This project presents an interactive, browser-based dashboard that queries the open OpenAlex scholarly database to collect, analyze, and synthesize academic literature in real time. Using Boolean search operators and metadata filters (author, affiliation, venue, country, work type, and citation threshold), it performs bibliometric profiling, TF-IDF and n-gram text mining, abbreviation extraction, and Latent Dirichlet Allocation (LDA) topic modeling, ranking the most aligned papers for instant export as a clean .bib database.
Interactive Dashboard
Enter a search query or apply advanced metadata filters to fetch relevant works with abstracts and citation counts directly from the OpenAlex API. Across five interactive views, you can inspect top journals, leading authors, yearly publication trends, annual citation outliers (via the 1.5×IQR rule), TF-IDF terms, bigrams, extracted abbreviations, word correlations, customizable LDA topic clusters, and an alignment-ranked literature table with one-click .bib download:
Open the interactive dashboard in a new tab ↗
Open the interactive dashboard in a new tab ↗
Code & Resources
The dashboard runs entirely client-side in your browser with zero setup required. You can also download saved OpenAlex_Keyword_N_Mon_Year.bib files directly from the fifth tab for use in reference managers or downstream bibliometric tools:
- GitHub Repository: Scholar_Open-Alex_Analytics ↗
Note: For the best experience, use a desktop or tablet browser to interact with the dashboard.