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🎙️✨ Welcome to Revise and Resubmit — the podcast where breakthrough academic ideas meet the real world, one journal article at a time!
Today, we’re diving into the world of citations, clusters, co-authorships, and… code. 🧠💻 But don’t worry — we’re not here to give you a stats headache. We’re here to unravel the story of a tool that turned the tangled web of science mapping into a seamless, streamlined symphony.
Imagine you're a researcher drowning in a sea of articles, trying to make sense of who said what, when, and where it all connects. 🌊📚 Now imagine a single open-source tool that takes your raw data and turns it into beautiful maps, insightful clusters, and powerful patterns — all from within R. Welcome to the universe of bibliometrix! 🧭📊
In this episode, we crack open the 2017 gem “bibliometrix: An R-tool for comprehensive science mapping analysis” published in Journal of Informetrics — a SCOPUS (Q1)-ranked, prestigious journal from the house of Elsevier. 🏅
Authors Massimo Aria and Corrado Cuccurullo didn’t just write a paper — they built a toolkit. A toolkit that empowers you to design, analyze, visualize, and interpret your research landscape like never before. Whether you're mapping a field, tracing citations, or digging into thematic evolution, bibliometrix has your back — and your dataset. 🔍📈
So here's the million-citation question:
👉 What happens when open-source programming meets the complex world of bibliometrics — and makes it look easy?
Stick around to find out. And hey — big thanks to the authors Massimo Aria and Corrado Cuccurullo, and to Elsevier for publishing this impactful work in the Journal of Informetrics. 🧡📖
💥 Don’t forget to subscribe to Revise and Resubmit on Spotify and our YouTube channel Weekend Researcher. We’re also live on Amazon Prime and Apple Podcast! Wherever you listen — we’ve got you covered! 🎧🧪💡
📌 Because here… every paper deserves a second look — and maybe, a resubmission.
Reference
Aria, M., & Cuccurullo, C. (2017). bibliometrix : An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
R package of biblioshiny available at https://www.bibliometrix.org/home/index.php/layout/biblioshiny
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