CiteNScope — Scholarly Index & Analytics
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Explore the evidence.
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Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 5/5 recordsLast OpenAlex observation 22 Oct 2026, 03:16 UTC
PUBLICATIONS5In the selected collection
CROSSREF CITATIONS125/5 with known counts
OPENALEX CITATIONS185/5 with known counts
OPENALEX MEAN3.6Per article with a known count
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topic: Monetary Policy and Economic Impact Remove ×
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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.

Full distributions & methodology ↓

Institutions

University of the Witwatersrand2Ekiti State University1Universitas Airlangga15/5 records with data

Countries

Nigeria2South Africa2Australia15/5 records with data

Primary topics

Monetary Policy and Economic Impact55/5 records with data
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.

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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: 5/5 articles. Latest history observation: 2026-10-22T03:16:41.746850+00:00. Source totals are never added together.
Research side by side

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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 StudiesInternational Journal of Research in Business and Social Science

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 analytics report All distributions, publications, comparisons & data provenance
5 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS5
CROSSREF CITATIONS12
CROSSREF · CITED PUBLICATIONS80.0%
CROSSREF · MEAN CITATIONS2.4

Crossref citation coverage: 5 / 5 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 CITATIONS18
DOI MATCH COVERAGE100.0%5 / 5 publications
MEAN · KNOWN COUNTS ONLY3.65 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY2

Observation range: 22 Oct 2026 00:26 UTC — 22 Oct 2026 03:16 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–546–20121+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

5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.

Countries

5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.

Primary topics

5 / 5 with data · 0 missing or unmatched. Percentages use all 5 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 5 / 5 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): 2026-10-22T00:26:51.629360+00:00 — 2026-10-22T03:16:41.746850+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

42.00 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 5/52021 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 5/52022 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 5/52023 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 5/52024 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 5/52025 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 5/52026 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 5/5 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications055/5
2018All selected publications055/5
2019All selected publications055/5
2020All selected publications055/5
2021All selected publications355/5
2022All selected publications155/5
2023All selected publications355/5
2024All selected publications355/5
2025All selected publications455/5
2026All selected publications455/5

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.

Mean2.4
Median2
No citations11–536–20121+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
3343/31.0166.73/3 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
29142/24.54.5100.02/2 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 5 →

Most cited · Crossref

JOURNAL ARTICLE

The convergence of financial sector in Asia

Maria Pinita Angelia · Rudi Purwono

International Journal of Research in Business and Social Science · 2021

Read abstract

This study aims to identify the convergence of financial sector development and the effect of macroeconomic variables on each financial sector development indicator in Asia. The sample used consists of 24 countries in Asia during the period 2010-2018. Identification of convergence using ?-convergence absolute and conditional. Indicators are used to represent the development of the financial sector namely private credit, liquid liabilities, stock market capitalization, and stock market turnover. Empirical evidence was based on the Generalized Method of Moment (GMM) estimation technique. The results showed that there was convergence in Asia and that macroeconomic variables had a significant effect on the development of the financial sector.

DOI 10.20525/ijrbs.v10i6.13196 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

What is the impact of financial depth on economic growth within middle income countries?

Abdulaleem Isiaka · Abdulqudus Isiaka · Abdulqadir Isiaka · Omotomiwa Adenubi

International Journal of Research in Business and Social Science · 2021

Read abstract

 This paper utilizes the Least Squares Dummy Variables (LSDV) technique in investigating the effect of financial depth on economic growth within a sample of middle-income countries, over the period 2005–2017. The research finds that financial depth has a negative impact on real GDP growth within middle-income countries. This result is robust to the use of alternative measures of financial depth, the use of per capita GDP growth as a proxy for economic growth, the inclusion of dummy variables to control for the 2007–2010 global financial crisis, the exclusion of countries with high average growth as well as across income levels. Based on its findings, this study recommends the need for robust regulations to ensure that the credit facilities of domestic financial institutions are channeled towards productive investments rather than debt servicing.

