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Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 32/32 recordsLast OpenAlex observation 02 Nov 2026, 06:59 UTC
Data freshness · articles and citations

New articles are checked daily. Citation sources are refreshed monthly. All times below are UTC. A successful check may find no new publications.

International Journal of Research in Business and Social Science
Last article check: 03 Nov 2026 19:06 · Completed
Last successful article refresh: 03 Nov 2026 19:06
Next article check due: 04 Nov 2026 19:06
Crossref refresh: 21 Oct 2026 07:22 · OpenAlex refresh: 21 Oct 2026 07:23
International Journal of Finance & Banking Studies
Last article check: 03 Nov 2026 19:06 · Completed
Last successful article refresh: 03 Nov 2026 19:06
Next article check due: 04 Nov 2026 19:06
Crossref refresh: 21 Oct 2026 00:21 · OpenAlex refresh: 21 Oct 2026 00:22
PUBLICATIONS32In the selected collection
CROSSREF CITATIONS11932/32 with known counts
OPENALEX CITATIONS24332/32 with known counts
OPENALEX MEAN7.59Per article with a known count
Explore articles 32 →
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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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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: 32/32 articles. Latest history observation: 2026-11-02T06:59:48.242238+00:00. Source totals are never added together.
Research side by side

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International Journal of Finance & Banking StudiesInternational Journal of Research in Business and Social Science

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
32 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS32
CROSSREF CITATIONS119
CROSSREF · CITED PUBLICATIONS78.1%
CROSSREF · MEAN CITATIONS3.72

Crossref citation coverage: 32 / 32 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 CITATIONS243
DOI MATCH COVERAGE100.0%32 / 32 publications
MEAN · KNOWN COUNTS ONLY7.5932 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY3.5

Observation range: 22 Oct 2026 01:06 UTC — 02 Nov 2026 06:59 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations41–5176–20921+2Unknown0

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

32 / 32 with data · 0 missing or unmatched. Percentages use all 32 selected publications.

Countries

32 / 32 with data · 0 missing or unmatched. Percentages use all 32 selected publications.

Primary topics

32 / 32 with data · 0 missing or unmatched. Percentages use all 32 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 32 / 32 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): 2026-10-22T01:06:09.281540+00:00 — 2026-11-02T06:59:48.242238+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: 7 · Annual history coverage 32/322018 · All selected publications · OpenAlex · Citations received by year: 12 · Annual history coverage 32/322019 · All selected publications · OpenAlex · Citations received by year: 33 · Annual history coverage 32/322020 · All selected publications · OpenAlex · Citations received by year: 23 · Annual history coverage 32/322021 · All selected publications · OpenAlex · Citations received by year: 45 · Annual history coverage 32/322022 · All selected publications · OpenAlex · Citations received by year: 20 · Annual history coverage 32/322023 · All selected publications · OpenAlex · Citations received by year: 26 · Annual history coverage 32/322024 · All selected publications · OpenAlex · Citations received by year: 35 · Annual history coverage 32/322025 · All selected publications · OpenAlex · Citations received by year: 22 · Annual history coverage 32/322026 · All selected publications · OpenAlex · Citations received by year: 14 · Annual history coverage 32/32 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications73232/32
2018All selected publications123232/32
2019All selected publications333232/32
2020All selected publications233232/32
2021All selected publications453232/32
2022All selected publications203232/32
2023All selected publications263232/32
2024All selected publications353232/32
2025All selected publications223232/32
2026All selected publications143232/32

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.

Mean3.72
Median2.0
No citations71–5206–20321+2Unknown0

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
826318/83.251.587.58/8 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
249321224/243.882.075.024/24 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 32 →

Most cited · Crossref

JOURNAL ARTICLE

The Role of Social Media in Crisis Communication and Crisis Management

Mustafa Emre Civelek · Murat Cemberci · Necati Erdem Eralp

International Journal of Research in Business and Social Science · 2016

Read abstract

Social media and social media tools have improved rapidly and started to influence society especially in recent years. This influence has forced businesses to revolutionize their communication with the external environment. The fact that Web 2.0 has an influence on consumer behavior, and that it makes the consumers stronger; requires faster, more flexible and more sensitive communication processes in businesses. Especially during a time of crisis, a business’ communication with the external environment is quite critical. For this reason, the way how the crisis communication is managed through social media is vital for businesses. In this article, the perceptions of how to manage businesses during a time of crisis so that they make minimum loss, is shared.

DOI 10.20525/ijrbs.v5i3.27927 Crossref citations55 OpenAlex citations
JOURNAL ARTICLE

The Impact of Brands on Consumer Buying Behavior

Ulas Akkucuk · Javed Esmaeili

International Journal of Research in Business and Social Science · 2016

Read abstract

The aim of this research is to understand the factors behind smartphone purchase decisions of consumers. Nowadays companies make use of various strategies in order to attract new customers, retain existing customers and differentiate their products from those of their competitors. Perhaps, the most important and effective strategy to influence consumer behavior in the product selection is emphasizing the “brand name” of the products. Our aim in this paper is to investigate how smartphone brands can influence consumers’ buying decisions. Brand equity is a set of brand assets and liabilities linked to a brand name and symbol, which add to or subtract from the value provided by a product or service. It enhances the customer’s ability to interpret and process information, improves confidence in the purchase decision and affects the quality of the user experience. Using this construct widely discussed in the literature, we use and build our hypothesis based on Aaker model about the brand equity, including perceived quality, brand awareness, brand association and brand loyalty. The study involved a questionnaire administered to 171 smartphone consumers between December 2015 and March 2016. The consumers were chosen by convenience sampling among the students from a prestigious university in the Istanbul district of Turkey. Our findings indicate that a majority of the smartphone buyers’ decisions are mainly influenced by brand loyalty and brand awareness. Perceived quality and brand association do not seem to influence purchase decisions for the sample of this study.

