Information Processing & Management

167.7k citations
5.1k papers · · active since 1950

Impact in

    • Information Retrieval and Search Behavior
    • Web Data Mining and Analysis
    • Topic Modeling
    • Advanced Text Analysis Techniques
    • Natural Language Processing Techniques
    • Semantic Web and Ontologies
    • Text and Document Classification Technologies
    • Sentiment Analysis and Opinion Mining

Papers in

    • Information Retrieval and Search Behavior 641
    • Web Data Mining and Analysis 334
    • Recommender Systems and Techniques 295
    • Topic Modeling 952
    • Advanced Text Analysis Techniques 565
    • Natural Language Processing Techniques 533
    • Semantic Web and Ontologies 400
    • Text and Document Classification Technologies 306

Information Processing & Management

4.3k papers receiving 147.0k citations

Peers

Information Processing & Management
Comparison fields: 5 of 245
  • Information Systems 59.3k
  • Artificial Intelligence 76.8k
  • Library and Information Sciences 2.5k
  • Information Systems and Management 10.0k
  • Communication 9.6k
Replace Australasian Journal of Paramedicine with:
Australasian Journal of Paramedicine Australia
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Psychological Review United States
Psychological Bulletin United States
Journal of Information Science United Kingdom
Frontiers in Psychology China
Journal of Personality and Social Psychology United States
International Journal of Human-Computer Studies United States
International Journal of Information Management United Kingdom
American Psychologist United States
Information Processing & Management relative to Australasian Journal of Paramedicine Australia Australasian Journal of Paramedicine's profile →
Citations per field
00.5×4.8×
Australasian Journal of Paramedicine · 1×
Citations per year

Countries where authors publish in Information Processing & Management

Since Specialization
Citations

This map shows the geographic impact of research published in Information Processing & Management. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Information Processing & Management with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Information Processing & Management more than expected).

Fields of papers published in Information Processing & Management

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Information Processing & Management. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Information Processing & Management.

About Information Processing & Management

The 5.1k papers published in Information Processing & Management in the last decades have received a total of 167.7k indexed citations . Papers published in Information Processing & Management usually cover Information Systems (1.8k papers), Artificial Intelligence (2.5k papers), Library and Information Sciences (93 papers), Signal Processing (386 papers) and Communication (227 papers) specifically the topics of Topic Modeling (952 papers), Information Retrieval and Search Behavior (641 papers), Advanced Text Analysis Techniques (565 papers), Natural Language Processing Techniques (533 papers), Semantic Web and Ontologies (400 papers), Web Data Mining and Analysis (334 papers), Text and Document Classification Technologies (306 papers) and Recommender Systems and Techniques (295 papers). The most active scholars publishing in Information Processing & Management are Martín Dillon, Gerard Salton, Chris Buckley, Guy Lapalme, Marina Sokolova, Amanda Spink, Bernard J. Jansen, Abraham Bookstein, Akiko Aizawa and Ellen M. Voorhees.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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