Scholar Search User Guide

See also: About Scholarly Search

In addition to the basic filtering and sorting options, this search interface also allows the use of Lucene query syntax in the search box. You can restrict term queries on multiple metadata fields using colon statements like journal:Science, set filters like lang:de, and apply range queries like year:>1989 year:<2000.

Example Queries

Search for digitized pages about a topic from specific years:

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Search for papers in Chinese matching a term:

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Conference papers with an author name query:

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Details

A partial list of metadata fields is:

• title
• author
• journal
• year
• issue
• volume
• doi
• type (eg, "article-journal", "dataset", "book")
• stage (eg, "published", "submitted", "accepted", "draft")
• lang (value is a 2-character lower-case ISO lanuage code)
• country (value is a 2-character lower-case ISO country code)
• access_type (eg, "wayback", "ia_file", "ia_sim")
• tag

You can restrict to records where the field exists with an asterisk like doi:*, and negate any term like !type:article-journal.

In-depth documentation of the query syntax is available from the open source project. The complete current search document schema can be fetched (in JSON format) from the search index itself.

Known Issues

This project is currently a prototype, with only a limited amount of content indexed.

Some known bugs and issues:

• web.archive.org PDF links sometimes return "not found" errors. This is impacting up to 1% of recent papers. In almost all cases there is a preserved copy of the file that should be available.
• Poor metadata quality for conference proceedings. Many are labeled "unpublished" and are not associated with the conference.
• Duplicate versions of same work. Eg, different versions of the same paper or dataset. We are working on basic entity-deduplication in the fatcat catalog.
• Mis-matching of file content or version with work metadata. For example, sometimes pre-prints or author manuscripts are incorrectly associated with version-of-record metadata, or vica-versa.