DOI 10.20525/ijrbs.v10i1.10073 Crossref citations9 OpenAlex citations
JOURNAL ARTICLE

Causality Analysis of South Africa Reserve Bank’s Monetary Policy Statements and Communication

Arnold Segawa

International Journal of Finance & Banking Studies · 2021

Read abstract

This paper inspects whether the South Africa Reserve Bank’s (SARB) Monetary Policy Committee (MPC) statements trigger have a causality with newspaper reports from the Mail and Guardian between 2010 and 2021. The study examines whether SARB’s post MPC statements’ readability is reciprocated in the subsequent Mail and Guardian newspaper articles. Using the Flesch Reading Ease Score and Flesch-Kincaid Grade Level score as the methodology, there is a systematic unpacking of both SARB’s MPC statements and newspaper reports from the Mail and Guardian which yield a dataset which is subsequently used to create a computation. This computation is then used to examine whether SARB’s MPC statements Granger cause the subsequent Mail and Guardian newspaper articles. Resultantly, the results show that there is no Granger causality between the SARB’s MPC statements and the Mail and Guardian’s Flesch Reading Ease Score and Flesch-Kincaid Grade Level score.

DOI 10.20525/ijfbs.v10i4.14182 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Sentimental Outlook for the Monetary Policies of South African Reserve Bank

Arnold Segawa

International Journal of Finance & Banking Studies · 2021

Read abstract

The South African Reserve Bank (SARB) migrated to inflation targeting in 2000 and has since embarked on a trajectory of transparency. This has taken the shape of releasing Monetary Policy Committee (MPC) statements other forms of communication. This paper examines SARB’s MPC statements’ tone and sentiment between 2000 and 2021 using the Besigye-Segawa’s TextBlob polarity and subjectivity calculator which measures central bank communication tone and sentiment using the Loughran-McDonald dictionary’s word classification to gauge polarity and subjectivity. The study goes on to explore causality of SARB’s MPC statements’ tone and sentiment on inflation expectation results from the Bureau of Economic (BER) results survey. The systematic analysis shows a causality of SARB’s MPC statements’ tone and sentiment on succeeding BER’s inflation expectations results therein justifying the need for effective communication as SARB’s MPC communications’ polarity and subjectivity ultimately have a causal effect on inflation expectations. therein justifying the need for effective communication. As central bank tone and sentiment studies are only emerging in many emerging and frontier markets, this study lays a foundation for future exploration of effects of central bank communication on the expectations channel.

DOI 10.20525/ijfbs.v10i3.12981 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

Financial System Stability and Manufacturing Performance in Nigeria

Mojeed Olanrewaju Saliu

International Journal of Finance & Banking Studies · 2021

Read abstract

This study investigates the relationship between the three measures of manufacturing performance [manufacturing production growth rate (MPGR), share of manufacturing in GDP (SMGDP), capacity utilization rate (CUR)] and the variables of financial system stability [exchange rate (EXR), fiscal deficit (FD), lending rate (LR), saving rate (SR), consumer price index (CPI), bank loan to manufacturing sector (BLM)]. The study uses Johansen cointegration and Parsimonious error correction model as the estimation techniques. Findings from the results of the study reveals that there is a long-run relationship between the three measures of manufacturing performance (i.e. MPGR, SMGDP and CUR) and the variables of financial system stability in Nigeria during the period under review. Also, consumer price index (CPI) and lending rate (LR) have negative and significant impacts on manufacturing production growth rate (MPGR) in Nigeria. In addition, fiscal deficit (FD) and lending rate (LR) have significant and negative effect on share of manufacturing in GDP (SMGDP). Lastly, banks loan to manufacturing sector (BLM) has significant negative effect on capacity utilization rate (CUR) while exchange rate (EXR) has positive and significant impact on capacity utilization rate (CUR).

