Most Cited Articles in the Field of Data Mining: A Bibliometric Study

Varsha Singh; Avinash Kumar Singh

Varsha Singh INFLIBNET India
Avinash Kumar Singh Babasaheb Bhimrao Ambedkar University (A Central University) Lucknow 226025, U.P. (INDIA) India

Abstract

Background: The simplest technique to discover the most recent and challenging study material across all subject areas is through bibliometrics. Aim: Researchers use bibliometrics to investigate usersâ€™ requirements across all fields. The results assist researchers in making sense of the numerous critical issues. The researcher employed a bibliometrics methodology in the current investigation. Methodology: The current study made use of the Scopus Index core collection. Only those papers that were published in the area of data mining were focused on this research. Between 1995 and 2021, 34,011 works were discovered that were published in too many different languages (27 years). However, the researcher set a boundary and only chose those publications that were written in the English language and received the highest citations. Findings: The investigation results revealed that the 2008 publication of â€œTop 10 methods in data miningâ€ in the journal â€œKnowledge and Information Systemsâ€ received 3400 citations. The results of this study also showed that articles with several writers received the most citations. The top countries for data mining productivity are also mentioned in the study. The studyâ€™s findings also look at the most popular journals and keywords utilised in the published articles. The current studyâ€™s findings are very helpful for researchers who plan to conduct research in the field of data mining.

References

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