Systems and methods for identifying documents based on citation history

A non-transitory computer-readable memory comprising computer-executable instructions for execution by a computer machine to identify a document within a corpus of documents generated as a result of a bibliometric process for the purposes of determining whether the document is a most frequently cited document for a reason for citation, the computer-executable instructions, 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 corpus located in a computerized database, wherein each document centric concept profile comprises:
• a plurality of key concepts identified by:
• establishing a reason for citation associated with each citing instance that has cited the document associated with that document centric concept profile, wherein each reason for citation is based on a text area within each respective citing instance;
• and
• comparing each reason for citation to a normalized key concept list to identify at least one key concept;
• and
• a reference value for each key concept wherein the reference value is calculated by tabulating a number of times the document associated with that document centric concept profile has been cited by citing instances for each key concept;
• surface a set of documents, wherein each document of the set of documents is associated with a document centric concept profiles having a key concept that matches the at least one concept of the query;
• and
• rank the set of documents by their respective reference value associated with the key concept that matches the at least one concept of the query, wherein the highest-ranked document of the set of documents represents the most frequently cited document for the reason for citation.

A system to identify a document within a corpus of documents generated as a result of a bibliometric process for the purposes of determining whether the document is a most frequently cited document for a reason for citation, 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, wherein each document centric concept profile is associated with a document in the corpus, and wherein each document centric concept profile comprises:
• a plurality of key concepts identified by:
• establishing a reason for citation associated with each citing instance that has cited the document associated with that document centric concept profile, wherein each reason for citation is based on a text area within each respective citing instance;
• and
• comparing each reason for citation to a normalized key concept list to identify at least one key concept;
• and
• a reference value for each key concept, wherein the reference value is calculated by tabulating a number of times the document associated with that document centric concept profile has been cited by citing instances for each key concept;
• and
• surface a particular document from the corpus, the particular document having a highest reference value for the key concept corresponding to the normalized query, wherein the particular document is the most frequently cited document for the reason for citation.