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International Journal of Finance & Banking Studies

ISSN 2147-4486 • Journal website ↗

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OpenAlex coverage 100.0% · 4/4 recordsLast OpenAlex observation 01 Nov 2026, 06:26 UTC
PUBLICATIONS4In the selected collection
CROSSREF CITATIONS74/4 with known counts
OPENALEX CITATIONS264/4 with known counts
OPENALEX MEAN6.5Per article with a known count
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Most cited articles

Top 5 in the selected collection · Ranked by Crossref lifetime citations. Only articles with at least one known citation are included; source totals are never combined.

  1. 4Crossref citations
  2. 2Crossref citations
  3. Monetary Policy And Bank Lending Chanel in Turkey

    2017 · Zafer Adalı · Bilgin Bari

    1Crossref citations
The journal at a glance

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Publication activity alongside incoming citations.

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Institutions

Anadolu University1Artvin Coruh University1Central Bank of the Republic of Turkey14/4 records with data

Countries

Turkey44/4 records with data

Primary topics

Monetary Policy and Economic Impact1Corporate Social Responsibility Reporting1Banking stability, regulation, efficiency14/4 records with data
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Annual history: 4/4 articles. Latest history observation: 2026-11-01T06:26:38.422173+00:00. Source totals are never added together.
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International Journal of Finance & Banking Studies

Publications

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Crossref citations

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OpenAlex citations

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OpenAlex · Citations received

By year of the citing work · 2017–2026

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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.

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4 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS4
CROSSREF CITATIONS7
CROSSREF · CITED PUBLICATIONS75.0%
CROSSREF · MEAN CITATIONS1.75

Crossref citation coverage: 4 / 4 publications (100.0%). Latest observation: 21 Oct 2026, 00:21 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 CITATIONS26
DOI MATCH COVERAGE100.0%4 / 4 publications
MEAN · KNOWN COUNTS ONLY6.54 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY5.0

Observation range: 31 Oct 2026 19:01 UTC — 01 Nov 2026 06:26 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–526–20221+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

4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.

Countries

4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.

Primary topics

4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 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): 2026-10-31T19:01:09.101736+00:00 — 2026-11-01T06:26:38.422173+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

63.00 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42018 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 4/42019 · All selected publications · OpenAlex · Citations received by year: 6 · Annual history coverage 4/42020 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 4/42021 · All selected publications · OpenAlex · Citations received by year: 5 · Annual history coverage 4/42022 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 4/42023 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 4/42024 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42025 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 4/42026 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/4 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications044/4
2018All selected publications344/4
2019All selected publications644/4
2020All selected publications444/4
2021All selected publications544/4
2022All selected publications344/4
2023All selected publications444/4
2024All selected publications044/4
2025All selected publications144/4
2026All selected publications044/4

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 ↗

Crossref citation distribution

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

Mean1.75
Median1.5
No citations11–536–20021+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
47264/41.751.575.04/4 · 100.0%

* Percentage among publications with a known citation count.

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Most cited · Crossref

JOURNAL ARTICLE

Türkiye’de Yerleşik Bireylerin Sağlık Okuryazarlık Düzeylerinin Genel Sağlık Harcamaları Üzerindeki Etkisi

Nihal Kalaycı Oflaz · Nadir Eroglu

International Journal of Finance & Banking Studies · 2017

Read abstract

<em>Dünyada sağlığın geliştirilmesi ve sağlık bilincinin oluşturulması için birey temelli uygulamalara odaklanılmış ve bu kapsamda sağlık okuryazarlığı (SO) kavramı gündeme gelmeye başlamıştır. SO, bireylere kendi sağlık kararları ile ilgili doğru tercihlerde bulunma yetisinin kazandırılması yanında tıbbi bilgileri doğru anlama, yorumlama ve sağlığı ile ilgili uygun kararları verecek davranışlar geliştirmesinin sağlanmasını ifade etmektedir. Bireylerin demografik özellikleri, genetik faktörler, beslenme alışkanlıkları, hastalıkları yönetme şekli, sosyoekonomik özellikleri gibi pek çok faktör ile ilişkilendirilebilen sağlık okuryazarlığı düzeyinin yetersizliği elde edilen bulgulara göre sağlık hizmetlerine tahsis edilen kaynakların aşırı ya da gerektiği gibi kullanılmamasına neden olmaktadır.Bu çalışma ile yetersiz SO’nın sağlık harcamalarına olan etkilerinin analiz edilmesi ve Türkiye (TR)’nin sağlık harcamaları içerisinde yetersiz SO’dan kaynaklanan mali yükün tespit edilmesi amaçlanmaktadır. Bu amaçla Vernon ve Diğerlerinin (2007), Friedland (2002)’nin varsayımlarını kullanarak geliştirdiği maliyet tahmin modeli ile Sağlık ve Sosyal Hizmet Çalışanları Sendikası tarafından 2014 yılında yayınlanan “Türkiye Sağlık Okuryazarlığı Araştırması”nın verileri kullanılarak TR için yetersiz SO’nın tahmini maliyetleri hesaplanmıştır.</em>

