A Scientometric Study of Neurocomputing Publications (1992–2018): An Aerial Overview of Intrinsic Structure

Manvendra Janmaijaya · Amit K. Shukla · Ajith Abraham · Pranab Kumar Muhuri

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scientometrics and bibliometrics research Psychology Research and Bibliometrics Web visibility and informetrics

Abstract

The international journal of neurocomputing (NC) is considered to be one of the most sought out journals in the computer science research fraternity. In this paper, an extensive bibliometric overview of this journal is performed. The bibliometric data is extracted from the Web of Science (WoS) repository. The main objective of this study is to reveal internal structures and hidden inferences, such as highly productive and influential authors, most contributing countries, top institutions, collaborating authors, and so on. The CiteSpace and VOS viewer is used to visualize the graphical mapping of the bibliometric data. Further, the document co-citations network, cluster detection and references with strong citation burst is analyzed to reveal the intellectual base of NC publications.

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2005An index to quantify an individual's scientific research output 2005CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature 2003Time series forecasting using a hybrid ARIMA and neural network model 2003Financial time series forecasting using support vector machines 201525years at Knowledge-Based Systems: A bibliometric analysis 2018Fifty years of the European Journal of Marketing : a bibliometric analysis 2017Fuzzy decision making: A bibliometric-based review 2017Fifty years of Information Sciences: A bibliometric overview

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