CiteNScope — Scholarly Index & Analytics
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Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 3/3 recordsLast OpenAlex observation 21 Oct 2026, 00:49 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS63/3 with known counts
OPENALEX CITATIONS153/3 with known counts
OPENALEX MEAN5.0Per article with a known count
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institution: Muhammadiyah University of Surakarta 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.

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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.

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Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

Muhammadiyah University of Surakarta33/3 records with data

Countries

Indonesia33/3 records with data

Primary topics

Islamic Finance and Banking Studies2Disaster Management and Resilience13/3 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.

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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: 2026-10-21T00:49:30.111903+00:00. Source totals are never added together.
Research side by side

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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 CITATIONS6
CROSSREF · CITED PUBLICATIONS33.3%
CROSSREF · MEAN CITATIONS2.0

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 CITATIONS15
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY5.03 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY2

Observation range: 21 Oct 2026 00:22 UTC — 21 Oct 2026 00:49 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–516–20121+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): 2026-10-21T00:22:03.847735+00:00 — 2026-10-21T00:49:30.111903+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

42.00 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: 2 · Annual history coverage 3/32020 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 3/32021 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 3/32022 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 3/32023 · All selected publications · OpenAlex · Citations received by year: 1 · 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: 0 · Annual history coverage 3/32026 · All selected publications · OpenAlex · Citations received by year: 1 · 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 publications233/3
2020All selected publications133/3
2021All selected publications333/3
2022All selected publications333/3
2023All selected publications133/3
2024All selected publications433/3
2025All selected publications033/3
2026All selected publications133/3

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.

Mean2.0
Median0
No citations21–506–20121+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
2022/20.00.00.02/2 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
16131/16.06100.01/1 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

Disaster as Business Risk in SME: An Exploratory Study

Anton Agus Setyawan · Muzakar Isa · Farid Wajdi · Syamsudin Syamsudin

International Journal of Research in Business and Social Science · 2017

Read abstract

The concept of business risk has been extended to several new concepts. Disaster, disease, social unrest and terrorism are emerging as part of business risks. This study aim is to explore classification of disaster risk in micro, small and medium enterprises (MSME). This study explains factors and risk perception of disaster prevention and reduction. The study based on survey, which involved 315 MSMEs, focus group discussion and in-depth interview with several key informants. We use content analysis as a basic tool in the data analysis process, with descriptive statistic to complete information findings in the study. Unit analysis of this study are MSME industries, they are batik and textile, furniture and handy-craft and food industry. The result shows that they are interconnectedness between financial institution, local governance and MSME in the disaster risk management model. Each party has obligations in conducting preparedness of disaster and risk protection procedures for disaster risk management. We also find that there is still very low risk perception among MSME in Surakarta. This could be a potential problem when the disaster risk management should be implemented in MSME business.

DOI 10.20525/ijrbs.v6i6.8316 Crossref citations13 OpenAlex citations
JOURNAL ARTICLE

Impact of The Covid-19 Outbreak on The Stability of Sharia Banking Financial Performance

Dinda Khoirotunnisa · Zulfikar Zulfikar

International Journal of Finance & Banking Studies · 2022

Read abstract

The Covid-19 pandemic which became an epidemic throughout the world including Indonesia, so that all sectors including the economy experienced contractions, one of which was Islamic Commercial Banks which faced challenges in the midst of the Covid-19 outbreak such as possible risks to financial performance, so the purpose of this study is to analyze financial performance. Islamic commercial banks during the covid-19 pandemic and are expected to increase economic growth and maintain stability in economic conditions, using ROA, CAR, NPF, FDR and ERM ratios as variables, with a sample of 11 Islamic Commercial Banks, research using comparative quantitative methods, data processed with the paired sample t-test and the data taken are the financial statements of Islamic Commercial Banks for the previous 2018 – 2019 period, and the 2020 – 2021 period after covid-19. The result is that there are significant differences in the CAR, ROA, FDR and ERM ratios on the financial performance of Islamic banking before and after covid-19, while the NPF is not significant.  

DOI 10.20525/ijfbs.v11i3.21070 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

Performance Measurement of Islamic Bank in Indonesia, is Merger Necessary?

