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SYSTEMATIC REVIEW article

Front. Appl. Math. Stat.
Sec. Statistics and Probability
doi: 10.3389/fams.2022.994287

Bibliometric Analysis of Spatio-Temporal Model Using a General Product-Sum Based on a Hydrological Distance

 Achmad Bachrudin1*, Budi N. Ruchjana1, Atje Setiawan A1 and Rahmat Budiarto2
  • 1Universitas Padjadjaran, Indonesia
  • 2Faculty of Applied Medical Sciences, Albaha University, Saudi Arabia
Provisionally accepted:
The final, formatted version of the article will be published soon.

In the last two decades, the number of model developments in the field of Geostatistics increased rapidly, especially in the Spatio-temporal models. Almost of these models are based on Euclidean distance, only a few which based on non-Euclidean distance. The purpose of this study is to analyze and visualize the types of literatures on stationary Spatio-temporal models that utilize General Product-sum and Hydrological distance through bibliometric analysis methods, by considering a set of bibliometric metrics, including productive and impact measures, methods analysis, and co-authorships analysis. Scientific research works related to Spatio-temporal models using the product-sum field that consider hydrological aspects, published between 2002 and 2022 are reviewed. Some of the most relevant research works in this field and some of the newest trends are collected during September 2022 from Google Scholar, Scopus and Dimensions databases. The literature search method is carried out in two steps. Firstly, literature sources were obtained from Google Scholar, Scopus and Dimensions. Secondly, meta-analysis is performed using Harzing's Publish or Perish and VOSviewer software program. Total of 488 articles related to Spatio-temporal product-sum, and 8 articles related to Spatio-temporal product-sum based on hydrologic distance are selected. The analysis result shows that the proposed topic “Spatio-temporal model using product-sum based on hydrologic distance” has a different significant attribute from the existing research works, i.e.: the hydrologic distance. Therefore, the proposed topic can be considered has a novelty.

Keywords: bibliometrics analysis, Spatio-temporal model, general product-sum, Hydrologic distance, Spatio-temporal covariance function, Spatio-temporal semivariogram

Received:14 Jul 2022; Accepted: 30 Nov 2022.

Copyright: © 2022 Bachrudin, Ruchjana, Setiawan A and Budiarto. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Mr. Achmad Bachrudin, Universitas Padjadjaran, Bandung, Indonesia