International Journal of Data Mining Modelling and Management

1.0k citations
302 papers · · active since 1950

Impact in

    • Imbalanced Data Classification Techniques
    • Advanced Text Analysis Techniques
    • Sentiment Analysis and Opinion Mining
    • Text and Document Classification Technologies
    • Topic Modeling
    • Data Mining Algorithms and Applications

Papers in

    • Advanced Clustering Algorithms Research 25
    • Text and Document Classification Technologies 22
    • Advanced Text Analysis Techniques 17
    • Data Mining Algorithms and Applications 53

International Journal of Data Mining Modelling and Management

251 papers receiving 938 citations

Peers

International Journal of Data Mining Modelling and Management
Comparison fields: 5 of 128
  • Artificial Intelligence 598
  • Information Systems 296
  • Signal Processing 130
  • Health Informatics 11
  • Management Science and Operations Research 106
Replace Data Technologies and Applications with:
Data Technologies and Applications China
Journal of Electronic Science and Technology China
Journal of Information and Communication Technology Malaysia
Journal of Computing Science and Engineering United States
International Journal of Ambient Computing and Intelligence India
International Journal of Data Analysis Techniques and Strategies India
Journal of Information and Telecommunication Vietnam
Open Computer Science India
International Journal of Semantic Computing United States
Interdisciplinary Journal of Information Knowledge and Management United States
International Journal of Data Mining Modelling and Management relative to Data Technologies and Applications China Data Technologies and Applications's profile →
Citations per field
00.5×10×14×
Data Technologies and Applications · 1×
Citations per year

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).

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.

About International Journal of Data Mining Modelling and Management

The 302 papers published in International Journal of Data Mining Modelling and Management in the last decades have received a total of 1.0k indexed citations . Papers published in International Journal of Data Mining Modelling and Management usually cover Artificial Intelligence (160 papers), Information Systems (101 papers), Signal Processing (39 papers), Management Science and Operations Research (23 papers) and Statistical and Nonlinear Physics (21 papers) specifically the topics of Data Mining Algorithms and Applications (53 papers), Advanced Clustering Algorithms Research (25 papers), Data Management and Algorithms (25 papers), Rough Sets and Fuzzy Logic (22 papers), Text and Document Classification Technologies (22 papers), Complex Network Analysis Techniques (20 papers), Face and Expression Recognition (18 papers) and Advanced Text Analysis Techniques (17 papers). The most active scholars publishing in International Journal of Data Mining Modelling and Management are Rehab Duwairi, Eyke Hüllermeier, Abdullah Alsaeedi, Vadlamani Ravi, Haosheng Huang, Georg Gärtner, K. S. Reddy, Donato Malerba, Maher Maalouf and Mohamed Batouche.

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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