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researcher

P. Rosen

17 papers hereh-index 181.4k citations100 works total

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

author position
  • first author2
  • middle author4
  • last author11

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.HC7
  • cs.CG4
  • cs.GR3
  • cs.CV1
  • physics.ao-ph1
  • stat.ML1
same name
  • P. Rosen — 4 papers, h 5
  • P. Rosen — 1 paper, h 46
  • P. Rosen — 1 paper, h 6

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
20122023
most citedData management and analysis with WRF and SFIRE

5 citations · 10 across the 7 of their papers we have counts for

collaborators
Showing cs.CGShow all

4 papers · 1 filter

cs.CG2020

Fast and Scalable Complex Network Descriptor Using PageRank and Persistent Homology

Mustafa Hajij, Elizabeth Munch, Paul Rosen

The PageRank of a graph is a scalar function defined on the node set of the graph which encodes nodes centrality information of the graph. In this article, we use the PageRank func…

cs.CG2019

Propagate and Pair: A Single-Pass Approach to Critical Point Pairing in Reeb Graphs

Junyi Tu, Mustafa Hajij, Paul Rosen

With the popularization of Topological Data Analysis, the Reeb graph has found new applications as a summarization technique in the analysis and visualization of large and complex…

cs.CG2018

An Efficient Data Retrieval Parallel Reeb Graph Algorithm

Mustafa Hajij, Paul Rosen

The Reeb graph of a scalar function defined on a domain gives a topologically meaningful summary of that domain. Reeb graphs have been shown in the past decade to be of great impor…

cs.CG2018

Homology-Preserving Dimensionality Reduction via Manifold Landmarking and Tearing

Lin Yan, Yaodong Zhao, Paul Rosen +2

Dimensionality reduction is an integral part of data visualization. It is a process that obtains a structure preserving low-dimensional representation of the high-dimensional data.…

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