scholarly journals PEMETAAN BIBLIOMETRIK TERHADAP TREND RISET MATEMATIKA TERAPAN DI GOOGLE SCOLAR MENGGUNAKAN VOSVIEWER

2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Arifin Karim ◽  
Joko Soebagyo

Penelitian bibliometerik ini fokus pada mapping riset matematika terapan berbasis data google scholar. Penelitian ini dilakukan untuk mengetahui perkembangan penelitian matematika terapan. Pengumpulan data dilakukan berdasarkan database google scholar dengan kata kunci applied mathematic, kategori publikasi adalah jurnal, dan sampel sebanyak 500 jurnal. Pengambilan data dilakukan menggunakan software Publish or Perish  (PoP). Analisis data dilakukan secara deskriptif berdasarkan tahun publikasi, nama penerbit, produktifitas peneliti, dan trend riset matematika terapan. PoP digunakan untuk mendapatkan data perkembangan riset secara akurat. Analisis data dilakukan menggunakan Excel dan VOSViewer. Hasil penelitian menggambarkan bahwa trend publikasi matematika terapan dari tahun 2005-2021 mengalami penurunan secara linier dimana jumlah publikasi meningkat sebanyak 68 artikel di tahun 2007 yang diterbitkan oleh Elsevier. Peneliti yang paling produktif adalah Dr. S. Arulselvi dengan publikasi sebanyak 6 artikel. Visualisasi VOSViewer juga menunjukkan bahwa riset matematika terapan yang masih jarang diteliti adalah yang berkaitan dengan adomian decomposition, numerical solution, dan homotopy perturbation method.Kata kunci: Bibliometrik, google scholar, matematika terapan, publish or perish, vosviewer

2010 ◽  
Vol 15 (4) ◽  
pp. 491-504 ◽  
Author(s):  
Abdul M. Siddiqui ◽  
Tahira Haroon ◽  
Saira Bhatti ◽  
Ali R. Ansari

The objective of this paper is to compare two methods employed for solving nonlinear problems, namely the Adomian Decomposition Method (ADM) and the Homotopy Perturbation Method (HPM). To this effect we solve the Navier‐Stokes equations for the unsteady flow between two circular plates approaching each other symmetrically. The comparison between HPM and ADM is bench‐marked against a numerical solution. The results show that the ADM is more reliable and efficient than HPM from a computational viewpoint. The ADM requires slightly more computational effort than the HPM, but it yields more accurate results than the HPM.


Author(s):  
Cristina Restrepo-Arango

Analizar la visibilidad de los investigadores del Sistema Nacional de Investigadores (SNI) en Web of Science (WoS), Scopus y Publish or Perish, mediante la búsqueda del índice h de 240 investigadores nacionales del área V de las ciencias sociales en México en Publish or Perish, Google Scholar Metrics, Web of Science y Scopus. Se encontró que los resultados muestran una gran polarización entre las 4 fuentes consultadas para obtener el índice h. La primera, Publish or Perish es la más incluyente en términos de citación, ya que se basa en las publicaciones que aparecen en el Google Académico y esto favorece enormemente los valores que obtuvieron los investigadores de las ciencias sociales mexicanas en el índice h. La segunda y tercera que son WoS y Scopus se caracterizan por una ausencia generalizada en la indización de revistas mexicanas de las ciencias sociales utilizadas por los investigadores para diseminar sus publicaciones. La cuarta, Google Scholar Metrics es una herramienta abierta y gratuita que al parecer no es usada por los investigadores de las ciencias sociales mexicanas.


2011 ◽  
Vol 37 (6) ◽  
pp. 577-593 ◽  
Author(s):  
Clare V. Thornley ◽  
Shane J. McLoughlin ◽  
Andrea C. Johnson ◽  
Alan F. Smeaton

This paper provides a discussion and analysis of methodological issues encountered during a scholarly impact and bibliometric study within the field of Computer Science (TRECVid Text Retrieval and Evaluation Conference, Video Retrieval Evaluation). The purpose of this paper is to provide a reflection and analysis of the methods used to provide useful information and guidance for those who may wish to undertake similar studies, and is of particular relevance for the academic disciplines which have publication and citation norms that may not perform well using traditional tools. Scopus and Google Scholar are discussed and a detailed comparison of the effects of different search methods and cleaning methods within and between these tools for subject and author analysis is provided. The additional database capabilities and usefulness of ‘Scopus More’ in addition to ‘Scopus General’ are discussed and evaluated. Scopus paper coverage is found to favourably compare with Google Scholar but Scholar consistently has superior performance at finding citations to those papers. These additional citations significantly increase the citation totals and also change the relative ranking of papers. Publish or Perish, a software wrapper for Google Scholar, is also examined and its limitations and some possible solutions are described. Data cleaning methods, including duplicate checks, expert domain checking of bibliographic data, and content checking of retrieved papers, are compared and their relative effects on paper and citation count discussed. Google Scholar and Scopus are also compared as tools for collecting bibliographic data for visualizations of developing trends and, owing to the comparative ease of collecting abstracts, Scopus is found far more effective.


Author(s):  
Hossein Jafari

In this paper, we apply two decomposition methods, the Adomian decomposition method (ADM) and a well-established iterative method, to solve time-fractional Klein–Gordon type equation. We compare these methods and discuss the convergence of them. The obtained results reveal that these methods are very accurate and effective.


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