Default: Information Processing and Management

ISSN: 0306-4573

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Information Processing and Management Q1 Unclaimed

Elsevier Ltd United Kingdom
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Information Processing and Management is a journal indexed in SJR in Information Systems and Computer Science Applications with an H index of 123. It has an SJR impact factor of 2,134 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 2,134.

Information Processing and Management focuses its scope in these topics and keywords: document, information, query, measure, library, learning, journal, inverted, interface, intelligent, ...

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy:

Type of publications:

Publication frecuency: -

Metrics

Information Processing and Management

2,134

SJR Impact factor

123

H Index

355

Total Docs (Last Year)

775

Total Docs (3 years)

22539

Total Refs

8560

Total Cites (3 years)

765

Citable Docs (3 years)

10.84

Cites/Doc (2 years)

63.49

Ref/Doc

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Aims and Scope


document, information, query, measure, library, learning, journal, inverted, interface, intelligent, morphological, networks, partial, person, plausible, processing, ranking, research, retrieval, inference, hotels, fuzzy, citedciting, communityterm, comparative, conceptual, cooccurrence, database, digital, documents, filesretrieving, expansion, experimental, experimentscoauthorship, features, framework,



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Determinants of computer user expectations and their relationships with user satisfaction: An empirical study

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A theoretical study of recall and precision using a topological approach to information retrieval

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Multimedia document management: An anthropocentric approach

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Patterns in the mind: language and human nature

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Information retrieval: A health care perspective

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Electronic publishing and libraries: Planning for the impact and growth to 2003

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On the role of logic in information retrieval

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What is the tree that we see through the window: A linguistic approach to windowing and term variation

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Modelling multi-relational data with special attention to the average number of collaborators as a variable in informetric distributions

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Text classification using ESC-based stochastic decision lists

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Managing information for the competitive edge

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Constructing and navigating personalised views of the Web

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