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Martin Gerlach

21 papers hereh-index 181.6k citations35 works total

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

author position
  • first author7
  • middle author11
  • last author3

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CY7
  • physics.soc-ph7
  • cs.CL2
  • cs.SI2
  • cs.DL1
  • physics.data-an1
same name
  • Martin Gerlach — 1 paper, h 2
  • Martin Gerlach — 1 paper, 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
20122023
most citedA network approach to topic models

260 citations · 976 across the 18 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CY2021★ 14 cited

A Large-Scale Characterization of How Readers Browse Wikipedia

Tiziano Piccardi, Martin Gerlach, Akhil Arora +1

Despite the importance and pervasiveness of Wikipedia as one of the largest platforms for open knowledge, surprisingly little is known about how people navigate its content when se…

cs.SI2021★ 20 cited

Multilayer Networks for Text Analysis with Multiple Data Types

Charles C. Hyland, Yuanming Tao, Lamiae Azizi +3

We are interested in the widespread problem of clustering documents and finding topics in large collections of written documents in the presence of metadata and hyperlinks. To tack…

cs.CY2021

A Multilingual Entity Linking System for Wikipedia with a Machine-in-the-Loop Approach

Martin Gerlach, Marshall Miller, Rita Ho +2

Hyperlinks constitute the backbone of the Web; they enable user navigation, information discovery, content ranking, and many other crucial services on the Internet. In particular,…

cs.CY2021

Language-agnostic Topic Classification for Wikipedia

Isaac Johnson, Martin Gerlach, Diego Sáez-Trumper

A major challenge for many analyses of Wikipedia dynamics -- e.g., imbalances in content quality, geographic differences in what content is popular, what types of articles attract…

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