CiteNScope — Scholarly Index & Analytics
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OpenAlex coverage 100.0% · 33/33 recordsLast OpenAlex observation 27 Oct 2026, 19:03 UTC
PUBLICATIONS33In the selected collection
CROSSREF CITATIONS10533/33 with known counts
OPENALEX CITATIONS25533/33 with known counts
OPENALEX MEAN7.73Per article with a known count
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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.

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Institutions

Istanbul Medipol University7Istanbul University5Istanbul Commerce University333/33 records with data

Countries

Turkey33United States2Iraq133/33 records with data

Primary topics

Multi-Criteria Decision Making2Corporate Social Responsibility Reporting2Banking stability, regulation, efficiency233/33 records with data
Two perspectives on citations

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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: 33/33 articles. Latest history observation: 2026-10-27T19:03:59.340614+00:00. Source totals are never added together.
Research side by side

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International Journal of Finance & Banking Studies

Publications

Articles by publication year

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Crossref citations

Latest lifetime totals · grouped by publication year

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OpenAlex citations

Latest lifetime totals · grouped by publication year

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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
33 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS33
CROSSREF CITATIONS105
CROSSREF · CITED PUBLICATIONS63.6%
CROSSREF · MEAN CITATIONS3.18

Crossref citation coverage: 33 / 33 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 CITATIONS255
DOI MATCH COVERAGE100.0%33 / 33 publications
MEAN · KNOWN COUNTS ONLY7.7333 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY3

Observation range: 22 Oct 2026 00:40 UTC — 27 Oct 2026 19:03 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations61–5176–20721+3Unknown0

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

33 / 33 with data · 0 missing or unmatched. Percentages use all 33 selected publications.

Countries

33 / 33 with data · 0 missing or unmatched. Percentages use all 33 selected publications.

Primary topics

33 / 33 with data · 0 missing or unmatched. Percentages use all 33 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 33 / 33 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): 2026-10-22T00:40:51.226020+00:00 — 2026-10-27T19:03:59.340614+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

4522.50 2017 · All selected publications · OpenAlex · Citations received by year: 20 · Annual history coverage 33/332018 · All selected publications · OpenAlex · Citations received by year: 32 · Annual history coverage 33/332019 · All selected publications · OpenAlex · Citations received by year: 45 · Annual history coverage 33/332020 · All selected publications · OpenAlex · Citations received by year: 35 · Annual history coverage 33/332021 · All selected publications · OpenAlex · Citations received by year: 29 · Annual history coverage 33/332022 · All selected publications · OpenAlex · Citations received by year: 23 · Annual history coverage 33/332023 · All selected publications · OpenAlex · Citations received by year: 21 · Annual history coverage 33/332024 · All selected publications · OpenAlex · Citations received by year: 18 · Annual history coverage 33/332025 · All selected publications · OpenAlex · Citations received by year: 14 · Annual history coverage 33/332026 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 33/33 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications203333/33
2018All selected publications323333/33
2019All selected publications453333/33
2020All selected publications353333/33
2021All selected publications293333/33
2022All selected publications233333/33
2023All selected publications213333/33
2024All selected publications183333/33
2025All selected publications143333/33
2026All selected publications33333/33

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.

Mean3.18
Median1
No citations121–5176–20321+1Unknown0

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
3310525533/333.18163.633/33 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 33 →

