International Journal of Business Intelligence and Data Mining

2.3k citations
532 papers · · active since 1950

Impact in

Papers in

International Journal of Business Intelligence and Data Mining

441 papers receiving 2.1k citations

Peers

International Journal of Business Intelligence and Data Mining
Comparison fields: 5 of 146
  • Information Systems 642
  • Transportation 187
  • Signal Processing 272
  • Artificial Intelligence 799
  • Management Science and Operations Research 219
Replace Frontiers in Big Data with:
Frontiers in Big Data United States
Applied Network Science United States
Malaysian Journal of Computer Science Malaysia
International Journal of Knowledge-based and Intelligent Engineering Systems India
Cybernetics and Information Technologies Bulgaria
Applied System Innovation Italy
International Journal of Data Science and Analytics India
Journal of Advances in Information Technology India
Annals of Data Science India
KI - Künstliche Intelligenz Germany
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
00.5×50×104×
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 532 papers published in International Journal of Business Intelligence and Data Mining in the last decades have received a total of 2.3k indexed citations . Papers published in International Journal of Business Intelligence and Data Mining usually cover Information Systems (184 papers), Signal Processing (69 papers), Artificial Intelligence (198 papers), Health Information Management (19 papers) and Management Information Systems (34 papers) specifically the topics of Data Mining Algorithms and Applications (82 papers), Data Management and Algorithms (46 papers), Rough Sets and Fuzzy Logic (38 papers), Text and Document Classification Technologies (31 papers), Advanced Clustering Algorithms Research (30 papers), Recommender Systems and Techniques (30 papers), Big Data and Business Intelligence (26 papers) and Imbalanced Data Classification Techniques (24 papers). The most active scholars publishing in International Journal of Business Intelligence and Data Mining are Chengqi Zhang, Pierluigi Morano, Francesco Tajani, Jiaqi Wang, Xindong Wu, Martin Shepperd, Qinbao Song, Sherry Y. Chen, David Taniar and Kate Smith‐Miles.

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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