International Journal of Data Mining Modelling and Management

285 papers and 790 indexed citations i.

About

The 285 papers published in International Journal of Data Mining Modelling and Management in the last decades have received a total of 790 indexed citations. Papers published in International Journal of Data Mining Modelling and Management usually cover Artificial Intelligence (154 papers), Information Systems (98 papers) and Signal Processing (38 papers) specifically the topics of Data Mining Algorithms and Applications (51 papers), Advanced Clustering Algorithms Research (25 papers) and Data Management and Algorithms (25 papers). The most active scholars publishing in International Journal of Data Mining Modelling and Management are Rehab Duwairi, Eyke Hüllermeier, Vadlamani Ravi, Georg Gärtner, Haosheng Huang, Abdullah Alsaeedi, Theodore B. Trafali̇s, Maher Maalouf, Donato Malerba and Mohamed Batouche.

In The Last Decade

Fields of papers published in International Journal of Data Mining Modelling and Management

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries where authors publish in International Journal of Data Mining Modelling and Management

Since Specialization
Citations

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

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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