Most cited · Crossref

JOURNAL ARTICLE

CAMELS-based Determinants for the Credit Rating of Turkish Deposit Banks

Serhat Yuksel · Hasan Dincer · Umit Hacioglu

International Journal of Finance & Banking Studies · 2015

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This paper demonstrates the relationship between CAMELS ratios and credit ratings of deposit banks in Turkey. Annual data was used for the period between 2004 and 2014 in this study. Moreover, 20 deposit banks of Turkey were analyzed and 21 different ratios of CAMELS components were used. In addition to that, credit ratings of these banks were provided from Moody’s corporation or annual activity reports of the banks. After that, we created multi nominal logistic regression analysis in order to illustrate the relationship. The major finding in this study is that three components (Asset Quality, Management Quality, and Sensitivity to Market Risk) of CAMELS have effects on credit ratings whereas the ratios related to Capital Adequacy and Earnings are not effective. As a result, it was recommended that Turkish deposit banks should concentrate on the percentage of fixed assets and interest income to have a better rating. Moreover, having high market share with respect to total assets and lower interest expense are also other important points for this purpose. On the other hand, Turkish deposit banks should control the proportion of financial assets and increase the amount of FX liquid assets to prevent credit ratings to decrease. Additionally, market share of banks for loans should not reach at high level for this objective.

DOI 10.20525/ijfbs.v4i4.3529 Crossref citations68 OpenAlex citations
JOURNAL ARTICLE

Application of Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) Method for Bank Branch Location Selection

Ali Gorener · Hasan Dinçer · Umit Hacioglu

International Journal of Finance & Banking Studies · 2013

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Location selection problem in banking is an important issue for the commercial success in competitive environment. There is a strategic fit between the location selection decision and overall performance of a new branch. Providing physical service in requested location as well as alternative distribution channels to meet profitable client needs is the current problematic to achieve the competitive advantage over the rivalry in financial system. In this paper, an integrated model has been developed to support in the decision of branch location selection for a new bank branch. Analytic Hierarchy Process (AHP) technique has been conductedto prioritize of evaluation criteria, and multi-objective optimization on the basis of ratio analysis (MOORA) method has been applied to rank location alternatives of bank branch.

DOI 10.20525/ijfbs.v2i2.14518 Crossref citations31 OpenAlex citations
JOURNAL ARTICLE

Türkiye’de Hayat D??? Sigortac?l?k Sektöründe Kârl?l?k, Sermaye Yap?s? ve Yo?unla?ma ?li?kisine Yönelik Ampirik Bir Uygulama

Veli Akel · Talip Torun · Barıs Aksoy

International Journal of Finance & Banking Studies · 2016

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Bu çal??man?n amac?, Türkiye’de hayat d??? sigortac?l?k sektöründe aktif karl?l??? ile firmaya özgü faktörler aras?ndaki ili?kiyi tespit ederek aktif kârl?l???n?n etkinlikten mi yoksa yo?unla?madan m? kaynakland???n? belirlemektir. Bu amaçla, Türk sigorta sektöründe faaliyet gösteren 36 hayat d??? sigorta ?irketi aras?nda 2015 y?l? verilerine göre pazar?n toplam %83.38’ini olu?turan 15 sigorta ?irketinin 2010-2015 dönemine ait mali verileri ile performans ili?kisine yönelik Period SUR panel veri analizi yap?lm??t?r. Analiz sonuçlar?na göre, aktif büyüklü?ü, likidite ve pazar pay? de?i?kenleri ile aktif karl?l??? aras?nda pozitif ve istatistiki olarak anlaml? bir ili?ki tespit edilmi?ken kald?raç, hasar/prim oran? ve firma ya?? de?i?kenleri aras?nda ise negatif ve istatistiki olarak anlaml? bir ili?ki tespit edilmi?tir.  Analiz dönemi boyunca Herfindahl–Hirschman Endeksi de?erleri 1.500’ün alt?nda oldu?u için Türkiye’de hayat d??? sigortac?l?k sektörünün yo?un olmayan bir piyasa görünümünde oldu?u tespit edilmi?tir. Bu nedenle, hayat d??? sigortac?l?k sektöründe aktif kârl?l??? yo?unla?madan daha ziyade faaliyetlerdeki etkinlikten kaynaklanmaktad?r.

