Compare: A Framework for Scientific Comparisons

Navigating the vast and rapidly increasing sea of academic publications to identify institutional synergies, benchmark research contributions and pinpoint key research contributions has become an increasingly daunting task, especially with the current exponential increase in new publications. Existing tools provide useful overviews or single-document insights, but none supports structured, qualitative comparisons across institutions or publications. To address this, we demonstrate Compare, a novel framework that tackles this challenge by enabling sophisticated long-context comparisons of scientific contributions. Compare empowers users to explore and analyze research overlaps and differences at both the institutional and publication granularity, all driven by user-defined questions and automatic retrieval over online resources. For this we leverage on Retrieval-Augmented Generation over evolving data sources to foster long context knowledge synthesis. Unlike traditional scientometric tools, Compare goes beyond quantitative indicators by providing qualitative, citation-supported comparisons.

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Published
2025-11-07
DOI
https://doi.org/10.1145/3746252.3761493
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Compare: A Framework for Scientific Comparisons

Wojciech Kusa, Allan Hanbury, David Pride, Petr Knoth et al.
Computational and Text Analysis Methods
article

Compare: A Framework for Scientific Comparisons

Wojciech Kusa, Allan Hanbury, David Pride, Petr Knoth, Moritz Staudinger, Matteo Cancellieri
article en

Abstract

Navigating the vast and rapidly increasing sea of academic publications to identify institutional synergies, benchmark research contributions and pinpoint key research contributions has become an increasingly daunting task, especially with the current exponential increase in new publications. Existing tools provide useful overviews or single-document insights, but none supports structured, qualitative comparisons across institutions or publications. To address this, we demonstrate Compare, a novel framework that tackles this challenge by enabling sophisticated long-context comparisons of scientific contributions. Compare empowers users to explore and analyze research overlaps and differences at both the institutional and publication granularity, all driven by user-defined questions and automatic retrieval over online resources. For this we leverage on Retrieval-Augmented Generation over evolving data sources to foster long context knowledge synthesis. Unlike traditional scientometric tools, Compare goes beyond quantitative indicators by providing qualitative, citation-supported comparisons.

TU Wien (AT), The Open University (GB), NASK National Research Institute (PL)
Technische Universität Wien, Technische Universität Wien Bibliothek
Openalex Percentile: Top 56%
Computational and Text Analysis Methods
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Compare: A Framework for Scientific Comparisons — Wojciech Kusa, Allan Hanbury, et al. · (2025) | TGRS Research Map | TGRS