Norma Wijayanti · Anton Setyawan · Farid Wajdi · Imronudin Imronudin

International Journal of Finance & Banking Studies · 2022

Read abstract

In 2021, Indonesia’s administration decides to conduct a merger among Islamic government bank. The emerge of syariah financial market is the reason of this policy. This study analyzes Islamic banks merger policy by assessing their financial performance. The purpose of this study is to analyze financial efficiency of Islamic Banks and Conventional Banks in Indonesia based on the 2019  financial reports by using the Data Envelopment Analysis (DEA) method. Practical contributions of this study for the banking industry was as a guidance for the management in measuring banking activities by analysing the efficiency level so that it can be used to compile business strategies. Basically, financial performance analysis is the result of evaluation of past performance. In this study, we use different analyses in order to obtain a company’s financial position that represents the company’s reality and potential for continuous performance. Business performance represents effectiveness and the efficiency of an organization or company. Company or organization assess their performance to understand their achivement and evaluate their business plans. In this study we developed business performance measurement based on input and output of Islamic and conventional banks in Indonesia. We employ Data Envelopment Analysis which calculate the ratio between output and input. In this study, we use deposits, fixed assets and labor costs as input, while credit or financing and operating income as output variables. In this study, we find that there are several conventional and Islamic banks that suffers inefficiency. This inefficiency occurs due to the ratio of inputs and outputs in conventional and Islamic banks are not optimum.

DOI 10.20525/ijfbs.v11i1.15270 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Impact of The Covid-19 Outbreak on The Stability of Sharia Banking Financial Performance

Dinda Khoirotunnisa · Zulfikar Zulfikar

International Journal of Finance & Banking Studies · 2022

Read abstract

The Covid-19 pandemic which became an epidemic throughout the world including Indonesia, so that all sectors including the economy experienced contractions, one of which was Islamic Commercial Banks which faced challenges in the midst of the Covid-19 outbreak such as possible risks to financial performance, so the purpose of this study is to analyze financial performance. Islamic commercial banks during the covid-19 pandemic and are expected to increase economic growth and maintain stability in economic conditions, using ROA, CAR, NPF, FDR and ERM ratios as variables, with a sample of 11 Islamic Commercial Banks, research using comparative quantitative methods, data processed with the paired sample t-test and the data taken are the financial statements of Islamic Commercial Banks for the previous 2018 – 2019 period, and the 2020 – 2021 period after covid-19. The result is that there are significant differences in the CAR, ROA, FDR and ERM ratios on the financial performance of Islamic banking before and after covid-19, while the NPF is not significant.  

DOI 10.20525/ijfbs.v11i3.21070 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

Performance Measurement of Islamic Bank in Indonesia, is Merger Necessary?

Norma Wijayanti · Anton Setyawan · Farid Wajdi · Imronudin Imronudin

International Journal of Finance & Banking Studies · 2022

Read abstract

In 2021, Indonesia’s administration decides to conduct a merger among Islamic government bank. The emerge of syariah financial market is the reason of this policy. This study analyzes Islamic banks merger policy by assessing their financial performance. The purpose of this study is to analyze financial efficiency of Islamic Banks and Conventional Banks in Indonesia based on the 2019  financial reports by using the Data Envelopment Analysis (DEA) method. Practical contributions of this study for the banking industry was as a guidance for the management in measuring banking activities by analysing the efficiency level so that it can be used to compile business strategies. Basically, financial performance analysis is the result of evaluation of past performance. In this study, we use different analyses in order to obtain a company’s financial position that represents the company’s reality and potential for continuous performance. Business performance represents effectiveness and the efficiency of an organization or company. Company or organization assess their performance to understand their achivement and evaluate their business plans. In this study we developed business performance measurement based on input and output of Islamic and conventional banks in Indonesia. We employ Data Envelopment Analysis which calculate the ratio between output and input. In this study, we use deposits, fixed assets and labor costs as input, while credit or financing and operating income as output variables. In this study, we find that there are several conventional and Islamic banks that suffers inefficiency. This inefficiency occurs due to the ratio of inputs and outputs in conventional and Islamic banks are not optimum.

DOI 10.20525/ijfbs.v11i1.15270 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Disaster as Business Risk in SME: An Exploratory Study

Anton Agus Setyawan · Muzakar Isa · Farid Wajdi · Syamsudin Syamsudin

International Journal of Research in Business and Social Science · 2017

Read abstract

The concept of business risk has been extended to several new concepts. Disaster, disease, social unrest and terrorism are emerging as part of business risks. This study aim is to explore classification of disaster risk in micro, small and medium enterprises (MSME). This study explains factors and risk perception of disaster prevention and reduction. The study based on survey, which involved 315 MSMEs, focus group discussion and in-depth interview with several key informants. We use content analysis as a basic tool in the data analysis process, with descriptive statistic to complete information findings in the study. Unit analysis of this study are MSME industries, they are batik and textile, furniture and handy-craft and food industry. The result shows that they are interconnectedness between financial institution, local governance and MSME in the disaster risk management model. Each party has obligations in conducting preparedness of disaster and risk protection procedures for disaster risk management. We also find that there is still very low risk perception among MSME in Surakarta. This could be a potential problem when the disaster risk management should be implemented in MSME business.

DOI 10.20525/ijrbs.v6i6.8316 Crossref citations13 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 →