Mapping economic research in last five years using bibliometric method: A research from Indonesia and Malaysia Article Swipe
Dadang Sudrajat
,
Fajar Cahyo Utomo
,
Nina Nurani
,
Pandu Adi Cakranegara
,
Darwin Damanik
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1063/5.0192145
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1063/5.0192145
Studying how the economies of different nations have grown over time is a fascinating subject. Each nation retains its own distinctive economic identity, although the others are neighbors and allies. Indonesia's economy heavily depends on international trade, and the nation contributes significantly to the world's goods sold to other nations. During this period, Malaysia has successfully diversified its economy and made great strides in various sectors, including education, healthcare, and infrastructure. This study is intended to map the economic research of the two nations over five years. We conducted a bibliometric study to map the economic research area in Indonesia and Malaysia between 2018 and 2022 in the Web of Science Core Collection, the world's leading citation database. The result shows that the economic research discrepancies between Indonesia and Malaysia have been significant over the past five years. Bibliometric studies show that the productivity of Indonesian authors is significantly lower than that of Malaysian authors. Publications in Indonesia surpass Malaysia every year, particularly in quality journals on the Web of Science. Indonesian authors often cover the primary distinction in economic research topics in each country, while Malaysia is more technical in origin. In the last five years, impact research by Malaysian authors has contributed more to science, especially economics.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1063/5.0192145
- https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0192145/19849336/060046_1_5.0192145.pdf
- OA Status
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- 47
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All OpenAlex metadata
Raw OpenAlex JSON
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Mapping economic research in last five years using bibliometric method: A research from Indonesia and MalaysiaWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-01-01Full publication date if available
- Authors
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Dadang Sudrajat, Fajar Cahyo Utomo, Nina Nurani, Pandu Adi Cakranegara, Darwin DamanikList of authors in order
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https://doi.org/10.1063/5.0192145Publisher landing page
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https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0192145/19849336/060046_1_5.0192145.pdfDirect link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0192145/19849336/060046_1_5.0192145.pdfDirect OA link when available
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Computer science, Regional science, Data science, GeographyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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| abstract_inverted_index.Malaysian | 153, 200 |
| abstract_inverted_index.conducted | 88 |
| abstract_inverted_index.database. | 117 |
| abstract_inverted_index.different | 5 |
| abstract_inverted_index.economies | 3 |
| abstract_inverted_index.identity, | 22 |
| abstract_inverted_index.including | 66 |
| abstract_inverted_index.neighbors | 27 |
| abstract_inverted_index.technical | 189 |
| abstract_inverted_index.Indonesian | 145, 171 |
| abstract_inverted_index.economics. | 208 |
| abstract_inverted_index.education, | 67 |
| abstract_inverted_index.especially | 207 |
| abstract_inverted_index.Collection, | 112 |
| abstract_inverted_index.Indonesia's | 30 |
| abstract_inverted_index.contributed | 203 |
| abstract_inverted_index.contributes | 40 |
| abstract_inverted_index.distinction | 177 |
| abstract_inverted_index.distinctive | 20 |
| abstract_inverted_index.diversified | 56 |
| abstract_inverted_index.fascinating | 13 |
| abstract_inverted_index.healthcare, | 68 |
| abstract_inverted_index.significant | 132 |
| abstract_inverted_index.Bibliometric | 138 |
| abstract_inverted_index.Publications | 155 |
| abstract_inverted_index.bibliometric | 90 |
| abstract_inverted_index.particularly | 162 |
| abstract_inverted_index.productivity | 143 |
| abstract_inverted_index.successfully | 55 |
| abstract_inverted_index.discrepancies | 125 |
| abstract_inverted_index.international | 35 |
| abstract_inverted_index.significantly | 41, 148 |
| abstract_inverted_index.infrastructure. | 70 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.05370359 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |