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researcher

R. Jacob

8 papers hereh-index 6177 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author1

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • nlin.CD3
  • physics.data-an3
  • physics.soc-ph1
  • q-bio.NC1
same name
  • R. Jacob — 11 papers, h 22
  • R. Jacob — 9 papers, h 9
  • R. Jacob — 8 papers, h 9
  • R. Jacob — 6 papers, h 11
  • R. Jacob — 3 papers, h 34
  • R. Jacob — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152024
most citedMeasure for degree heterogeneity in complex networks and its application to recurrence network analysis

73 citations · 145 across the 8 of their papers we have counts for

collaborators
Showing 2017Show all

3 papers · 1 filter

nlin.CD2017

Degree weighted recurrence networks for the analysis of time series data

Rinku Jacob, K. P. Harikrishnan, R. Misra +1

Recurrence networks are powerful tools used effectively in the nonlinear analysis of time series data. The analysis in this context is done mostly with unweighted and undirected co…

q-bio.NC2017★ 1 cited

Determining the minimum embedding dimension for state space reconstruction through recurrence networks

K. P. Harikrishnan, Rinku Jacob, R. Misra +1

The analysis of observed time series from nonlinear systems is usually done by making a time-delay reconstruction to unfold the dynamics on a multi-dimensional state space. An impo…

physics.data-an2017★ 15 cited

Recurrence network measures for hypothesis testing using surrogate data: application to black hole light curves

Rinku Jacob, K. P. Harikrishnan, R. Misra +1

Recurrence networks and the associated statistical measures have become important tools in the analysis of time series data. In this work, we test how effective the recurrence netw…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.