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20222026
most citedA Comprehensive Analysis of Acknowledgement Texts in Web of Science: a case study on four scientific domains

23 citations · 38 across the 11 of their papers we have counts for

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cs.DL2025

Open Political Corpora: Structuring, Searching, and Analyzing Political Text Collections with PoliCorp

Nina Smirnova, Muhammad Ahsan Shahid, Philipp Mayr

In this work, we present PoliCorp (https://demo-pollux.gesis.org/), a web portal designed to facilitate the search and analysis of political text corpora. PoliCorp provides researc…

cs.DL2024

Automatically detecting scientific political science texts from a large general document index

Nina Smirnova

This technical report outlines the filtering approach applied to the collection of the Bielefeld Academic Search Engine (BASE) data to extract articles from the political science d…

cs.DL2024

The rise of Indo-German collaborative research: 1990-2022

Aasif Ahmad Mir, Nina Smirnova, Jeyshankar Ramalingam +1

The study aims to highlight the growth and development of Indo-German collaborative research over the past three decades. Moreover, this study encompasses an in-depth examination o…

cs.DL2023★ 10 cited

The Emergence of Preprints: Comparing Publishing Behaviour in the Global South and the Global North

Kristin Biesenbender, Nina Smirnova, Philipp Mayr +1

Purpose: The recent proliferation of preprints could be a way for researchers worldwide to increase the availability and visibility of their research findings. Against the backgrou…

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.DL2022★ 23 cited

A Comprehensive Analysis of Acknowledgement Texts in Web of Science: a case study on four scientific domains

Nina Smirnova, Philipp Mayr

Analysis of acknowledgments is particularly interesting as acknowledgments may give information not only about funding, but they are also able to reveal hidden contributions to aut…