Advanced Search Syntax with Expert search
SeekOut Expert is a unique capability of some SeekOut subscriptions which give you access to nearly tens of millions of engineering, computer science, and life sciences experts.
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SeekOut Expert is a unique capability of some SeekOut subscriptions which give you access to nearly tens of millions of engineering, computer science, and life sciences experts. This people-centric search engine allows you to find candidates based on their research papers, conference presentations, and patents.
The UI of SeekOut Expert allows you to find candidates in a number of ways, including searching by Topic, Conference, Affiliation, and more. Sometimes, however, you may want to use Boolean to construct a very specific query. When you do, you can use the field-based search strings below to narrow your search.
You use the field-based syntax with keywords, quoted phrases, or Boolean strings. Here are some examples:
journals: ("scientific reports" OR BioRxiv)
Finds candidates whose work has been published to the journals Scientific Reports or BioRxiv.
conferences:(CLEO OR OFC)
Returns candidates who submitted their work to the CLEO or OFC conferences.
cur_title:(data OR (scientist OR engineer))
Finds candidates who currently have the terms data, data scientist, or data engineer in their job title.
patents:whitelisting
Finds candidates who have patents containing the term whitelisting in the patent name or description.
Field Name Operators
Here's the list of supported field-based search terms:
city:
state:
country:
headline:
industry:
summary:
cur_company:
cur_title:
past_companies:
past_titles:
patents:
publications:
education:
grad_year:
schools:
majors:
degrees:
diversity:
skills:
affiliation: (note: this searches last affiliation only)
affiliations: (this searches all affiliations)
categories:
sub_categories:
tags:
conferences:
conf_instances:
publishers:
early_career: (note: this takes values true or false)
student: (note: this takes values true or false)
li_url:
location:
full_name:
journals:
doc_types:
pub_years: