Google Scholar PSE – How it Works?

Google Scholar indexes the academic profiles, publications, and citations of millions of researchers worldwide. Each Scholar profile is public, structured, and consistently formatted — making it an excellent sourcing surface for R&D, scientific, and academic talent.

How is this PSE/CSE built?

This CSE combines two layers:

• An X-Ray of Google Scholar — site:scholar.google.com — to restrict results to the Scholar domain
• A “person” restriction based on schema.org structured data, to surface researcher profiles specifically rather than article pages

With Google PSE/CSE, we can query structured data directly from Google’s index — enabling much more precise targeting than standard search.

Which advanced operators can we use?

Profile operators

Role:

more:p:person-role:"title"

more:p:person-role:professor

Queries the researcher’s current title or role as declared on their Scholar profile.

Organization:

more:p:person-org:"organization"

more:p:person-org:mit

Queries the institution the researcher is affiliated with.

Snippet / Research interests:

more:p:Itemlist-itemlistelement:"keyword"

more:p:Itemlist-itemlistelement:machine*learning

Queries the researcher’s declared research interests — the tags visible on their Scholar profile page.

Note on spaces: The more:p: operators do not support spaces. Use:

• * for AND (equivalent to a space in standard Google search)
• | for OR

Example: more:p:Itemlist-itemlistelement:machine*learning finds researchers with both “machine” and “learning” in their interests.

Access the PSE

→ Open Google Scholar PSE

Also available on freesourcingtools.com