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Open access Jurnal SINTA 3

THE BIBLIOMETRIC NETWORK TO IDENTIFY RESEARCH TRENDS IN MULTI-INPUT TRANSFER FUNCTION

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 18 No. 3 (2024) · pp. 1931–1938

DOI
10.30598/barekengvol18iss3pp1931-1938
ISSN
2615-3017, 1978-7227
Published
2024-07-31
Publisher
PATTIMURA UNIVERSITY
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Bibliometrics has become one of the most widely used approaches to examining academic publications. Bibliometric analysis helps researchers obtain references from other researchers, strengthening recent research. In a bibliometric analysis, VOSviewer made the analysis process easier. VOSviewer is used to build and visualize bibliometric networks. This study aims to present and visualize an overview of the development of multi-input transfer function research trends and collaboration networks. The research method used is a literature review from Scopus using VOSviewer in 2007-2023. This study shows a growing trend in multi-input transfer function research, with China leading in publications. The development map of the multi-input transfer function is based on nine co-words and ten co-author clusters. The study's results are dominated by applying the model to real data. However, the estimation of multi-input transfer function parameters has yet to be carried out using a numerical approach.

Collaboration network of the authors

26 authors · 58 co-authorship links

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Binus University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sutanto SutantoAffiliation unknown6
Krisna SidiqAffiliation unknown3
Antoni WibowoBinus University2
Nughthoh Arfawi KurdhiAffiliation unknown2
Siti Roqhilu YumarohAffiliation unknown2
Ghufron Musta'inAffiliation unknown2
Fahri Aimar KusumoAffiliation unknown2
Nicolas Ray Amarco TambunanAffiliation unknown2
Husnun Nur Ghiffari Putri RiyansyahAffiliation unknown1
Bowo WinarnoAffiliation unknown1
Arifah Mufidah LestariAffiliation unknown1
Ria Puan AdhitamaAffiliation unknown1
Heri PrasetyoAffiliation unknown1
Fadiah KhairinaAffiliation unknown1
Gusti Ngurah Adhi WibowoAffiliation unknown1
Andjani Ayu Cahaya TanjungAffiliation unknown1
Muhammad Nazhif Abda Putera KhanoAffiliation unknown1
Alexander Yonathan ChristyAffiliation unknown1
Aslina BaharumAffiliation unknown1
Anas IvanniAffiliation unknown1
Harun Al RasyidAffiliation unknown1
Andre Fajry Al BarraAffiliation unknown1
Ghaitsa Shafa Cinta KanantaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">THE BIBLIOMETRIC NETWORK TO IDENTIFY RESEARCH TRENDS IN MULTI-INPUT TRANSFER FUNCTION</dc:title>
	<dc:creator>Indriati, Sela Putri</dc:creator>
	<dc:creator>Saputro, Dewi Retno`Sari</dc:creator>
	<dc:creator>Widyaningsih, Purnami</dc:creator>
	<dc:description xml:lang="en-US">Bibliometrics has become one of the most widely used approaches to examining academic publications. Bibliometric analysis helps researchers obtain references from other researchers, strengthening recent research. In a bibliometric analysis, VOSviewer made the analysis process easier. VOSviewer is used to build and visualize bibliometric networks. This study aims to present and visualize an overview of the development of multi-input transfer function research trends and collaboration networks. The research method used is a literature review from Scopus using VOSviewer in 2007-2023. This study shows a growing trend in multi-input transfer function research, with China leading in publications. The development map of the multi-input transfer function is based on nine co-words and ten co-author clusters. The study's results are dominated by applying the model to real data. However, the estimation of multi-input transfer function parameters has yet to be carried out using a numerical approach.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2024-07-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12587</dc:identifier>
	<dc:identifier>10.30598/barekengvol18iss3pp1931-1938</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application; 1931-1938</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol18iss3year2024</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/12587/8543</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Sela Putri Indriati, Dewi Retno`Sari Saputro, Purnami Widyaningsih</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>