A bibliometric analysis of artificial intelligence applications in geospatial and geographic intelligence

Muryani, Chatarina; Prihadi, Singgih; Tjahjono, Gentur Adi; Nugroho, Albertus Erico Jerry Krisna; Kartika, Fitria Dewi

doi:10.11591/ijai.v15.i4.pp3036-3052

Akses terbuka Jurnal SINTA 1

A bibliometric analysis of artificial intelligence applications in geospatial and geographic intelligence

IAES International Journal of Artificial Intelligence · Vol. 15 No. 4 (2026) · hlm. 3036–3052

DOI: 10.11591/ijai.v15.i4.pp3036-3052
ISSN: 2252-8938, 2089-4872
Terbit: 2026-08-01
Penerbit: Institute of Advanced Engineering and Science
Bahasa: eng
Lisensi: creativecommons.org/licenses/by-sa/4.0

Abstrak

This study presents a comprehensive bibliometric analysis of the application of artificial intelligence in geospatial research and geographic intelligence. Using the Scopus database and visualization tools such as VOSviewer and Microsoft Excel, this study systematically maps the scientific literature across the five analytical dimensions: publication trends, citation structure, co-citation patterns, bibliographic merging, and keyword co-occurrence. The findings indicate a significant increase in global research interest, especially after 2020, with major contributions from the United States, China, and the United Kingdom. The results also reveal thematic clusters ranging from remote sensing and disaster response to smart city planning and spatial prediction. Through science mapping and performance analysis, the study highlights the intellectual structure and conceptual evolution of the field. The study contributes to academic understanding by identifying research gaps, emerging themes, and collaboration patterns, which can guide future interdisciplinary research in the artificial intelligence and geospatial domain.

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Sebelas Maret University
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Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel

Tampilkan sebagai tabel

Rekan penulis	Organisasi	Artikel bersama
Sugiyanto Sugiyanto	Sebelas Maret University	3
Rita Noviani	Sebelas Maret University	2
Sugiyanto	Afiliasi tidak diketahui	2
Sarwono	Afiliasi tidak diketahui	2
Ahmad	Afiliasi tidak diketahui	2
Pipit Wijayanti	Sebelas Maret University	1
Sorja Koesuma	Sebelas Maret University	1
Binana Naz Srulin	Sebelas Maret University	1
Diana Lukitasari	Sebelas Maret University	1
Triana Rejekiningsih	Sebelas Maret University	1

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://ijai.iaescore.com/index.php/IJAI/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.

Metadata asli (oai_dc)

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	<dc:title xml:lang="en-US">A bibliometric analysis of artificial intelligence applications in geospatial and geographic intelligence</dc:title>
	<dc:creator>Muryani, Chatarina</dc:creator>
	<dc:creator>Prihadi, Singgih</dc:creator>
	<dc:creator>Tjahjono, Gentur Adi</dc:creator>
	<dc:creator>Nugroho, Albertus Erico Jerry Krisna</dc:creator>
	<dc:creator>Kartika, Fitria Dewi</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:subject xml:lang="en-US">Artificial intelligence; Bibliometric analysis; Geographic intelligence; Geospatial; VOSviewer</dc:subject>
	<dc:description xml:lang="en-US">This study presents a comprehensive bibliometric analysis of the application of artificial intelligence in geospatial research and geographic intelligence. Using the Scopus database and visualization tools such as VOSviewer and Microsoft Excel, this study systematically maps the scientific literature across the five analytical dimensions: publication trends, citation structure, co-citation patterns, bibliographic merging, and keyword co-occurrence. The findings indicate a significant increase in global research interest, especially after 2020, with major contributions from the United States, China, and the United Kingdom. The results also reveal thematic clusters ranging from remote sensing and disaster response to smart city planning and spatial prediction. Through science mapping and performance analysis, the study highlights the intellectual structure and conceptual evolution of the field. The study contributes to academic understanding by identifying research gaps, emerging themes, and collaboration patterns, which can guide future interdisciplinary research in the artificial intelligence and geospatial domain.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US">Universitas Sebelas Maret Non-State Budget Fund 2025 Nomo 897/UN27/HK.02/2025</dc:contributor>
	<dc:date>2026-08-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijai.iaescore.com/index.php/IJAI/article/view/28936</dc:identifier>
	<dc:identifier>10.11591/ijai.v15.i4.pp3036-3052</dc:identifier>
	<dc:source xml:lang="en-US">IAES International Journal of Artificial Intelligence (IJ-AI); Vol 15, No 4: August 2026; 3036-3052</dc:source>
	<dc:source>2252-8938</dc:source>
	<dc:source>2089-4872</dc:source>
	<dc:source>10.11591/ijai.v15.i4</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijai.iaescore.com/index.php/IJAI/article/view/28936/15272</dc:relation>
	<dc:relation>https://ijai.iaescore.com/index.php/IJAI/article/downloadSuppFile/28936/4416</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 Chatarina Muryani, Singgih Prihadi, Gentur Adi Tjahjono, Albertus Erico Jerry Krisna Nugroho, Fitria Dewi Kartika</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>