International Journal of Data Warehousing and Mining

5.2k citations
341 papers · · active since 2005

Impact in

Papers in

International Journal of Data Warehousing and Mining

314 papers receiving 5k citations

Peers

International Journal of Data Warehousing and Mining
Comparison fields: 5 of 162
  • Management Information Systems 710
  • Artificial Intelligence 2k
  • Information Systems 1k
  • Computer Networks and Communications 850
  • Signal Processing 267
Replace ACM Transactions on Management Information Systems with:
ACM Transactions on Management Information Systems United States
Big Data Research China
Big Data United States
International Journal of Information Management Data Insights India
Applied Computing and Informatics India
International Journal on Semantic Web and Information Systems China
International Journal on Digital Libraries United States
Journal of Data and Information Quality United States
International Journal of Web and Grid Services China
Computer Law & Security Report United Kingdom
International Journal of Data Warehousing and Mining relative to ACM Transactions on Management Information Systems United States ACM Transactions on Management Information Systems's profile →
Citations per field
00.5×1.5×1.8×
ACM Transactions on Management Information Systems · 1×
Citations per year

Countries where authors publish in International Journal of Data Warehousing and Mining

Since Specialization
Citations

This map shows the geographic impact of research published in International Journal of Data Warehousing and 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 Data Warehousing and 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 Data Warehousing and Mining more than expected).

Fields of papers published in International Journal of Data Warehousing and Mining

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

About International Journal of Data Warehousing and Mining

The 341 papers published in International Journal of Data Warehousing and Mining in the last decades have received a total of 5.2k indexed citations . Papers published in International Journal of Data Warehousing and Mining usually cover Management Information Systems (54 papers), Signal Processing (33 papers), Information Systems (97 papers), Computer Networks and Communications (67 papers) and Artificial Intelligence (100 papers) specifically the topics of Advanced Database Systems and Queries (63 papers), Data Mining Algorithms and Applications (55 papers), Big Data and Business Intelligence (52 papers), Data Management and Algorithms (26 papers), Advanced Clustering Algorithms Research (24 papers), Data Mining and Machine Learning Applications (17 papers), Sentiment Analysis and Opinion Mining (12 papers) and Customer churn and segmentation (11 papers). The most active scholars publishing in International Journal of Data Warehousing and Mining are Ioannis Katakis, Grigorios Tsoumakas, Panos Vassiliadis, Matteo Golfarelli, Stefano Rizzi, David Taniar, Alberto Abelló, Oscar Romero, Shuliang Wang and Robert Wrembel.

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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