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OpenAlex coverage 100.0% · 13/13 recordsLast OpenAlex observation 29 Oct 2026, 16:17 UTC
PUBLICATIONS13In the selected collection
CROSSREF CITATIONS3213/13 with known counts
OPENALEX CITATIONS7513/13 with known counts
OPENALEX MEAN5.77Per 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

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2026 is year to date. 0 undated publications excluded.

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Citations received

OpenAlex · year of the citing work

OpenAlex

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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 University4Istanbul University2Sivas Cumhuriyet Üniversitesi113/13 records with data

Countries

Turkey13United States213/13 records with data

Primary topics

Multi-Criteria Decision Making1Stochastic processes and financial applications1Efficiency Analysis Using DEA113/13 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.

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Annual history: 13/13 articles. Latest history observation: 2026-10-29T16:17:06.161311+00:00. Source totals are never added together.
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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

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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.

Full analytics report All distributions, publications, comparisons & data provenance
13 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS13
CROSSREF CITATIONS32
CROSSREF · CITED PUBLICATIONS61.5%
CROSSREF · MEAN CITATIONS2.46

Crossref citation coverage: 13 / 13 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 CITATIONS75
DOI MATCH COVERAGE100.0%13 / 13 publications
MEAN · KNOWN COUNTS ONLY5.7713 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY1

Observation range: 23 Oct 2026 07:29 UTC — 29 Oct 2026 16:17 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations41–566–20221+1Unknown0

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.

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 13 / 13 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): 2026-10-23T07:29:59.716015+00:00 — 2026-10-29T16:17:06.161311+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

168.00 2017 · All selected publications · OpenAlex · Citations received by year: 7 · Annual history coverage 13/132018 · All selected publications · OpenAlex · Citations received by year: 16 · Annual history coverage 13/132019 · All selected publications · OpenAlex · Citations received by year: 11 · Annual history coverage 13/132020 · All selected publications · OpenAlex · Citations received by year: 11 · Annual history coverage 13/132021 · All selected publications · OpenAlex · Citations received by year: 7 · Annual history coverage 13/132022 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 13/132023 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 13/132024 · All selected publications · OpenAlex · Citations received by year: 6 · Annual history coverage 13/132025 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 13/132026 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 13/13 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications71313/13
2018All selected publications161313/13
2019All selected publications111313/13
2020All selected publications111313/13
2021All selected publications71313/13
2022All selected publications31313/13
2023All selected publications41313/13
2024All selected publications61313/13
2025All selected publications41313/13
2026All selected publications21313/13

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.

Mean2.46
Median1
No citations51–566–20221+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
13327513/132.46161.513/13 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 13 →

Most cited · Crossref

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

Read abstract

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

Finansal Okuryazarl?k Düzeyinin Belirlenmesi

Yusuf Kaderli · Umut Tolga Gümüş · Emre Danışman

International Journal of Finance & Banking Studies · 2016

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Küreselle?me, mal ve hizmetlerin dünya ölçe?inde serbest dola??m?d?r. Günümüzde teknolojide ya?anan geli?meler küreselle?menin h?z?n? artt?rm??t?r. Küreselle?meyle birlikte,  ekonomik geli?melerde ya?anan belirsizlik ve karma??kl?k, toplumlar?n ve bireylerin sosyo- ekonomik yap?lar?n? de?i?tirmi?tir. Toplumlar?n sosyo ekonomik yap?lar? bireylerin finansal kararlar?yla ?ekillenmektedir. Bireylerin alm?? oldu?u finansal kararlar?n do?rulu?u, bireylerin finansal okuryazarl?k düzeyi ile ilgilidir. Karma??k ve belirsiz ko?ullar içindeki ekonomide toplumun en küçük yap?s? olan ailelerin ald??? finansal kararlar sadece aileyi de?il tüm toplumu etkilemektedir. Ailelerin de?i?imin h?zl? ve sürekli oldu?u ekonomik hayatta ald??? yanl?? finansal kararlar nedeniyle birlik ve düzeni bozulmaktad?r. Bunun için demografik özelli?i farkl? her bireyin sahip oldu?u finansal okuryazarl?k düzeyini yükseltecek finansal e?itim uygulamalar?n?n önemi yüksektir. Birçok ara?t?rmada, ya?l? ve e?itim düzeyi dü?ük bireylerin daha çok finansal risk içinde oldu?u vurgulanmaktad?r. Bu çal??mada, Türk Silahl? Kuvvetlerinde görev yapm?? emekli askeri personelin finansal okuryazarl?k seviyesi incelenmi?tir. Ülkenin savunma hizmetlerinde çal??an Türk Silahl? Kuvvetleri personeli, görev sahas? itibariyle finansal sistemlerde ya?anan geli?melere uzak kalabilmektedir. Bu durum, bilgiye dayal? finansal kararlar alma becerisinin önemini art?rmaktad?r. Çal??ma sonucunda, emekli askeri personelin finansal okuryazarl?k seviyesi ve finansal bilgileri tespit edilmi?tir. Bu tespitler do?rultusunda aktif olarak görev yapan askeri personelin gelece?e dönük finansal fark?ndal???n? artt?rmak amaçlanm??t?r.

