Data Mining and Knowledge Discovery

1.1k papers and 69.4k indexed citations

About

The 1.1k papers published in Data Mining and Knowledge Discovery in the last decades have received a total of 69.4k indexed citations. Papers published in Data Mining and Knowledge Discovery usually cover Artificial Intelligence (728 papers), Signal Processing (342 papers) and Information Systems (310 papers) specifically the topics of Data Mining Algorithms and Applications (220 papers), Time Series Analysis and Forecasting (176 papers) and Data Management and Algorithms (173 papers). The most active scholars publishing in Data Mining and Knowledge Discovery are Christopher J. C. Burges, Zhexue Huang, Eamonn Keogh, Jon Kleinberg, Jiawei Han, Jerome H. Friedman, Sreerama K. Murthy, Hannu Toivonen, Steven L. Salzberg and Heikki Mannila.

In The Last Decade

Data Mining and Knowledge Discovery

1.0k papers receiving 64.0k citations

Peers

Data Mining and Knowledge Discovery
Comparison fields: 5 of 233
  • Artificial Intelligence 35.1k
  • Signal Processing 17.6k
  • Information Systems 17.0k
  • Computer Vision and Pattern Recognition 11.3k
  • Computer Networks and Communications 8.0k
Replace Journal of Artificial Intelligence Research with:
Journal of Artificial Intelligence Research United States
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) United States
ACM Transactions on Information Systems China
ACM Transactions on Intelligent Systems and Technology China
IEEE Intelligent Systems United States
Data & Knowledge Engineering United States
IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans United States
IEEE Signal Processing Magazine United States
The VLDB Journal United States
Statistics and Computing United Kingdom
Journal of Artificial Intelligence Research United States View profile →
Citations per field, relative to Data Mining and Knowledge Discovery
Data Mining and Knowledge Discovery · 1×
Citations per year, relative to Data Mining and Knowledge Discovery
Data Mining and Knowledge Discovery · 1×

Countries where authors publish in Data Mining and Knowledge Discovery

Since Specialization
Citations

This map shows the geographic impact of research published in 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 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 Data Mining and Knowledge Discovery more than expected).

Fields of papers published in Data Mining and Knowledge Discovery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in 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 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.

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2026