ISSN: 1046-8188

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ACM Transactions on Information Systems Q1 Unclaimed

Association for Computing Machinery (ACM) United States

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ACM Transactions on Information Systems is a journal indexed in SJR in Business, Management and Accounting (miscellaneous) and Information Systems with an H index of 95. It has an SJR impact factor of 2,262 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 2,262.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy:

Type of publications:

Publication frecuency: -

Categories: Business, Management and Accounting (miscellaneous) (Q1) Computer Science Applications (Q1) Information Systems (Q1)

Price

- €

Inmediate OA

NPD

Embargoed OA

- €

Non OA

Metrics

2,262

SJR Impact factor

95

H Index

162

Total Docs (Last Year)

193

Total Docs (3 years)

11502

Total Refs

1582

Total Cites (3 years)

192

Citable Docs (3 years)

7.07

Cites/Doc (2 years)

71.0

Ref/Doc

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Aims and Scope

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Multimedia document presentation, information extraction, and document formation in MINOS: a model and a system

Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search

Online supervised spam filter evaluation

MEGA---the maximizing expected generalization algorithm for learning complex query concepts

Cost-Aware Collaborative Filtering for Travel Tour Recommendations

Human factors challenges in creating a principal support office system - the speech filing system approach

Comparing Pointwise and Listwise Objective Functions for Random-Forest-Based Learning-to-Rank

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Diagnostic Evaluation of Information Retrieval Models

A Meta-Framework for Modeling the Human Reading Process in Sentiment Analysis

Extraction, characterization and utility of prototypical communication groups in the blogosphere

Oracle in Image Search

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Probabilistic Models for Contextual Agreement in Preferences

Coverage, relevance, and ranking

A Multi-Label Classification Method Using a Hierarchical and Transparent Representation for Paper-Reviewer Recommendation

Customizing information capture and access

Utilizing inter-passage and inter-document similarities for reranking search results

Incremental cluster-based retrieval using compressed cluster-skipping inverted files

Incremental clustering for dynamic information processing