CiteNScope — Scholarly Index & Analytics
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Explore the evidence.
Understand the reach.

Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 3/3 recordsLast OpenAlex observation 22 Oct 2026, 03:28 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS53/3 with known counts
OPENALEX CITATIONS193/3 with known counts
OPENALEX MEAN6.33Per article with a known count
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institution: Ministry of Finance Remove ×
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Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

Hover over a year or focus the chart and use arrow keys to inspect values.

2026 is year to date. 0 undated publications excluded.

View data & coverage

Citations received

OpenAlex · year of the citing work

OpenAlex

Hover over a year or focus the chart and use arrow keys to inspect values.

2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

View data & coverage

Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

Ministry of Finance33/3 records with data

Countries

Indonesia33/3 records with data

Primary topics

Cultural Industries and Urban Development1Economic and Fiscal Studies1Global Politics and Economy13/3 records with data
Two perspectives on citations

Follow the research impact

Independent sources. Clear time scales.

Lifetime citations by publication year

Crossref and OpenAlex · separate totals for the same publication cohorts

Hover over a year or focus the chart and use arrow keys to inspect values.

Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.

View data & coverage

Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

Hover over a year or focus the chart and use arrow keys to inspect values.

2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

View data & coverage
Annual history: 3/3 articles. Latest history observation: 2026-10-22T03:28:33.621116+00:00. Source totals are never added together.
Research side by side

Compare journals

Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.

Leave all unchecked to include every matching journal. Selection affects only comparison charts.
Display range
International Journal of Finance & Banking StudiesInternational Journal of Research in Business and Social Science

Publications

Articles by publication year

View data & coverage

Crossref citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex · Citations received

By year of the citing work · 2017–2026

View data & coverage

2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.

Full analytics report All distributions, publications, comparisons & data provenance
3 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS3
CROSSREF CITATIONS5
CROSSREF · CITED PUBLICATIONS66.7%
CROSSREF · MEAN CITATIONS1.67

Crossref citation coverage: 3 / 3 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.

OpenAlex / Separate citation source

A broader view of this research

DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.

OPENALEX CITATIONS19
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY6.333 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY5

Observation range: 22 Oct 2026 01:08 UTC — 22 Oct 2026 03:28 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–526–20121+0Unknown0

Institutions, countries & topics

OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.

Institutions

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Countries

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Primary topics

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Citation year / OpenAlex

Citations received over time

Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.

The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.

Annual history available for 3 / 3 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.

Annual-history observations (UTC): 2026-10-22T01:08:11.716392+00:00 — 2026-10-22T03:28:33.621116+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

52.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32019 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 3/32020 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 3/32021 · All selected publications · OpenAlex · Citations received by year: 5 · Annual history coverage 3/32022 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 3/32023 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 3/32024 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 3/32026 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/3 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications033/3
2018All selected publications033/3
2019All selected publications133/3
2020All selected publications233/3
2021All selected publications533/3
2022All selected publications233/3
2023All selected publications433/3
2024All selected publications433/3
2025All selected publications133/3
2026All selected publications033/3

Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗

Crossref citation distribution

Latest Crossref totals for the selected publications; not citations received in the selected years.

Mean1.67
Median2
No citations11–526–20021+0Unknown0

Unknown counts are excluded from the mean, median and cited-publication rate.

Journal comparison

Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.

Journal / publisherPublicationsCrossref citationsOpenAlex citationsOpenAlex coverageCrossref meanCrossref medianCrossref cited %*Crossref coverage
International Journal of Finance & Banking Studies
SSBFNET
1031/10.000.01/1 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
25162/22.52.5100.02/2 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

