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This web app aims to help scientists with their literature review using metadata from OpenAlex (OA), Semantic Scholar (S2) and Crossref (CR) in local citation networks.

Home Page: https://LocalCitationNetwork.github.io

License: GNU General Public License v3.0

HTML 15.34% JavaScript 84.66%
citation-network papers review literature-review openalex semantic-scholar crossref open-citations

localcitationnetwork.github.io's Introduction

Local-Citation-Network

This web app aims to help scientists with their literature review using metadata from OpenAlex (OA), Semantic Scholar (S2) and Crossref (CR). Academic papers cite one another, thus creating a citation network (= graph). Each node (= vertex) represents an article and each edge (= link / arrow) represents a reference / citation. Citation graphs are a topic of bibliometrics, for which other great software exists as well.

This web app visualizes subsets of the global citation network that I call 'local citation networks', defined by the references (and citations) of a given set of input articles. In addition, the locally most relevant references (and citations) missing in the set of input articles are suggested for further review.

Open source contributions

This project is open source (GPL-3). I don't have much more time to work on this project, so I'm actively looking for help and contributors! Bugfixes are always welcome but please contact me before any large pull-requests so we can coordinate.

FAQ

For more details check out the FAQs in the web app!

localcitationnetwork.github.io's People

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localcitationnetwork.github.io's Issues

Web Layout Broken

Hi! I have enjoyed your tool for quite a while. However, the web interface does not seem to look correct today. This happens both on Firefox and Safari.

image

Adding Papers Without DOIs To Local Citation Network

Hello! Thank you for the awesome project -- I think it will change the way I do literature reviews.

I am interested in adding the ability to reference papers that do not have a DOI, which appears common for conferences in machine learning (e.g., ICLR and NeurIPS). I was wondering whether you have any recommendations about the best way to approach this.

Thank you in advance!

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