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Frequently, the documents needed by a user are available only via multiple search engines. For example, research papers about a particular subject may be found from the search engines of related digital libraries and journals. It is inconvenient for the user to search these search engines separately. An effective way to address this problem is to employ a metasearch engine, which is a system that provides unified access to multiple existing search systems. When a metasearch engine receives a user query, it passes the query to its underlying search engines. The results returned by the search engines, are then combined by the metasearch engine to form a single ranked list for presentation to the user [2].
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |