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W. Szpankowski

17 papers hereh-index 477.9k citations389 works total

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

author position
  • middle author3
  • last author14

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

fields
  • cs.IT6
  • math.PR6
  • cs.DS2
  • cs.SI1
  • q-bio.GN1
  • stat.ML1
same name
  • W. Szpankowski — 1 paper, h 1

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
20052020
most citedAsymmetry and structural information in preferential attachment graphs

7 citations · 20 across the 14 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

math.PR2016★ 7 cited

Asymmetry and structural information in preferential attachment graphs

Tomasz Luczak, Abram Magner, Wojciech Szpankowski

Graph symmetries intervene in diverse applications, from enumeration, to graph structure compression, to the discovery of graph dynamics (e.g., node arrival order inference). Where…

cs.DS2016★ 1 cited

Average Size of a Suffix Tree for Markov Sources

Philippe Jacquet, Wojciech Szpankowski

We study a suffix tree built from a sequence generated by a Markovian source. Such sources are more realistic probabilistic models for text generation, data compression, molecular…

math.PR2016★ 2 cited

Asymmetric Rényi Problem and PATRICIA Tries

Michael Drmota, Abram Magner, Wojciech Szpankowski

In 1960, Rényi asked for the number of random queries necessary to recover a hidden bijective labeling of n distinct objects. In each query one selects a random subset of labels an…

cs.IT2016★ 4 cited

Fundamental Bounds and Approaches to Sequence Reconstruction from Nanopore Sequencers

Jarek Duda, Wojciech Szpankowski, Ananth Grama

Nanopore sequencers are emerging as promising new platforms for high-throughput sequencing. As with other technologies, sequencer errors pose a major challenge for their effective…

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