DOI 10.20525/ijfbs.v5i5.63613 Crossref citations14 OpenAlex citations
JOURNAL ARTICLE

Application of Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) Method for Bank Branch Location Selection

Ali Görener · Hasan Dincer · Umit Hacioglu

International Journal of Finance & Banking Studies · 2016

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<p>Location selection problem in banking is an important issue for the commercial success in competitive environment. There is a strategic fit between the location selection decision and overall performance of a new branch. Providing physical service in requested location as well as alternative distribution channels to meet profitable client needs is the current problematic to achieve the competitive advantage over the rivalry in financial system. In this paper, an integrated model has been developed to support in the decision of branch location selection for a new bank branch. Analytic Hierarchy Process (AHP) technique has been conducted to prioritize of evaluation criteria, and multi-objective optimization on the basis of ratio analysis (MOORA) method has been applied to rank location alternatives of bank branch.  </p>

DOI 10.20525/.v2i2.1456 Crossref citations41 OpenAlex citations
JOURNAL ARTICLE

Bank Stability and Systemic Risk Measurement

Coskun Tarkocin · Murat Donduran

International Journal of Finance & Banking Studies · 2023

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The banking system’s role as an intermediary between depositors and borrowers makes its stability a crucial element of the economy. Individual bank stability impacts the stability of the financial sector and, consequently, the real sector and economic growth. This study is a detailed investigation of bank stability scores for the Turkish banking sector. Turkey experienced a major banking crisis from 2000 to 2001. However, with an improved regulatory environment and structural reforms, its resilience to shocks increased significantly in subsequent years. The present study contributes to the literature in three areas. First, it applies eight variations of the Z-score to the Turkish banking sector to test the importance of time and risk variation. Second, it investigates the impact on stability scores of several factors–the implementation of new capital regulations and Basel III liquidity rules, the Turkish lira crisis and the effects of COVID-19). Finally, it measures the contribution to systemic risk of each Turkish bank using the leave-one-out (LOO) Z-score method; this is the first study to use this method to analyse the contribution of different bank types to the overall stability of the sector.

DOI 10.20525/ijfbs.v12i1.23195 Crossref citations6 OpenAlex citations

Selected results

JOURNAL ARTICLE

Empirical Studies related to Corporate Disclosure on Social Media

Taha Ismael Mohammed Mohammed · Aslihan Bozcuk

International Journal of Finance & Banking Studies · 2024

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This paper portrays the literature on voluntary corporate disclosure via social media networks over the course of two decades (2002-2022) through a content analysis framework. Focusing on papers in English, Turkish and Arabic, it reviews a total of 65 studies from 15 countries, based on number of posts, type of information disclosure, time span and social media platforms used. Additionally, it provides a detailed break-down of the reported effect between voluntary disclosures on social media and a total of 37 different variables used to proxy for market, accounting, corporate governance and firm-specific (size, age and risk) measures. Drawing from an exhaustive analysis encompassing more than 51 thousand companies and nearly 70 million social media posts, the prevailing body of knowledge pertaining to corporate disclosures via social media predominantly hinges upon empirical evidence based on the United States and the United Kingdom. We feel that more country comparison studies and multi-lingual samples as well as meta-analyses could significantly improve our understanding of this field.  

DOI 10.20525/ijfbs.v13i1.33260 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Bank Stability and Systemic Risk Measurement

Coskun Tarkocin · Murat Donduran

International Journal of Finance & Banking Studies · 2023

Read abstract

The banking system’s role as an intermediary between depositors and borrowers makes its stability a crucial element of the economy. Individual bank stability impacts the stability of the financial sector and, consequently, the real sector and economic growth. This study is a detailed investigation of bank stability scores for the Turkish banking sector. Turkey experienced a major banking crisis from 2000 to 2001. However, with an improved regulatory environment and structural reforms, its resilience to shocks increased significantly in subsequent years. The present study contributes to the literature in three areas. First, it applies eight variations of the Z-score to the Turkish banking sector to test the importance of time and risk variation. Second, it investigates the impact on stability scores of several factors–the implementation of new capital regulations and Basel III liquidity rules, the Turkish lira crisis and the effects of COVID-19). Finally, it measures the contribution to systemic risk of each Turkish bank using the leave-one-out (LOO) Z-score method; this is the first study to use this method to analyse the contribution of different bank types to the overall stability of the sector.