DOI 10.20525/ijfbs.v5i5.6355 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

The anatomy of bank performance during transition

Ihsan Isik · Larissa Kyj · Ihsan Kulali

International Journal of Finance & Banking Studies · 2016

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By drawing on Ukrainian experience, this paper analyzes the anatomy of bank efficiency in a transitional economy. Acknowledging the vast disparities in the business technology of different size banks, in this comprehensive study, we innovatively estimate group-specific (distinct) frontiers for small, medium, and large size banks. The results from separate frontiers reveal that Ukrainian banks record 38% technical inefficiency, 26% pure technical inefficiency, and 17% scale inefficiency on average. Apparently, banks in transition waste about the two fifths of their factor inputs during the production of financial services. The cardinal source of sub-performance in transitional banks seems to be managerial inefficiencies. We also found that banks operating in areas with more political influence and more developed infrastructure outperform the banks operating in politically and economically weaker regions. The results also indicate that larger banks, enjoying public trust in a risky business climate, dominate smaller banks in all forms of efficiency. However, such bias for size causes large banks to suffer from decreasing returns to scale and small banks from idle capacity. Consequently, the policies promoting consolidation between small and large banks may alleviate the excess (idle) capacity for large (small) banks in a transitional economy.

DOI 10.20525/ijfbs.v5i3.2953 Crossref citations6 OpenAlex citations
JOURNAL ARTICLE

Random Regression Forest Model using Technical Analysis Variables

Senol Emir · Hasan Dincer · Umit Hacioglu · Serhat Yuksel

International Journal of Finance & Banking Studies · 2016

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The purpose of this study is to explore the importance and ranking of technical analysis variables in Turkish banking sector. Random Forest method is used for determining importance scores of inputs for eight banks in Borsa Istanbul. Then two predictive models utilizing Random Forest (RF) and Artificial Neural Networks (ANN) are built for predicting BIST-100 index and bank closing prices. Results of the models are compared by three metrics namely Mean Absolute Error (MAE), Mean Square Error (MSE), Median Absolute Error (MedAE). Findings show that moving average (MAV-100) is the most important variable for both BIST -100 index and bank closing prices. Therefore, investors should follow this technical indicator with respect to Turkish banks. In addition ANN shows better performance for all metrics.

DOI 10.20525/ijfbs.v5i3.4612 Crossref citations3 OpenAlex citations

Selected results

JOURNAL ARTICLE

Conflict Risk and Its Implication on Economy and Financial System

Umit Hacioglu · Hasan Dincer · Ismail Erkan Celik

International Journal of Finance & Banking Studies · 2016

Read abstract

<p>Considering the impacts of the conflict on the economic parameters in terms of macroeconomics, the following factors might affect the profitability of the company: foreign capital outflows, decrease in exports, increase in the interest rates, disruption of the investment climate, increase in the exchange rates, increase in the costs of import entry etc. Due to the expectable decrease in profit shares as to the investors, the contraction in the risk appetite will cause volatility in the prices of equity securities markets based on the impacts of the conflict, and the equity securities will depreciate. In this study, the main contributions on conflict risk and related econometric models have been discussed.</p>

DOI 10.20525/ijfbs.v2i2.6380 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Regional Development and Effects of Investment Banks

Ismail Erkan Celik · Umit Hacioglu · Hasan Dincer

International Journal of Finance & Banking Studies · 2016

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<p>The World Bank is the most important financier for international investment. The bank opens credits mostly for investment projects in developing countries. Turkey has received various investment credits since its membership to the World Bank on March 11, 1947. The credits were used for economic and social domains. Turkey has also been granted credits from the European Investment Bank (EIB). The credits received are composed of micro credits that belong to small and medium enterprises (SMEs). A regional development bank, Islamic Development Bank, has also received credits through Eximbank and Industrial Development Bank of Turkey (TSKB) to finance Turkish SMEs. This paper deals with Turkish investment strategies in the framework of basic principles of investment – development banks.</p>

DOI 10.20525/ijfbs.v2i1.6410 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Investment and Development Banking and Its Development in Turkey

Ismail Erkan Celik · Umit Hacioglu · Hasan Dincer

International Journal of Finance & Banking Studies · 2016

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<p>Banks, one of the most significant economic means of the nations and international organizations, have occasionally become one of the institutions mostly affected by the financial crisis in the world. Especially in the economies of the developed countries, one of the most important aspects of the financial sector is measured by the size of the financial resources and assets of the banks. The size and place of the investment banks depends on the investment and existing credit reserves appropriated by its members. From this perspective, scrutinizing the Investment and Developments Banks, which is one of the economic growth criteria, is of high importance. To this end, in addition to the operation of the Investment and Development Banks, financial products of these banks in Turkey are also analyzed in this study.</p>

DOI 10.20525/ijfbs.v1i1.6400 Crossref citations0 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

Read abstract

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

Future Electricity Demand of the Emerging European Countries and the CIS Countries

Mehmet Fatih Bayramoglu

International Journal of Finance & Banking Studies · 2016

Read abstract

Nowadays, one of the leading factors used in the evaluation of a country’s economic development is energy consumption. Because of economic growth, demand for energy is also increasing. In this study, the emerging European countries’ (the Czech Republic, Poland, Romania, Turkey) and the CIS countries’ (Kazakhstan, Russia, Ukraine, Uzbekistan)  electricity consumption has been forecasted for five years period (2015-2019). In the study, GM(1,1) Rolling Model, which is developed in the framework of Grey System Theory is used as a mathematical model for real-time forecasting. The results of the study show that there will not be a significant change in electricity demand in this two area during the 2015-2109 period. 

DOI 10.20525/ijfbs.v5i6.6181 Crossref citations1 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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