Prospects and Competitiveness in Creative Economy: Evidence from Indonesia

Sigit Setiawan

International Journal of Research in Business and Social Science · 2018

Read abstract

A growing number of unimaginable cross-border start-up businesses have emerged in the ASEAN and global trade map, along with the development of communication and information technology that negates national borders.  The new sector-referred to as creative economy - requires and utilizes high specific knowledge, skills and creativity. With literature review and descriptive analysis method, this study aims to: firstly, analyze the prospects for Indonesian creative economic sector in the ASEAN market; secondly, analyze the competitiveness of Indonesia's creative economic sector in ASEAN and the world levels. By making comparison of the data in two periods (2002-2006 and 2014-2015 periods), it can be concluded that the average contribution of creative economy to Indonesian economy continues to increase. The increase goes to the added value, the sectoral contribution to GDP, the provision of employment, and the sectoral absorption of national labor. The prospect of Indonesian creative economy in the ASEAN market lies in the growth of potential customers from the middle class. The number of Indonesian middle class will continue to increase. By adopting and analyzing the output of the Global Creativity Index model, it can be concluded that the competitiveness of Indonesian creative economy in ASEAN and the world is still weak. The weak competitiveness is due to low technology index and talent index. However, based on the findings from previous studies in several regions in Indonesia, it appears that Indonesian people have great potential creativity to develop

DOI 10.20525/ijrbs.v7i2.8883 Crossref citations11 OpenAlex citations
JOURNAL ARTICLE

E-commerce Taxation and Fiscal Policy Perspective: The Case of Indonesia

Sigit Setiawan

International Journal of Research in Business and Social Science · 2018

Read abstract

The Indonesian government is now seriously exploring in depth the proposed tax imposition for e-commerce. In this context, this paper will discuss the following issues: the first, if Indonesian government should impose the tax on e-commerce; the second, how much the potential tax revenue from e-commerce is; and the third, how Indonesian fiscal policy perspective views e-commerce taxation. The study in this paper adopts a descriptive analytical research method. The study concludes several points. Indonesia should tax its e-commerce. The total potential tax revenue on e-commerce from VAT and income tax in 2018 ranges from almost Rp11.75 trillion to Rp16.64 trillion, with VAT dominates the contribution up to more than 90% of the total tax revenue. By not levying the tax in the year means Indonesian government will lose a partial or the most of tax revenue. The revenue loss is potentially getting bigger in the coming years if the government still fails to collect the tax. E-commerce taxation should not be strictly enforced in the beginning, yet more is emphasized on socialization and education actions. It is also intended to help the online platform to be compliant. Tax policy in e-commerce can be used for the purpose of regulating the economy, such as to control excessive online import purchasing.

DOI 10.20525/ijrbs.v7i3.9002 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

Indonesian Logistics Infrastructure: The Performance and Fiscal Support

Sigit Setiawan

International Journal of Finance & Banking Studies · 2018

Read abstract

In the globalization and ASEAN Economic Community era, the competitiveness of Indonesian industries to sell goods and services is facing more severe challenges. It is partly due to the low performance of Indonesian logistics sector, and one of the contributing factors to the unsatisfactory logistics is poor logistics infrastructure. In this regard, this paper has several research objectives. The first is to analyze the performance of Indonesia logistics infrastructure in the past decade. The second is to analyze Indonesian logistics infrastructure development with its relevant fiscal policy support and evaluate its short-term progress. The research method adopted in this study is descriptive analytical method. In comparison with other countries, especially ASEAN region, the performance of Indonesian logistics infrastructure over the past decade tends to be steadily incompetitive, below the average of ASEAN countries. It is found to be one of the prime determinants of the high logistics costs in Indonesia. The government serious attention and the consistency of its policy towards improving logistics infrastructure during the 2014-2019 period has been partially seen, but the program sustainability is required in subsequent periods. In the short term, a temporary evaluation until 2017 of the sea toll program integrated with the construction of logistics infrastructure shows a positive impact. The positive impact is indicated from the decreasing prices of basic necessities in the eastern region of Indonesia by 20%-40%, and the economic revival of Eastern Indonesia region due to currently cheaper transportation costs.