DOI 10.20525/ijfbs.v12i1.23195 Crossref citations6 OpenAlex citations
JOURNAL ARTICLE

THE IMPACT OF FIRM CHARACTERISTICS ON THE LEVEL OF VOLUNTARY DISCLOSURE:

Isam Abdelhafid A. Milad · Ali Altug Bicer

International Journal of Finance & Banking Studies · 2020

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This study aims to examine the impact of some bank characteristics (age, size, profitability and leverage) on the extent of voluntary disclosure in annual reports of listed banks in Borsa Istanbul. All (13) listed banks represent the sample of the study. The study adopted the deductive approach by developing hypotheses based on the relevant theories and results of prior studies. The study also applied the panel data strategy to analyze the collected data from annual reports across five years (2013-2017). The results indicated that there is a positive relationship between each bank characteristic (age, size, profitability and leverage) and the level of voluntary disclosure. The results also show that profitability has a big impact on the level of voluntary disclosure followed by leverage, whereas, age and size have a small effect.

DOI 10.20525/ijfbs.v9i2.6933 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

IFRS 15

A. Engin ERGÜDEN

International Journal of Finance & Banking Studies · 2020

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Revenue is one of the most important performance and size indicators for businesses. A new standard, which has more comprehensive and comparable feature to eliminate the deficiencies in the IFRS (International Financial Reporting Standart)-15 Revenue From Customer Contracts Standard published on 15.01.2019 and the old revenue (IAS-18 Revenue and  IAS (Inernational Accounting Standarts) -11 Construction Contracts) standards to be applied in the accounting periods starting after 01.01.2018, has been introduced. The most important purpose of the standard is to eliminate the uncertainties and deficiencies in the old standards with a five-step model on important issues related to when and what amount of the revenue based on the contract with customers will be accounted.
  
 According to IFRS-15 Revenue From Customer Contracts Standard, which is applied for the accurate reporting of revenues, comprehensive  analysis of the financial table footnotes of the businesses in the tourism sector concerning presentation of the records related to the revenue in the financial statements in the footnotes, the contracts placed with the customer of the enterprise, important evaluations in the application of the standard and the transaction costs incurred in the financial statements as an asset has been the scope of this study.

DOI 10.20525/ijfbs.v9i1.6501 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Significant Determiners of Greek Debt Crisis: A Comparative Analysis with Probit and MARS Approaches

Filiz Mızrak · Serhat Yüksel

International Journal of Finance & Banking Studies · 2019

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The purpose of this study is to determine major indicators of the Greek crisis that started in 2009 and the effects of which can still be observed. In this regard, 8 independent variables were applied so as to fulfill the objective. Besides, the annual data between the years 1984 and 2016 was analyzed with Probit model. As a consequence of this study, it was concluded that inflation and gross savings are the leading meters of Greek crisis based on probit method. On the other hand, according to the MARS results, 3 different variables are identified as the indicators of the debt crisis in Greece. It is concluded that there is a negative relation between financial crisis with saving ratio and current account balance. Additionally, it is also identified that high unemployment ratio leads to financial crisis. While comparisng the results of these two approaches, it is concluded that MARS is much more successful than the probit method to predict the debt crisis in Greece. It is strongly recommended that saving ratio should be increased in Greece. For this purpose, governments should take some actions in order to increase this ratio more than 15.5%. Within this framework, media channels can be used by the government to tell the people about the importance of the savings to have sustainable economic development.

DOI 10.20525/ijfbs.v8i3.8345 Crossref citations5 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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