Systems and Methods for Identifying Documents Based on Citation History

A method to identify a document, the method comprising automatically:

• receiving a query from a graphical user interface comprising one or more concepts;
• normalizing a set of terms or concepts in the query to create a normalized query;
• comparing the normalized query to a set of document centric concept profiles associated with a set of documents in a corpus, wherein each document centric concept profile comprises:
• a plurality of concepts;
• and
• at least one reference value for each concept of the plurality of concepts, wherein the at least one reference value is calculated by tabulating the number of times a document associated with one of the set of document centric concept profiles is cited by a citing instance for the concept;
• and
• surfacing a document from the corpus with the highest reference value for the concept.

A computer-readable memory comprising computer-executable instructions for execution by a computer machine to identify a document that, when executed, cause the computer machine to:

• receive a query including at least one concept;
• compare the at least one concept of the query to each document centric profile of a set of document centric concept profiles contained in a computerized database, wherein each document centric concept profile comprises a plurality of normalized concepts and, for each normalized concept, at least one reference value;
• surface a set of documents associated with one or more document centric concept profiles having a normalized concept that matches the at least one concept of the query;
• and
• rank the set of documents by their associated reference value scores.

A system to identify a document, the system comprising:

• a processing device;
• and
• a non-transitory, processor-readable storage medium, the non-transitory processor-readable storage medium comprising one or more programming instructions that, when executed, cause the processing device to:
• receive a query from a graphical user interface comprising one or more concepts;
• normalize a set of terms or concepts in the query to create a normalized query;
• compare the normalized query to a set of document centric concept profiles associated with a set of documents in a corpus, wherein each document centric concept profile comprises:
• a plurality of concepts;
• and
• at least one reference value for each concept of the plurality of concepts, wherein the at least one reference value is calculated by tabulating the number of times a document associated with one of the set of document centric concept profiles is cited by a citing instance for the concept;
• and
• surface a document from the corpus with the highest reference value for the concept.