Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
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.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
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.
OpenAlex · incoming citation links grouped by citing-work year
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.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
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.
Crossref citation coverage: 4 / 4 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 21 Oct 2026 00:49 UTC — 22 Oct 2026 06:29 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
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.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 9 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 3 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 9 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 6 | 1 | 1/1 | 1/1 |
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 4 / 4 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): 2026-10-21T00:49:32.524440+00:00 — 2026-10-22T06:29:25.718634+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 0 | 4 | 4/4 |
| 2022 | All selected publications | 2 | 4 | 4/4 |
| 2023 | All selected publications | 0 | 4 | 4/4 |
| 2024 | All selected publications | 6 | 4 | 4/4 |
| 2025 | All selected publications | 9 | 4 | 4/4 |
| 2026 | All selected publications | 1 | 4 | 4/4 |
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 ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2020 | 1 |
| 2023 | 2 |
| 2024 | 1 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 1 | 1 | 1 | 1/1 | 1.0 | 1 | 100.0 | 1/1 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 1 | 8 | 8 | 1/1 | 8.0 | 8 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 3 | 9 | 2/2 | 1.5 | 1.5 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
In the past decade, Southeast Asia has seen the development of financial inclusion, as evidenced by the growth of the penetration, availability, and usage dimensions of financial inclusion. This study analyses the impact financial inclusion has on economic growth, represented by GDP per capita growth, and unemployment using data from Indonesia, Malaysia, Thailand, the Philippines, and Cambodia. The authors employed panel data regression with fixed effect and random effect models to analyse the data. The results show that the number of commercial bank branches and outstanding loans statistically significantly affect GDP per capita growth, while the number of saving/deposit accounts does not. All three variables are shown to have a statistically significant impact on unemployment.
This study aims to investigate and identify the current conditions regarding the role of Sharia microfinance institutions in developing MSME businesses. The community needs Microfinance institutions, especially low-income groups and small and micro-entrepreneurs who have yet to be reached by banking financial services, especially public banks. In providing loans to MSMEs, microfinance institutions must effectively educate and equip their clients with relevant entrepreneurial knowledge and skills. This research will use a qualitative approach with a case study method, which does not use statistical generalizations but uses logical generalizations and replication. Three Sharia microfinance institutions and sixteen MSME cases will be selected in this research. The research was conducted at Sharia Microfinance Institutions as providers of microcredit and MSMEs receiving microcredit in the Southern region of the Special Region of Yogyakarta, Gunungkidul, and Kulonprogo. This research will use three data collection methods, namely interviews, observation, and documentation, to maintain the validity and reliability of the data. Data triangulation is used to test the validity of the data. The data analysis process in this research uses two stages: descriptive analysis and case analysis. The findings of this research show hope regarding the promise of easy access to capital or funding sources as an effective tool for improving MSME business development through effectiveness, supervision, and guidance carried out by Sharia microfinance institutions. This change can be realized if the community has economic stability obtained through easy access to capital, increasing business income, and empowering the community to be ready to become entrepreneurs. It supports the development of a creative economy industry based on entrepreneurship and globally competitive ethics.
This study primarily investigates microfinance practices for sustainable community welfare. Microcredit aims to provide credit to poor people to help empower communities and reduce poverty. Community empowerment strategies can be carried out by increasing the productivity of poor communities to increase their income. A basic approach that emphasizes that the poor move from their current situation to a better position by empowering MSMEs through the distribution of microcredit by micro-financial institutions. Changes that will result in sustainable prosperity, decreasing inequality between regions, and reducing community income gaps. This research will use a qualitative approach using the case study method, which does not use statistical generalizations but uses logical and replicative generalizations. This research uses multiple cases with varying characteristics as research informants. Two microfinance institutions and ten cases of MSMEs will be selected in this research. The study was conducted at Sharia Microfinance Institutions as providers of microcredit and MSMEs receiving microcredit in the Southern region of the Special Region of Yogyakarta, Bantul. This district was chosen because Bantul has the highest poverty rate. This condition is the focus of attention for maximum treatment. This research will use three data collection methods: interview, observation, and documentation, to maintain the data's validity and reliability. Data triangulation was used to test the validity of the data. The data analysis process in this research uses two stages: descriptive analysis and within-case analysis. The research results found that microfinance practices carried out through Sharia Microfinance Institutions (SMFI), apart from focusing on providing accessible financing facilities, have also provided direction in developing MSMEs and taking action towards community welfare. SMFI regularly provides business development training to MSMEs
