3 items
Automatically Discover Quartile Information to Google Scholar page. You can search more data in detail manually. Effortlessly improve your Google Scholar experience with automatic journal quartile information! This extension seamlessly integrates quartile data into any Google Scholar page, allowing you to quickly view the ranking and impact of journals without the need for extra searches. For more comprehensive insights into academic journals, the extension also provides access to additional metrics. Ideal for researchers, academics, and students looking to make informed decisions about their publications and references. Some journals are classified under multiple categories, which may result in listings such as Q1Q2. These quartiles are ordered alphabetically based on their respective categories. V1.0.1: Bug fix for Google Scholar page. V1.0.2 – Add Visualizations 📊 Pie Chart Dashboard Added When visiting a Google Scholar profile, you’ll now see a floating pie chart summarizing publication types. The chart displays the number of journals by quartile (Q1–Q4), as well as the count of conference papers and unmatched (not found) journals. The dashboard floats on the page and updates dynamically as content loads or changes. V1.0.3 – Chart located after Cited-by section in Google Scholar profile page
Jun 22, 2025
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.