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Particulate Matter Emission from Combustion and Non-Combustion Automotive Engine Process: Review and Computational Bibliometric Analysis on Its Source, Sizes, and Health and Lung Impact

Automotive Experiences · Vol. 6 No. 3 (2023) · hlm. 599–623

DOI
10.31603/ae.10259
ISSN
2615-6636, 2615-6202
Terbit
2023-11-27
Penerbit
Universitas Muhammadiyah Magelang
Bahasa
en

Abstrak

This study aimed to comprehensively analyze particulate matter (PM) emissions from vehicles, focusing on their sources based on combustion and non-combustion process, classification (PM10, PM2.5, PM0.1), and health implications (including PM transportation into lungs). Employing bibliometric analysis, we assessed the growth of scientific publications related to PM, identifying top-cited works based on citations, publisher, author, country, and affiliation. We also visually mapped the development of research in this field using keyword-based publication data from Scopus (2019-2023) with the keywords "particulate matter", "emission”, and "particle size" by utilizing Publish or Perish and VOSviewer software. Our findings underscore a significant uptrend in particulate matter research, shedding light on key areas of investigation. This study serves as a valuable resource for academics seeking research direction and a reference point for future investigations.

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  • Universiti Brunei Darussalam
  • Walailak University
  • Universitas Gadjah Mada
  • Indonesia University of Education
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Dwi Novia Al HusaeniAfiliasi tidak diketahui8
Dwi Fitria Al HusaeniAfiliasi tidak diketahui7
Meli FiandiniAfiliasi tidak diketahui6
Abdulkareem Sh. Mahdi Al-ObaidiAfiliasi tidak diketahui5
Muhammad Roil BiladUniversiti Brunei Darussalam5
Dori YuvendaAfiliasi tidak diketahui4
Siti Pupu FauziahAfiliasi tidak diketahui3
Martin RoestamyAfiliasi tidak diketahui3
Irman SuhermanAfiliasi tidak diketahui3
Thirunavukkarasu RajaAfiliasi tidak diketahui3
Indra Chandra SetiawanAfiliasi tidak diketahui3
Muhammad Latifur RochmanAfiliasi tidak diketahui3
Belkheir HammoutiAfiliasi tidak diketahui3
Budi WaluyoWalailak University2
Siti Nur HofifahAfiliasi tidak diketahui2
Aditya KolakotiAfiliasi tidak diketahui2
Randi Purnama PutraAfiliasi tidak diketahui2
Margana MarganaAfiliasi tidak diketahui2
Yusuf Dewantoro HerlambangAfiliasi tidak diketahui2
Wahyu SulistiyoAfiliasi tidak diketahui2
Nanang ApriandiAfiliasi tidak diketahui2
Marliyati MarliyatiAfiliasi tidak diketahui2
Jin Cherng ShyuAfiliasi tidak diketahui2
Hendry Y. NanlohyAfiliasi tidak diketahui2
Amirullah AbduhAfiliasi tidak diketahui2
Novi NurjanahAfiliasi tidak diketahui1
Qurratu Aini Alya AdzkiaAfiliasi tidak diketahui1
Riki RustanaAfiliasi tidak diketahui1
Selvi Citra CarollineAfiliasi tidak diketahui1
Shabrina Maulida AgustineAfiliasi tidak diketahui1
Abdul KholikUniversitas Gadjah Mada1
Muhammad Rendi RamdhaniAfiliasi tidak diketahui1
Tatang HermanIndonesia University of Education1
Elah NurlaelahAfiliasi tidak diketahui1
I Made SuarsanaAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://journal.unimma.ac.id/index.php/AutomotiveExperiences/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Particulate Matter Emission from Combustion and Non-Combustion Automotive Engine Process: Review and Computational Bibliometric Analysis on Its Source, Sizes, and Health and Lung Impact</dc:title>
	<dc:creator xml:lang="en">Nandiyanto, Asep Bayu Dani</dc:creator>
	<dc:creator xml:lang="en">Ragadhita, Risti</dc:creator>
	<dc:creator xml:lang="en">Setiyo, Muji</dc:creator>
	<dc:creator xml:lang="en">Obaidi, Abdulkareem Sh. Mahdi Al</dc:creator>
	<dc:creator xml:lang="en">Hidayat, Arif</dc:creator>
	<dc:subject xml:lang="en">Abrasive</dc:subject>
	<dc:subject xml:lang="en">Bibliometric</dc:subject>
	<dc:subject xml:lang="en">Combustion</dc:subject>
	<dc:subject xml:lang="en">Particulate Matter</dc:subject>
	<dc:subject xml:lang="en">Particle Size</dc:subject>
	<dc:subject xml:lang="en">Tire</dc:subject>
	<dc:subject xml:lang="en">Vehicle</dc:subject>
	<dc:subject xml:lang="en">VOSviewer</dc:subject>
	<dc:description xml:lang="en">This study aimed to comprehensively analyze particulate matter (PM) emissions from vehicles, focusing on their sources based on combustion and non-combustion process, classification (PM10, PM2.5, PM0.1), and health implications (including PM transportation into lungs). Employing bibliometric analysis, we assessed the growth of scientific publications related to PM, identifying top-cited works based on citations, publisher, author, country, and affiliation. We also visually mapped the development of research in this field using keyword-based publication data from Scopus (2019-2023) with the keywords "particulate matter", "emission”, and "particle size" by utilizing Publish or Perish and VOSviewer software. Our findings underscore a significant uptrend in particulate matter research, shedding light on key areas of investigation. This study serves as a valuable resource for academics seeking research direction and a reference point for future investigations.</dc:description>
	<dc:publisher xml:lang="en">Universitas Muhammadiyah Magelang</dc:publisher>
	<dc:date>2023-11-27</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://journal.unimma.ac.id/AutomotiveExperiences/article/view/10259</dc:identifier>
	<dc:identifier>10.31603/ae.10259</dc:identifier>
	<dc:source xml:lang="en">Automotive Experiences; Vol. 6 No. 3 (2023); 599-623</dc:source>
	<dc:source>2615-6636</dc:source>
	<dc:source>2615-6202</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unimma.ac.id/AutomotiveExperiences/article/view/10259/4718</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2023 Asep Bayu Dani Nandiyanto, Risti Ragadhita, Muji Setiyo, Abdulkareem Sh. Mahdi Al Obaidi, Arif Hidayat</dc:rights>
</oai_dc:dc>