Rinku Jacob

Employment

• Rajagiri School of Engineering and Technology (RSET) Assistant Professor
  2017 - Present
• Cochin College Research Scholar (Project Fellow in DST project)
  2013 - 2016

Education

• Cochin College PhD
  2014 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Layer-Wise Persistent Entropy of CT Scan Point Clouds for Lung Tumor Classification
  AppliedMath 2026 0 citations DOI: 10.3390/appliedmath6060095
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• Topological Methods for Flight Trajectory Analysis and Planned Path Optimization
  New Mathematics and Natural Computation 2026 0 citations DOI: 10.1142/S1793005728500457
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• Physiologically interpretable ECG classification using recurrence network topology and amplitude-preserving normalization
  AIP Advances 2025 0 citations DOI: 10.1063/5.0293481
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• Weighted recurrence networks for the analysis of time-series data
  Proceedings of The Royal Society A Mathematical Physical and Engineering Sciences 2019
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• Weighted recurrence networks for the analysis of time-series data
  Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 2019 13 citations DOI: 10.1098/rspa.2018.0256
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• Recurrence network measures for hypothesis testing using surrogate data: Application to black hole light curves
  Communications in Nonlinear Science and Numerical Simulation 2018 15 citations DOI: 10.1016/j.cnsns.2017.05.018
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• Cross over of recurrence networks to random graphs and random geometric graphs
  Pramana - Journal of Physics 2017 6 citations DOI: 10.1007/s12043-016-1339-y
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• Measure for degree heterogeneity in complex networks and its application to recurrence network analysis
  Royal Society Open Science 2017 73 citations DOI: 10.1098/rsos.160757
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• Can recurrence networks show small-world property?
  Physics Letters A 2016 11 citations DOI: 10.1016/j.physleta.2016.06.038
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• Characterization of chaotic attractors under noise: A recurrence network perspective
  Communications in Nonlinear Science and Numerical Simulation 2016 24 citations DOI: 10.1016/j.cnsns.2016.04.028
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