The 513 papers published in Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery in the last decades have received a total of 25.7k indexed citations.
Papers published in Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery usually cover Artificial Intelligence (299 papers), Information Systems (145 papers) and Signal Processing (83 papers) specifically the topics of Data Mining Algorithms and Applications (78 papers), Data Management and Algorithms (50 papers) and Machine Learning and Data Classification (43 papers). The most active scholars publishing in Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery are Wei‐Yin Loh, Lior Rokach, Sebastián Ventura, Fionn Murtagh, Pedro Contreras, Cristóbal Romero, Lei Zhang, Bing Liu, Shuai Wang and Inke R. König.
In The Last Decade
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
471 papers
receiving
24.3k citations
Peers
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
Comparison fields: 5 of 239
Artificial Intelligence10.4k
Information Systems4.2k
Computer Vision and Pattern Recognition2.7k
Signal Processing2.0k
Computer Networks and Communications2.0k
Replace The Knowledge Engineering Review with:
The Knowledge Engineering ReviewUnited Kingdom
Computer Science ReviewIndia
Information RetrievalUnited States
IEEE Computational Intelligence MagazineChina
ACM Transactions on Internet TechnologyUnited States
AI CommunicationsSpain
Journal of ClassificationUnited States
Wiley Interdisciplinary Reviews Computational StatisticsUnited States
Egyptian Informatics JournalEgypt
Journal of Web SemanticsGermany
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Citations per field, relative to Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · 1×
×1.717.3kAI
×1.77.2kIS
×1.13.0kCVPR
×0.81.6kSP
×2.75.2kCNC
Citations per year, relative to Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · 1×
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Countries where authors publish in Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
Since
Specialization
Citations
This map shows the geographic impact of research published in Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 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 Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery more than expected).
Fields of papers published in Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
This network shows the impact of papers published in Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 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 Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery.
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.