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Philipp Mayr

GESIS - Leibniz-Institute for the Social Sciences

87 papers hereh-index 222.1k citations218 works total

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

author position
  • sole author4
  • first author19
  • middle author26
  • last author37

Across the 86 of 87 papers where every author was matched, so the position is known.

fields
  • cs.DL48
  • cs.IR30
  • cs.CL4
  • cs.SI3
  • cs.CY1
  • cs.HC1
affiliations
  • GESIS - Leibniz-Institute for the Social Sciences
Homepage
same name
  • Philipp Mayr — 11 papers, h 13
  • Philipp Mayr — 10 papers, h 3
  • Philipp Mayr — 6 papers, h 1
  • Philipp Mayr — 3 papers, h 3
  • Philipp Mayr — 2 papers
  • Philipp Mayr — 2 papers, 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
20062023
most citedScientometrics and Information Retrieval - weak-links revitalized

195 citations · 880 across the 83 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

cs.CL2023

UnScientify: Detecting Scientific Uncertainty in Scholarly Full Text

Panggih Kusuma Ningrum, Philipp Mayr, Iana Atanassova

This demo paper presents UnScientify, an interactive system designed to detect scientific uncertainty in scholarly full text. The system utilizes a weakly supervised technique that…

cs.DL2023

Embedding Models for Supervised Automatic Extraction and Classification of Named Entities in Scientific Acknowledgements

Nina Smirnova, Philipp Mayr

Acknowledgments in scientific papers may give an insight into aspects of the scientific community, such as reward systems, collaboration patterns, and hidden research trends. The a…

cs.IR2023★ 2 cited

Retrievability in an Integrated Retrieval System: An Extended Study

Dwaipayan Roy, Zeljko Carevic, Philipp Mayr

Retrievability measures the influence a retrieval system has on the access to information in a given collection of items. This measure can help in making an evaluation of the searc…

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