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researcher

S. Majhi

32 papers hereh-index 7112 citations32 works total

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

author position
  • sole author5
  • first author7
  • middle author18
  • last author2

Across the 32 of 32 papers where every author was matched, so the position is known.

fields
  • cs.CG7
  • cs.LG7
  • math.AT7
  • math.MG3
  • q-fin.ST3
  • math.DS2
same name
  • S. Majhi — 31 papers, h 26
  • S. Majhi — 29 papers, h 9
  • S. Majhi — 23 papers, h 23
  • S. Majhi — 11 papers, h 9
  • S. Majhi — 7 papers, h 28
  • S. Majhi — 7 papers

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
20182026
most citedA sentiment-based modeling and analysis of stock price during the COVID-19: U- and Swoosh-shaped recovery

15 citations · 34 across the 26 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

math.MG2023

Hausdorff vs Gromov-Hausdorff distances

Henry Adams, Florian Frick, Sushovan Majhi +1

Let M be a closed Riemannian manifold and let X⊆M. If the sample X is sufficiently dense relative to the curvature of M, then the Gromov-Hausdorff distance between…

cs.CG2023★ 1 cited

Metric and Path-Connectedness Properties of the Frechet Distance for Paths and Graphs

Erin Chambers, Brittany Fasy, Benjamin Holmgren +2

The Frechet distance is often used to measure distances between paths, with applications in areas ranging from map matching to GPS trajectory analysis to handwriting recognition. M…

cs.CG2023

Graph Mover's Distance: An Efficiently Computable Distance Measure for Geometric Graphs

Sushovan Majhi

Many applications in pattern recognition represent patterns as a geometric graph. The geometric graph distance (GGD) has recently been studied as a meaningful measure of similarity…

math.AT2023

Demystifying Latschev's Theorem: Manifold Reconstruction from Noisy Data

Sushovan Majhi

For a closed Riemannian manifold M and a metric space S with a small Gromov$\unicode{x2013}$Hausdorff distance to it, Latschev's theorem guarantees the existence of a…

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