International Journal of Business Intelligence and Data Mining

2.8k citations
560 papers · · active since 1950

Impact in

    • Data Mining Algorithms and Applications
    • Human Mobility and Location-Based Analysis
    • Transportation Planning and Optimization

Papers in

International Journal of Business Intelligence and Data Mining

471 papers receiving 2.6k citations

Peers

International Journal of Business Intelligence and Data Mining
Comparison fields: 5 of 150
  • Information Systems 777
  • Transportation 204
  • Signal Processing 332
  • Artificial Intelligence 958
  • Management Science and Operations Research 268
Replace Frontiers in Big Data with:
Frontiers in Big Data United States
Applied System Innovation China
Informatics United States
International Journal of Knowledge-based and Intelligent Engineering Systems India
Annals of Data Science India
Applied Network Science United States
Cybernetics and Information Technologies Bulgaria
International Journal of Data Science and Analytics India
Patterns United States
Policy & Internet United States
International Journal of Business Intelligence and Data Mining relative to Frontiers in Big Data United States Frontiers in Big Data's profile →
Citations per field
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Frontiers in Big Data · 1×
Citations per year

Countries where authors publish in International Journal of Business Intelligence and Data Mining

Since Specialization
Citations

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

Fields of papers published in International Journal of Business Intelligence and Data Mining

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in International Journal of Business Intelligence and Data Mining. 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 International Journal of Business Intelligence and Data Mining.

About International Journal of Business Intelligence and Data Mining

The 560 papers published in International Journal of Business Intelligence and Data Mining in the last decades have received a total of 2.8k indexed citations . Papers published in International Journal of Business Intelligence and Data Mining usually cover Information Systems (199 papers), Signal Processing (72 papers), Artificial Intelligence (213 papers), Health Information Management (19 papers) and Management Science and Operations Research (47 papers) specifically the topics of Data Mining Algorithms and Applications (86 papers), Data Management and Algorithms (46 papers), Rough Sets and Fuzzy Logic (38 papers), Advanced Clustering Algorithms Research (32 papers), Text and Document Classification Technologies (31 papers), Recommender Systems and Techniques (30 papers), Imbalanced Data Classification Techniques (26 papers) and Big Data and Business Intelligence (26 papers). The most active scholars publishing in International Journal of Business Intelligence and Data Mining are Francesco Tajani, Pierluigi Morano, Chengqi Zhang, Jiaqi Wang, Xindong Wu, Antonio Nestıcò, Qinbao Song, Martin Shepperd, Kate Smith‐Miles and David Taniar.

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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