DOI 10.20525/ijfbs.v6i2.7454 Crossref citations7 OpenAlex citations
JOURNAL ARTICLE

Identifying the Factors Influence Turkish Deposit Banks to Join Corporate Social Responsibility Activities by Using Panel Probit Method

Serhat Yuksel · Mustafa Ozsari

International Journal of Finance & Banking Studies · 2017

Read abstract

This study aims to determine the influencing factors of the banks to join corporate social responsibility activities. Within this scope, annual data of 23 deposit banks in Turkey for the periods between 2005 and 2015 was taken into the consideration. In addition to this situation, panel probit model was used in the analysis so as to achieve this objective. According to the results of the analysis, it was determined that there is a negative relationship between CSR activities and nonperforming loans ratio. This situation shows that banks do not prefer to make social responsibility activities in case of higher financial losses. In addition to this situation, it was also identified that there is a positive relationship between return on asset and corporate social responsibility activities of the banks. In other words, it can be understood that Turkish deposit banks, which have higher profitability, joint more CSR activities in comparison with others.

DOI 10.20525/ijfbs.v6i1.6432 Crossref citations15 OpenAlex citations
JOURNAL ARTICLE

Monetary Policy And Bank Lending Chanel in Turkey

Zafer Adalı · Bilgin Bari

International Journal of Finance & Banking Studies · 2017

Read abstract

<p><em>The main purpose of this study is to evaluate whether the bank lending channel exist or not. Within this context, quarterly data of for the periods between 2002q1 and 2016q4 was taken into the consideration. Additionally, VAR model was used to reach the objective. According to the result of impulse response function, it was reached that</em><em> producer price index, real exchange rate and policy rate are effective determinants. Additionally, banks balance sheet has important and positive influence on total credits but industrial production index is regarded as partially effective. While considering this result, it was also found that both bank balance and macroeconomic variables used in this study is the main determinants of bank total credit.</em></p>

DOI 10.20525/ijfbs.v6i2.7391 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Factors Impacting Bank Net Interest Margin and the Role of Monetary Policy: Evidence from Turkey

Muhammed Hasan Yılmaz

International Journal of Finance & Banking Studies · 2017

Read abstract

<p><em>In this study, we investigate factors affecting net interest margin (NIM) of commercial banks in Turkey. Especially, our results highlight the relation between unconventional monetary policy shocks and bank margins. To this end, first, we conduct an identification analysis about which parameters of asymmetric interest corridor framework are important in explaining variations in NIM. Using industry-level data, we show that there exists a pass through from BIST interbank overnight repo/reverse repo market rate and weighted average cost of funding (WACF) to bank loan and deposit rates. As a result of reduced-form Vector Autoregression (VAR) analysis we find the existence of a transmission mechanism from BIST rate and WACF to commercial loan rate, consumer loan rate and deposit rate. Same pass through to loan and deposit rates is also shown in individual bank level with the Panel Vector Autoregression (Panel VAR) analysis in the case of 16 commercial banks in Turkey during the period 2011Q1-2016Q1. After the identification analysis, we examine the relationship between NIM and policy rates through System Generalized Method of Moments (GMM) techniques by controlling bank specific, industry related and macroeconomic factors. We find that a change in the monetary policy rate has significant and positive impact on NIM. Among bank-specific factors, equity ratio and operating expenses are found to be significantly affecting NIM during the sample period. Our empirical findings also stress the significance of lag values of NIM. Estimations conducted with standardized variables indicate that economic significance of lag values and bank specific variables are larger than that of policy.</em></p>

DOI 10.20525/ijfbs.v6i2.7150 Crossref citations3 OpenAlex citations

Selected results

JOURNAL ARTICLE

Türkiye’de Yerleşik Bireylerin Sağlık Okuryazarlık Düzeylerinin Genel Sağlık Harcamaları Üzerindeki Etkisi

