Big Data and Cognitive Computing

13.0k citations
983 papers · · active since 1950

Impact in

Papers in

    • Topic Modeling 77
    • Sentiment Analysis and Opinion Mining 66
    • Advanced Text Analysis Techniques 43
    • Anomaly Detection Techniques and Applications 39
    • Natural Language Processing Techniques 37

Big Data and Cognitive Computing

813 papers receiving 12.4k citations

Peers

Big Data and Cognitive Computing
Comparison fields: 5 of 218
  • Health Informatics 696
  • Health Information Management 517
  • Artificial Intelligence 3.7k
  • Management Information Systems 948
  • Information Systems 2.3k
Replace International Journal of Interactive Multimedia and Artificial Intelligence with:
International Journal of Interactive Multimedia and Artificial Intelligence Spain
Informatics United States
Journal of Industrial Information Integration China
Archives of Computational Methods in Engineering India
Healthcare Informatics Research South Korea
Patterns United States
Big Data & Society United States
Cognitive Systems Research United States
Nature Machine Intelligence United States
Ethics and Information Technology United States
Big Data and Cognitive Computing relative to International Journal of Interactive Multimedia and Artificial Intelligence Spain International Journal of Interactive Multimedia and Artificial Intelligence's profile →
Citations per field
00.5×4.1×
International Journal of Interactive Multimedia and Artificial Intelligence · 1×
Citations per year

Countries where authors publish in Big Data and Cognitive Computing

Since Specialization
Citations

This map shows the geographic impact of research published in Big Data and Cognitive Computing. 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 Big Data and Cognitive Computing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Big Data and Cognitive Computing more than expected).

Fields of papers published in Big Data and Cognitive Computing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Big Data and Cognitive Computing. 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 Big Data and Cognitive Computing.

About Big Data and Cognitive Computing

The 983 papers published in Big Data and Cognitive Computing in the last decades have received a total of 13.0k indexed citations . Papers published in Big Data and Cognitive Computing usually cover Health Informatics (25 papers), Artificial Intelligence (409 papers), Information Systems (177 papers), Signal Processing (82 papers) and Computer Vision and Pattern Recognition (137 papers) specifically the topics of Topic Modeling (77 papers), Sentiment Analysis and Opinion Mining (66 papers), Blockchain Technology Applications and Security (49 papers), Advanced Text Analysis Techniques (43 papers), Anomaly Detection Techniques and Applications (39 papers), Natural Language Processing Techniques (37 papers), Big Data and Business Intelligence (37 papers) and IoT and Edge/Fog Computing (36 papers). The most active scholars publishing in Big Data and Cognitive Computing are Hossein Hassani, Viriya Taecharungroj, Emmanuel Sirimal Silva, Hany F. Atlam, Gary Wills, Xu Huang, Robert John Walters, Angkoon Phinyomark, Ηλίας Δρίτσας and Μαρία Τρίγκα.

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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