DOI 10.20525/ijrbs.v5i4.55121 Crossref citations51 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

Identifying the Determinants of Interest Rate Risk of the Banks

Serhat Yuksel · Sinemis Zengin

International Journal of Research in Business and Social Science · 2016

Read abstract

In this study, we aimed to explain the influencing factors of interest rate risk in Turkish banking sector. Within this scope, 20 deposit banks in Turkey were evaluated. Furthermore, annual data for the periods between 2006 and 2015 was analyzed by using panel logit method. According to the results of this analysis, it was identified that 2 explanatory variables affect interest rate risk of Turkish banks. First of all, it was determined that banks, which have higher amount of deposits, are exposed to higher amount of interest rate risk. In addition to this situation, it was also defined that there is a negative relationship between the amount of capital and interest rate risk. As a result of this issue, it was recommended that Turkish banks should increase capital amount in order to manage interest rate risk more effectively.

DOI 10.20525/ijrbs.v5i6.56910 Crossref citations17 OpenAlex citations
JOURNAL ARTICLE

The Relationship between Trade Openness and Inflation in Turkey

Rana Atabay

International Journal of Research in Business and Social Science · 2016

Read abstract

Both in Turkey and in the world in 1980 was a year of major structural transformations. Globalization has been accelerated in this time and countries have implemented some liberal policies for opening borders to foreign capital. Economies began to be led by export-oriented industrialization and liberalization policies after 1980 and these policies continue since then. Turkey is one of these countries that began liberalization after 1980. While decreasing trade barriers exerts a downward pressure on prices trade liberalization represents a structural break. This study aims to examine the relationship between trade openness and inflation over the period 1980-2011 for Turkey by using OLS method. The proportion of foreign trade volume (exports plus imports) to GDP and real exchange rates are used as measures of trade openness besides inflation rate. As a result of the study, it has been determined that there was a negative correlation between trade openness and inflation rate for the dedicated years in Turkey. The effects of crisis and election years in Turkey have been also tested and found statistically insignificant.

DOI 10.20525/ijrbs.v5i3.4646 Crossref citations9 OpenAlex citations

Selected results

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

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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
JOURNAL ARTICLE

Providing an Efficient Organization Structure and Company Culture by Embedding Group Dynamic Consciousness

Mehmet Saim Asci

International Journal of Research in Business and Social Science · 2016

Read abstract

As being a psychosocial creature, the human composing the organization has series of behavioral talents like feeling, idea, desire, ambition, hope and fear. Humans, besides their technical abilities, bring their hopes and concerns, their life philosophy, all exclusive behaviors with them to organizations where they belive they realize their porsonel hopes and desires and establish cooperation. As aresult, established organization has social, human structural property including different personal ideas and behaviors. It was understood that, humans in the organization do not always behave according to rules, which were set by management, and the economical human logic. Human behave in accordance with their emotions and feeling. Because organizations can not satisfy all needs of humans by assigning formal tasks and physical facilities. As a result of these complex reasons generally the members of the organizations, which are established to perform certain official tasks, establish unofficial organizations by developing relations among themselves in order to satisfy their personal needs and feelings. In this study, accepting the value and importance of the official organization, it is desired to tell that unofficial organization is real and important at least the official organization. Becouse at the same time organizations are feelings system, it is beneficial to determine the role of the human in the organization and to regulate the organizationto this fact.

DOI 10.20525/ijrbs.v5i6.6230 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Identifying the Determinants of Interest Rate Risk of the Banks

Serhat Yuksel · Sinemis Zengin

International Journal of Research in Business and Social Science · 2016

Read abstract

In this study, we aimed to explain the influencing factors of interest rate risk in Turkish banking sector. Within this scope, 20 deposit banks in Turkey were evaluated. Furthermore, annual data for the periods between 2006 and 2015 was analyzed by using panel logit method. According to the results of this analysis, it was identified that 2 explanatory variables affect interest rate risk of Turkish banks. First of all, it was determined that banks, which have higher amount of deposits, are exposed to higher amount of interest rate risk. In addition to this situation, it was also defined that there is a negative relationship between the amount of capital and interest rate risk. As a result of this issue, it was recommended that Turkish banks should increase capital amount in order to manage interest rate risk more effectively.

DOI 10.20525/ijrbs.v5i6.56910 Crossref citations17 OpenAlex citations
JOURNAL ARTICLE

The Effect of Brand Trust and Brand Loyalty on Consumer Purchase Intention: The Study in The Smartphone Market

Busra Cecen Saglam · Mehmet Saglam

International Journal of Research in Business and Social Science · 2016

Read abstract

This research aims to analyze the effect of brand trust and brand loyalty to consumer purchase intentions in the Smartphone market. All the residents of ?stanbul who use mobile phones are the population of the research.  Due to the fact that it is very hard to reach all the population, simple sampling method has been used for data collection and 185 participants have been reached. Structural Equation Model has been used to explain the relationship among brand trust, brand loyalty and purchase intentions. SPSS for Windows 17.0 program and AMOS 20 program are used to analyze the data. Results show that both brand trust and brand loyalty have a positive effect on consumer’s purchase intentions. Also it had been determined that brand trust has a positive effect on brand loyalty. Moreover, brand trust has been found as the most effective factor for smartphones brands in the purchase intensions.

DOI 10.20525/ijrbs.v5i5.5902 Crossref citations2 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

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