Amid the increasingly competitive competition among banking institutions today, the Village Credit Institution ‘Lembaga Perkreditan Desa’ (LPD) belonging to the Pakraman village in Bali is getting stronger. This scientific work discusses LPD as the economic and socio-cultural capital of Balinese society. As a result of qualitative research, the data obtained through literature review, observation and in-depth interviews with nine informants, namely the administrators of the Empowering Institute of LPD of Bali Province and managers LPD Kesiman, Denpasar; LPD Seminyak, Kuta-Badung; and LPD Beraban Kediri. The data analysis was done by a descriptive interpretation by using management theory and Bourdeau social practice theory. The results of the research indicate that as economic capital, LPD proved able to build entrepreneurship and empower local villagers of pakraman. As a social capital, LPD has its own value structure, has a social network and gained the trust of its customers. Furthermore, as a cultural capital, LPD is able to strengthen the tradition of local pakraman villagers and become part of the cultural pillars of Balinese society. It is expected that LPD strengthening will continue to be done according to the needs and development of Balinese people
This study aims to investigate and identify the current conditions regarding the role of Sharia microfinance institutions in developing MSME businesses. The community needs Microfinance institutions, especially low-income groups and small and micro-entrepreneurs who have yet to be reached by banking financial services, especially public banks. In providing loans to MSMEs, microfinance institutions must effectively educate and equip their clients with relevant entrepreneurial knowledge and skills. This research will use a qualitative approach with a case study method, which does not use statistical generalizations but uses logical generalizations and replication. Three Sharia microfinance institutions and sixteen MSME cases will be selected in this research. The research was conducted at Sharia Microfinance Institutions as providers of microcredit and MSMEs receiving microcredit in the Southern region of the Special Region of Yogyakarta, Gunungkidul, and Kulonprogo. This research will use three data collection methods, namely interviews, observation, and documentation, to maintain the validity and reliability of the data. Data triangulation is used to test the validity of the data. The data analysis process in this research uses two stages: descriptive analysis and case analysis. The findings of this research show hope regarding the promise of easy access to capital or funding sources as an effective tool for improving MSME business development through effectiveness, supervision, and guidance carried out by Sharia microfinance institutions. This change can be realized if the community has economic stability obtained through easy access to capital, increasing business income, and empowering the community to be ready to become entrepreneurs. It supports the development of a creative economy industry based on entrepreneurship and globally competitive ethics.
This study primarily investigates microfinance practices for sustainable community welfare. Microcredit aims to provide credit to poor people to help empower communities and reduce poverty. Community empowerment strategies can be carried out by increasing the productivity of poor communities to increase their income. A basic approach that emphasizes that the poor move from their current situation to a better position by empowering MSMEs through the distribution of microcredit by micro-financial institutions. Changes that will result in sustainable prosperity, decreasing inequality between regions, and reducing community income gaps. This research will use a qualitative approach using the case study method, which does not use statistical generalizations but uses logical and replicative generalizations. This research uses multiple cases with varying characteristics as research informants. Two microfinance institutions and ten cases of MSMEs will be selected in this research. The study was conducted at Sharia Microfinance Institutions as providers of microcredit and MSMEs receiving microcredit in the Southern region of the Special Region of Yogyakarta, Bantul. This district was chosen because Bantul has the highest poverty rate. This condition is the focus of attention for maximum treatment. This research will use three data collection methods: interview, observation, and documentation, to maintain the data's validity and reliability. Data triangulation was used to test the validity of the data. The data analysis process in this research uses two stages: descriptive analysis and within-case analysis. The research results found that microfinance practices carried out through Sharia Microfinance Institutions (SMFI), apart from focusing on providing accessible financing facilities, have also provided direction in developing MSMEs and taking action towards community welfare. SMFI regularly provides business development training to MSMEs
In the past decade, Southeast Asia has seen the development of financial inclusion, as evidenced by the growth of the penetration, availability, and usage dimensions of financial inclusion. This study analyses the impact financial inclusion has on economic growth, represented by GDP per capita growth, and unemployment using data from Indonesia, Malaysia, Thailand, the Philippines, and Cambodia. The authors employed panel data regression with fixed effect and random effect models to analyse the data. The results show that the number of commercial bank branches and outstanding loans statistically significantly affect GDP per capita growth, while the number of saving/deposit accounts does not. All three variables are shown to have a statistically significant impact on unemployment.
Amid the increasingly competitive competition among banking institutions today, the Village Credit Institution ‘Lembaga Perkreditan Desa’ (LPD) belonging to the Pakraman village in Bali is getting stronger. This scientific work discusses LPD as the economic and socio-cultural capital of Balinese society. As a result of qualitative research, the data obtained through literature review, observation and in-depth interviews with nine informants, namely the administrators of the Empowering Institute of LPD of Bali Province and managers LPD Kesiman, Denpasar; LPD Seminyak, Kuta-Badung; and LPD Beraban Kediri. The data analysis was done by a descriptive interpretation by using management theory and Bourdeau social practice theory. The results of the research indicate that as economic capital, LPD proved able to build entrepreneurship and empower local villagers of pakraman. As a social capital, LPD has its own value structure, has a social network and gained the trust of its customers. Furthermore, as a cultural capital, LPD is able to strengthen the tradition of local pakraman villagers and become part of the cultural pillars of Balinese society. It is expected that LPD strengthening will continue to be done according to the needs and development of Balinese people
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
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |