites
  6. Vulnerability of sewer network – graph theoretic approach

    2020

    View DOI
    8 cites
  7. Markov chain based on neutrosophic numbers in decision making

    2021

    View DOI
    6 cites
  8. Some Topological Indices in Fuzzy Graphs

    2019

    View DOI
    6 cites
  9. Fuzzy Outerplanar Graphs and Its Applications

    2024

    View DOI
    4 cites
  10. Density Functional Theory Study of the Molecular Interaction between Selective Phenolic Compounds and Glycerol-Based Deep Eutectic Solvents

    2022

    View DOI
    4 cites
  11. Edge integrity for signed fuzzy graphs

    2022

    View DOI
    4 cites
  12. Analysis of Covid-19 via Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps

    2021

    View DOI
    4 cites
  13. An Approach for Study of Traffic Congestion Problem Using Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps-the Case of Indian Traffic

    2019

    View DOI
    4 cites
  14. A fuzzy planar subgraph formation model for partitioning very large-scale integration networks

    2023

    View DOI
    3 cites
  15. Multivariate polynomial fit: Decay heat removal system and pectin degrading Fe <sub>3</sub> O <sub>4</sub> ‐SiO <sub>2</sub> nanobiocatalyst activity

    2021

    View DOI
    3 cites
  16. Vertex Triangle Free Detour Number of a Graph

    2016

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    3 cites
  17. A novel intuitionistic fuzzy Yager aggregation framework for decision making in green supply chains

    2026

    View DOI
    1 cites
  18. A comprehensive review of applications of fuzzy planar graphs

    2026

    View DOI
    0 cites
  19. Plithogenic way of decision making in traffic signal time setting

    2026

    View DOI
    0 cites
  20. Spanning Integrity for Signed Fuzzy Graphs

    2026

    View DOI
    0 cites
  21. Image contraction through fuzzy soft outerplanar graph structures

    2026

    View DOI
    0 cites
  22. Decision-Making Techniques to Partition the Vlsi Networks Using Fuzzy Planar Graphs

    2023

    View DOI
    0 cites
  23. Upper Vertex Triangle Free Detour Number of a Graph

    2017

    View DOI
    0 cites