CiteNScope — Scholarly Index & Analytics
Journals / IJFBS RESEARCH PROFILE

International Journal of Finance & Banking Studies

ISSN 2147-4486 • Journal website ↗

Compare journals ↗
OpenAlex coverage 100.0% · 4/4 recordsLast OpenAlex observation 29 Oct 2026, 17:09 UTC
PUBLICATIONS4In the selected collection
CROSSREF CITATIONS1454/4 with known counts
OPENALEX CITATIONS3044/4 with known counts
OPENALEX MEAN76.0Per article with a known count
Explore articles 4 →
Filter collection Publication years, search & more
Reset
Research in focus

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. Profit Growth : Impact of Net Profit Margin, Gross Profit Margin and Total Assests Turnover

    2020 · Talitha Nathaniela Nariswari · Nugi Mohammad Nugraha

    46Crossref citations
  2. 38Crossref citations
  3. The Impact of Inflation on Economic Growth

    2019 · Nexhat Kryeziu · Esat Ali Durguti

    32Crossref citations
  4. CAMELS-based Determinants for the Credit Rating of Turkish Deposit Banks

    2015 · Serhat Yuksel · Hasan Dincer · Umit Hacioglu

    29Crossref citations
The journal at a glance

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.

View data & coverage

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.

View data & coverage
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.

View data & coverage

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: 4/4 articles. Latest history observation: 2026-10-29T17:09:14.189163+00:00. Source totals are never added together.
Research side by side

Compare journals

Compare across all journals →

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 Studies

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 research profile All distributions, publications, comparisons & data provenance
4 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS4
CROSSREF CITATIONS145
CROSSREF · CITED PUBLICATIONS100.0%
CROSSREF · MEAN CITATIONS36.25

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 CITATIONS304
DOI MATCH COVERAGE100.0%4 / 4 publications
MEAN · KNOWN COUNTS ONLY76.04 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY77.0

Observation range: 28 Oct 2026 21:06 UTC — 29 Oct 2026 17:09 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–506–20021+4Unknown0

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): 2026-10-28T21:06:56.619872+00:00 — 2026-10-29T17:09:14.189163+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

4924.50 2017 · All selected publications · OpenAlex · Citations received by year: 8 · Annual history coverage 4/42018 · All selected publications · OpenAlex · Citations received by year: 14 · Annual history coverage 4/42019 · All selected publications · OpenAlex · Citations received by year: 20 · Annual history coverage 4/42020 · All selected publications · OpenAlex · Citations received by year: 25 · Annual history coverage 4/42021 · All selected publications · OpenAlex · Citations received by year: 42 · Annual history coverage 4/42022 · All selected publications · OpenAlex · Citations received by year: 47 · Annual history coverage 4/42023 · All selected publications · OpenAlex · Citations received by year: 46 · Annual history coverage 4/42024 · All selected publications · OpenAlex · Citations received by year: 49 · Annual history coverage 4/42025 · All selected publications · OpenAlex · Citations received by year: 37 · Annual history coverage 4/42026 · All selected publications · OpenAlex · Citations received by year: 12 · 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 publications844/4
2018All selected publications1444/4
2019All selected publications2044/4
2020All selected publications2544/4
2021All selected publications4244/4
2022All selected publications4744/4
2023All selected publications4644/4
2024All selected publications4944/4
2025All selected publications3744/4
2026All selected publications1244/4

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.

Mean36.25
Median35.0
No citations01–506–20021+4Unknown0

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
41453044/436.2535.0100.04/4 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 4 →

Most cited · Crossref

JOURNAL ARTICLE

Profit Growth : Impact of Net Profit Margin, Gross Profit Margin and Total Assests Turnover

Talitha Nathaniela Nariswari · Nugi Mohammad Nugraha

International Journal of Finance & Banking Studies · 2020

Read abstract

As an industry that has an important role for other industrial sectors, the plastic and packaging industry is the supply chain for consumer products. Behind the high industrial growth and the potential is still large, there are problems with plastic waste, consumption power, and changes in people's lifestyles that can affect the growth of the plastic and packaging industry. This study aims to determine how much impact the NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) on Profit Growth in the plastic and packaging industry sub-sector companies listed in IDX (Indonesia Stock Exchange) for the period 2014 to 2018. The method used in this study is a quantitative descriptive. The sampling technique used was purposive sampling in order to obtain a sample of 11 companies from a population of 12 companies. In the study the method of data analysis used the multiple linear regression analysis techniques by processing data using Eviews 8, because the data is not normally distributed, it uses the log transformation method. The results showed that simultaneously NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) had a significant effect on profit growth. And partially NPM (Net Profit Margin) has a significant effect on profit growth, while GPM (Gross Profit Margin) and TAT (Total Assets Turnover) have no significant effect on profit growth.

DOI 10.20525/ijfbs.v9i4.93746 Crossref citations96 OpenAlex citations
JOURNAL ARTICLE

Bank Specific and Macroeconomic Determinants of Commercial Bank Profitability: Empirical Evidence from Nigeria

Oluwaseyi Ebenezer Olalere · Wan Ahmad Bin Omar · Syahida Kamil

International Journal of Finance & Banking Studies · 2017

Read abstract

The study examines the bank-specific and macroeconomic determinants of banks profitability in Nigeria analyzing audited financial reports of selected sixteen (16) commercial banks over the period of 2010 to 2015 making up to 96 observations. The study identified that existing studies are sketchy in developing economies even though many studies have emerge in developed economies. The bank profitability is measured by return on assets and return on equity as function of bank-specific and macroeconomic determinants. Using the balanced panel data set, the empirical results of the study shows that capital adequacy and liquidity have a positive and significant effect on bank profitability. However, efficiency ratio have a negative and significant effect on bank profitability. With regards to macroeconomic variable, GDP growth also have a positive and significant impact on banks profitability. The empirical results of the study suggested that banks can improve their profitability through increasing capital and liquidity, decreasing operating cost with conscious effort to maintain transparency in their operations. In addition, a good economic environment for financial institutions foster increase in bank profitability. Hence, the study recommends that further studies can expand the scope while extending to other industries as well.

