Google Scholar — All Terms Over Time
Yearly result counts for each search term across all of Google Scholar
Comparative Bar Chart — Per Year
Side-by-side comparison of all terms
Google Scholar Result Counts
Click the link to open the exact Google Scholar search. Enter the "About X results" number shown at the top.
Journal-Specific Counts
For each term/journal/year combination, click the link to open Google Scholar filtered by source. Enter the result count.
Configuration
Customize search terms, journals, and year range. Changes rebuild the entire dashboard.
Controls where Google Scholar looks for your search terms. Changing this rebuilds all search links.
Import Data
Load a previously exported JSON file to restore your data.
Research Methodology
Step-by-step guide to collecting bibliometric data
1. Google Scholar — General counts:
Go to
Google Scholar Advanced Search. In the "with the exact phrase" field, type each term.
Set the date range to a single year (e.g., 2011–2011). Note the "About X results" number
at the top. Repeat for each year in your range.
2. Journal-specific counts:
Use the same approach but add source:"Journal Name" to your query.
Example: "your term" source:"Your Journal Name".
The links in this dashboard are pre-built for you.
3. Search scope options:
You can change the search scope in Settings to control where Google Scholar
looks for your terms:
— Anywhere in article (default): Searches title, abstract, full text, and keywords.
This gives the broadest count.
— Title only: Only counts articles with the term in the title. Uses Google Scholar's
as_occt=title parameter. Yields much smaller but more focused counts.
— Keywords (approx.): Uses allintitle: as an approximation.
Google Scholar has no dedicated keyword field — for precise keyword-only searches, use
Scopus, Web of Science, or ERIC instead.
— Tip: Collect data in one scope, export it, then switch scope and collect again
to compare across scopes.
4. Alternative tools for more rigorous results:
— Scopus or Web of Science: Allow precise filtering by
journal, year, and keyword. They also export as CSV.
— ERIC (eric.ed.gov):
Good for education-related journals.
— Publish or Perish (free software by Harzing): Queries Google Scholar
programmatically and exports structured data.
— Dimensions (dimensions.ai):
Free tier available.
5. Important caveats:
— Google Scholar counts are approximate and can fluctuate.
— The source: filter in Google Scholar is not perfectly reliable.
— For publication-quality data, Scopus or Web of Science are preferred.
— Record the date you collected data, as counts change over time.
— Partial-year data will naturally show lower numbers.
6. Interpreting your charts:
— Line charts show trends and turning points.
— Bar charts make year-to-year comparison easier.
— Stacked area charts show how journals contribute to the total.
— Use the CSV/JSON export for further analysis in R, Python, or Excel.
Pre-built Search Links
Quick-access links for full-range searches
About This Tool
This is a free, open-source bibliometric research tool. It runs entirely in
your browser — no data is sent to any server. Your data is saved in your browser's
localStorage so it persists between sessions.
Source code: GitHub Repository
Licensed under the MIT License. Contributions welcome.