activity
20162020
most citedIdentifying and Improving Dataset References in Social Sciences Full Texts

4 citations · 10 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DL2020

The OpenCitations Data Model

Marilena Daquino, Silvio Peroni, David Shotton +6

A variety of schemas and ontologies are currently used for the machine-readable description of bibliographic entities and citations. This diversity, and the reuse of the same ontol…

cs.DL2019★ 3 cited

EXmatcher: Combining Features Based on Reference Strings and Segments to Enhance Citation Matching

Behnam Ghavimi, Wolfgang Otto, Philipp Mayr

Citation matching is a challenging task due to different problems such as the variety of citation styles, mistakes in reference strings and the quality of identified reference segm…

cs.DL2019★ 3 cited

Highly cited references in PLOS ONE and their in-text usage over time

Wolfgang Otto, Behnam Ghavimi, Philipp Mayr +2

In this article, we describe highly cited publications in a PLOS ONE full-text corpus. For these publications, we analyse the citation contexts concerning their position in the tex…

cs.DL2016

A Semi-Automatic Approach for Detecting Dataset References in Social Science Texts

Behnam Ghavimi, Philipp Mayr, Christoph Lange +2

Today, full-texts of scientific articles are often stored in different locations than the used datasets. Dataset registries aim at a closer integration by making datasets citable b…

cs.DL2016★ 4 cited

Identifying and Improving Dataset References in Social Sciences Full Texts

Behnam Ghavimi, Philipp Mayr, Sahar Vahdati +1

Scientific full text papers are usually stored in separate places than their underlying research datasets. Authors typically make references to datasets by mentioning them for exam…