DOI 10.20525/ijfbs.v6i1.62738 Crossref citations86 OpenAlex citations
JOURNAL ARTICLE

The Impact of Inflation on Economic Growth

Nexhat Kryeziu · Esat Ali Durguti

International Journal of Finance & Banking Studies · 2019

Read abstract

The main purpose of this study is to investigate inflation rate and its impact on the growth rate or to GDP growth for Eurozone countries, using panel data for the period 1997-2017, on an annual basis with a total of 257 observations. For conducting the study, and achieving results, a multiple linear regression model with the least squares regression is used. Moreover, multiple linear regression analysis has been applied in order to investigate whether Inflation rate, as an independent variable, has any significant impact on economic growth. Consequently, in order to test the data used in the model we have applied diagnostic tests, such as Durbin-Watson test to analyze the correlation of serial correlation, as well as the Breusch-Pagan test for heteroskedasticity. The tests’ results give us strong indications that the model has no relation between of serial correlation and there is no heteroskedasticity either. The study conducted shows results generated from the model, and according to the econometric results indicate that Inflation rate has positive impact on the economic growth rate for euro area.

DOI 10.20525/ijfbs.v8i1.29732 Crossref citations54 OpenAlex citations
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

Read abstract

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

Selected results

JOURNAL ARTICLE

Profit Growth : Impact of Net Profit Margin, Gross Profit Margin and Total Assests Turnover

Talitha Nathaniela Nariswari · Nugi Mohammad Nugraha

International Journal of Finance & Banking Studies · 2020

Read abstract

As an industry that has an important role for other industrial sectors, the plastic and packaging industry is the supply chain for consumer products. Behind the high industrial growth and the potential is still large, there are problems with plastic waste, consumption power, and changes in people's lifestyles that can affect the growth of the plastic and packaging industry. This study aims to determine how much impact the NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) on Profit Growth in the plastic and packaging industry sub-sector companies listed in IDX (Indonesia Stock Exchange) for the period 2014 to 2018. The method used in this study is a quantitative descriptive. The sampling technique used was purposive sampling in order to obtain a sample of 11 companies from a population of 12 companies. In the study the method of data analysis used the multiple linear regression analysis techniques by processing data using Eviews 8, because the data is not normally distributed, it uses the log transformation method. The results showed that simultaneously NPM (Net Profit Margin), GPM (Gross Profit Margin), TAT (Total Assets Turnover) had a significant effect on profit growth. And partially NPM (Net Profit Margin) has a significant effect on profit growth, while GPM (Gross Profit Margin) and TAT (Total Assets Turnover) have no significant effect on profit growth.

DOI 10.20525/ijfbs.v9i4.93746 Crossref citations96 OpenAlex citations
JOURNAL ARTICLE

The Impact of Inflation on Economic Growth

Nexhat Kryeziu · Esat Ali Durguti

International Journal of Finance & Banking Studies · 2019

Read abstract

The main purpose of this study is to investigate inflation rate and its impact on the growth rate or to GDP growth for Eurozone countries, using panel data for the period 1997-2017, on an annual basis with a total of 257 observations. For conducting the study, and achieving results, a multiple linear regression model with the least squares regression is used. Moreover, multiple linear regression analysis has been applied in order to investigate whether Inflation rate, as an independent variable, has any significant impact on economic growth. Consequently, in order to test the data used in the model we have applied diagnostic tests, such as Durbin-Watson test to analyze the correlation of serial correlation, as well as the Breusch-Pagan test for heteroskedasticity. The tests’ results give us strong indications that the model has no relation between of serial correlation and there is no heteroskedasticity either. The study conducted shows results generated from the model, and according to the econometric results indicate that Inflation rate has positive impact on the economic growth rate for euro area.

DOI 10.20525/ijfbs.v8i1.29732 Crossref citations54 OpenAlex citations
JOURNAL ARTICLE

Bank Specific and Macroeconomic Determinants of Commercial Bank Profitability: Empirical Evidence from Nigeria

Oluwaseyi Ebenezer Olalere · Wan Ahmad Bin Omar · Syahida Kamil

International Journal of Finance & Banking Studies · 2017

Read abstract

The study examines the bank-specific and macroeconomic determinants of banks profitability in Nigeria analyzing audited financial reports of selected sixteen (16) commercial banks over the period of 2010 to 2015 making up to 96 observations. The study identified that existing studies are sketchy in developing economies even though many studies have emerge in developed economies. The bank profitability is measured by return on assets and return on equity as function of bank-specific and macroeconomic determinants. Using the balanced panel data set, the empirical results of the study shows that capital adequacy and liquidity have a positive and significant effect on bank profitability. However, efficiency ratio have a negative and significant effect on bank profitability. With regards to macroeconomic variable, GDP growth also have a positive and significant impact on banks profitability. The empirical results of the study suggested that banks can improve their profitability through increasing capital and liquidity, decreasing operating cost with conscious effort to maintain transparency in their operations. In addition, a good economic environment for financial institutions foster increase in bank profitability. Hence, the study recommends that further studies can expand the scope while extending to other industries as well.

DOI 10.20525/ijfbs.v6i1.62738 Crossref citations86 OpenAlex citations
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

Read abstract

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

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
Full import history & methodology →