Nihal Kalaycı Oflaz · Nadir Eroglu

International Journal of Finance & Banking Studies · 2017

Read abstract

<em>Dünyada sağlığın geliştirilmesi ve sağlık bilincinin oluşturulması için birey temelli uygulamalara odaklanılmış ve bu kapsamda sağlık okuryazarlığı (SO) kavramı gündeme gelmeye başlamıştır. SO, bireylere kendi sağlık kararları ile ilgili doğru tercihlerde bulunma yetisinin kazandırılması yanında tıbbi bilgileri doğru anlama, yorumlama ve sağlığı ile ilgili uygun kararları verecek davranışlar geliştirmesinin sağlanmasını ifade etmektedir. Bireylerin demografik özellikleri, genetik faktörler, beslenme alışkanlıkları, hastalıkları yönetme şekli, sosyoekonomik özellikleri gibi pek çok faktör ile ilişkilendirilebilen sağlık okuryazarlığı düzeyinin yetersizliği elde edilen bulgulara göre sağlık hizmetlerine tahsis edilen kaynakların aşırı ya da gerektiği gibi kullanılmamasına neden olmaktadır.Bu çalışma ile yetersiz SO’nın sağlık harcamalarına olan etkilerinin analiz edilmesi ve Türkiye (TR)’nin sağlık harcamaları içerisinde yetersiz SO’dan kaynaklanan mali yükün tespit edilmesi amaçlanmaktadır. Bu amaçla Vernon ve Diğerlerinin (2007), Friedland (2002)’nin varsayımlarını kullanarak geliştirdiği maliyet tahmin modeli ile Sağlık ve Sosyal Hizmet Çalışanları Sendikası tarafından 2014 yılında yayınlanan “Türkiye Sağlık Okuryazarlığı Araştırması”nın verileri kullanılarak TR için yetersiz SO’nın tahmini maliyetleri hesaplanmıştır.</em>

DOI 10.20525/ijfbs.v6i2.7454 Crossref citations7 OpenAlex citations
JOURNAL ARTICLE

Monetary Policy And Bank Lending Chanel in Turkey

Zafer Adalı · Bilgin Bari

International Journal of Finance & Banking Studies · 2017

Read abstract

<p><em>The main purpose of this study is to evaluate whether the bank lending channel exist or not. Within this context, quarterly data of for the periods between 2002q1 and 2016q4 was taken into the consideration. Additionally, VAR model was used to reach the objective. According to the result of impulse response function, it was reached that</em><em> producer price index, real exchange rate and policy rate are effective determinants. Additionally, banks balance sheet has important and positive influence on total credits but industrial production index is regarded as partially effective. While considering this result, it was also found that both bank balance and macroeconomic variables used in this study is the main determinants of bank total credit.</em></p>

DOI 10.20525/ijfbs.v6i2.7391 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Factors Impacting Bank Net Interest Margin and the Role of Monetary Policy: Evidence from Turkey

Muhammed Hasan Yılmaz

International Journal of Finance & Banking Studies · 2017

Read abstract

<p><em>In this study, we investigate factors affecting net interest margin (NIM) of commercial banks in Turkey. Especially, our results highlight the relation between unconventional monetary policy shocks and bank margins. To this end, first, we conduct an identification analysis about which parameters of asymmetric interest corridor framework are important in explaining variations in NIM. Using industry-level data, we show that there exists a pass through from BIST interbank overnight repo/reverse repo market rate and weighted average cost of funding (WACF) to bank loan and deposit rates. As a result of reduced-form Vector Autoregression (VAR) analysis we find the existence of a transmission mechanism from BIST rate and WACF to commercial loan rate, consumer loan rate and deposit rate. Same pass through to loan and deposit rates is also shown in individual bank level with the Panel Vector Autoregression (Panel VAR) analysis in the case of 16 commercial banks in Turkey during the period 2011Q1-2016Q1. After the identification analysis, we examine the relationship between NIM and policy rates through System Generalized Method of Moments (GMM) techniques by controlling bank specific, industry related and macroeconomic factors. We find that a change in the monetary policy rate has significant and positive impact on NIM. Among bank-specific factors, equity ratio and operating expenses are found to be significantly affecting NIM during the sample period. Our empirical findings also stress the significance of lag values of NIM. Estimations conducted with standardized variables indicate that economic significance of lag values and bank specific variables are larger than that of policy.</em></p>

DOI 10.20525/ijfbs.v6i2.7150 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Identifying the Factors Influence Turkish Deposit Banks to Join Corporate Social Responsibility Activities by Using Panel Probit Method

Serhat Yuksel · Mustafa Ozsari

International Journal of Finance & Banking Studies · 2017

Read abstract

This study aims to determine the influencing factors of the banks to join corporate social responsibility activities. Within this scope, annual data of 23 deposit banks in Turkey for the periods between 2005 and 2015 was taken into the consideration. In addition to this situation, panel probit model was used in the analysis so as to achieve this objective. According to the results of the analysis, it was determined that there is a negative relationship between CSR activities and nonperforming loans ratio. This situation shows that banks do not prefer to make social responsibility activities in case of higher financial losses. In addition to this situation, it was also identified that there is a positive relationship between return on asset and corporate social responsibility activities of the banks. In other words, it can be understood that Turkish deposit banks, which have higher profitability, joint more CSR activities in comparison with others.

DOI 10.20525/ijfbs.v6i1.6432 Crossref citations15 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 00:21 UTC · ijfbscomplete · ijfbs · 21 Oct 2026 00:21 UTC
ojs-rest21 Oct 2026 00:21 UTC · ijfbscomplete · ijfbs · 21 Oct 2026 00:14 UTC
oai-pmh20 Oct 2026 19:56 UTC · ijfbscomplete · ijfbs · 20 Oct 2026 19:55 UTC
openalex-enrichment21 Oct 2026 00:22 UTC · ijfbscomplete · ijfbs · 21 Oct 2026 00:21 UTC
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