DOI 10.20525/ijfbs.v7i2.8960 Crossref citations3 OpenAlex citations

Selected results

JOURNAL ARTICLE

E-commerce Taxation and Fiscal Policy Perspective: The Case of Indonesia

Sigit Setiawan

International Journal of Research in Business and Social Science · 2018

Read abstract

The Indonesian government is now seriously exploring in depth the proposed tax imposition for e-commerce. In this context, this paper will discuss the following issues: the first, if Indonesian government should impose the tax on e-commerce; the second, how much the potential tax revenue from e-commerce is; and the third, how Indonesian fiscal policy perspective views e-commerce taxation. The study in this paper adopts a descriptive analytical research method. The study concludes several points. Indonesia should tax its e-commerce. The total potential tax revenue on e-commerce from VAT and income tax in 2018 ranges from almost Rp11.75 trillion to Rp16.64 trillion, with VAT dominates the contribution up to more than 90% of the total tax revenue. By not levying the tax in the year means Indonesian government will lose a partial or the most of tax revenue. The revenue loss is potentially getting bigger in the coming years if the government still fails to collect the tax. E-commerce taxation should not be strictly enforced in the beginning, yet more is emphasized on socialization and education actions. It is also intended to help the online platform to be compliant. Tax policy in e-commerce can be used for the purpose of regulating the economy, such as to control excessive online import purchasing.

DOI 10.20525/ijrbs.v7i3.9002 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

Prospects and Competitiveness in Creative Economy: Evidence from Indonesia

Sigit Setiawan

International Journal of Research in Business and Social Science · 2018

Read abstract

A growing number of unimaginable cross-border start-up businesses have emerged in the ASEAN and global trade map, along with the development of communication and information technology that negates national borders.  The new sector-referred to as creative economy - requires and utilizes high specific knowledge, skills and creativity. With literature review and descriptive analysis method, this study aims to: firstly, analyze the prospects for Indonesian creative economic sector in the ASEAN market; secondly, analyze the competitiveness of Indonesia's creative economic sector in ASEAN and the world levels. By making comparison of the data in two periods (2002-2006 and 2014-2015 periods), it can be concluded that the average contribution of creative economy to Indonesian economy continues to increase. The increase goes to the added value, the sectoral contribution to GDP, the provision of employment, and the sectoral absorption of national labor. The prospect of Indonesian creative economy in the ASEAN market lies in the growth of potential customers from the middle class. The number of Indonesian middle class will continue to increase. By adopting and analyzing the output of the Global Creativity Index model, it can be concluded that the competitiveness of Indonesian creative economy in ASEAN and the world is still weak. The weak competitiveness is due to low technology index and talent index. However, based on the findings from previous studies in several regions in Indonesia, it appears that Indonesian people have great potential creativity to develop

DOI 10.20525/ijrbs.v7i2.8883 Crossref citations11 OpenAlex citations
JOURNAL ARTICLE

Indonesian Logistics Infrastructure: The Performance and Fiscal Support

Sigit Setiawan

International Journal of Finance & Banking Studies · 2018

Read abstract

In the globalization and ASEAN Economic Community era, the competitiveness of Indonesian industries to sell goods and services is facing more severe challenges. It is partly due to the low performance of Indonesian logistics sector, and one of the contributing factors to the unsatisfactory logistics is poor logistics infrastructure. In this regard, this paper has several research objectives. The first is to analyze the performance of Indonesia logistics infrastructure in the past decade. The second is to analyze Indonesian logistics infrastructure development with its relevant fiscal policy support and evaluate its short-term progress. The research method adopted in this study is descriptive analytical method. In comparison with other countries, especially ASEAN region, the performance of Indonesian logistics infrastructure over the past decade tends to be steadily incompetitive, below the average of ASEAN countries. It is found to be one of the prime determinants of the high logistics costs in Indonesia. The government serious attention and the consistency of its policy towards improving logistics infrastructure during the 2014-2019 period has been partially seen, but the program sustainability is required in subsequent periods. In the short term, a temporary evaluation until 2017 of the sea toll program integrated with the construction of logistics infrastructure shows a positive impact. The positive impact is indicated from the decreasing prices of basic necessities in the eastern region of Indonesia by 20%-40%, and the economic revival of Eastern Indonesia region due to currently cheaper transportation costs.

DOI 10.20525/ijfbs.v7i2.8960 Crossref citations3 OpenAlex citations

Data coverage & freshness

Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.

Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:56 UTC · ijfbscomplete · ijfbs · 20 Oct 2026 19:55 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
Full import history & methodology →