DOI 10.20525/ijfbs.v10i1.11880 Crossref citations1 OpenAlex citations

Selected results

JOURNAL ARTICLE

Causality Analysis of South Africa Reserve Bank’s Monetary Policy Statements and Communication

Arnold Segawa

International Journal of Finance & Banking Studies · 2021

Read abstract

This paper inspects whether the South Africa Reserve Bank’s (SARB) Monetary Policy Committee (MPC) statements trigger have a causality with newspaper reports from the Mail and Guardian between 2010 and 2021. The study examines whether SARB’s post MPC statements’ readability is reciprocated in the subsequent Mail and Guardian newspaper articles. Using the Flesch Reading Ease Score and Flesch-Kincaid Grade Level score as the methodology, there is a systematic unpacking of both SARB’s MPC statements and newspaper reports from the Mail and Guardian which yield a dataset which is subsequently used to create a computation. This computation is then used to examine whether SARB’s MPC statements Granger cause the subsequent Mail and Guardian newspaper articles. Resultantly, the results show that there is no Granger causality between the SARB’s MPC statements and the Mail and Guardian’s Flesch Reading Ease Score and Flesch-Kincaid Grade Level score.

DOI 10.20525/ijfbs.v10i4.14182 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

The convergence of financial sector in Asia

Maria Pinita Angelia · Rudi Purwono

International Journal of Research in Business and Social Science · 2021

Read abstract

This study aims to identify the convergence of financial sector development and the effect of macroeconomic variables on each financial sector development indicator in Asia. The sample used consists of 24 countries in Asia during the period 2010-2018. Identification of convergence using ?-convergence absolute and conditional. Indicators are used to represent the development of the financial sector namely private credit, liquid liabilities, stock market capitalization, and stock market turnover. Empirical evidence was based on the Generalized Method of Moment (GMM) estimation technique. The results showed that there was convergence in Asia and that macroeconomic variables had a significant effect on the development of the financial sector.

DOI 10.20525/ijrbs.v10i6.13196 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

Sentimental Outlook for the Monetary Policies of South African Reserve Bank

Arnold Segawa

International Journal of Finance & Banking Studies · 2021

Read abstract

The South African Reserve Bank (SARB) migrated to inflation targeting in 2000 and has since embarked on a trajectory of transparency. This has taken the shape of releasing Monetary Policy Committee (MPC) statements other forms of communication. This paper examines SARB’s MPC statements’ tone and sentiment between 2000 and 2021 using the Besigye-Segawa’s TextBlob polarity and subjectivity calculator which measures central bank communication tone and sentiment using the Loughran-McDonald dictionary’s word classification to gauge polarity and subjectivity. The study goes on to explore causality of SARB’s MPC statements’ tone and sentiment on inflation expectation results from the Bureau of Economic (BER) results survey. The systematic analysis shows a causality of SARB’s MPC statements’ tone and sentiment on succeeding BER’s inflation expectations results therein justifying the need for effective communication as SARB’s MPC communications’ polarity and subjectivity ultimately have a causal effect on inflation expectations. therein justifying the need for effective communication. As central bank tone and sentiment studies are only emerging in many emerging and frontier markets, this study lays a foundation for future exploration of effects of central bank communication on the expectations channel.

DOI 10.20525/ijfbs.v10i3.12981 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

Financial System Stability and Manufacturing Performance in Nigeria

Mojeed Olanrewaju Saliu

International Journal of Finance & Banking Studies · 2021

Read abstract

This study investigates the relationship between the three measures of manufacturing performance [manufacturing production growth rate (MPGR), share of manufacturing in GDP (SMGDP), capacity utilization rate (CUR)] and the variables of financial system stability [exchange rate (EXR), fiscal deficit (FD), lending rate (LR), saving rate (SR), consumer price index (CPI), bank loan to manufacturing sector (BLM)]. The study uses Johansen cointegration and Parsimonious error correction model as the estimation techniques. Findings from the results of the study reveals that there is a long-run relationship between the three measures of manufacturing performance (i.e. MPGR, SMGDP and CUR) and the variables of financial system stability in Nigeria during the period under review. Also, consumer price index (CPI) and lending rate (LR) have negative and significant impacts on manufacturing production growth rate (MPGR) in Nigeria. In addition, fiscal deficit (FD) and lending rate (LR) have significant and negative effect on share of manufacturing in GDP (SMGDP). Lastly, banks loan to manufacturing sector (BLM) has significant negative effect on capacity utilization rate (CUR) while exchange rate (EXR) has positive and significant impact on capacity utilization rate (CUR).

DOI 10.20525/ijfbs.v10i1.11880 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

What is the impact of financial depth on economic growth within middle income countries?

Abdulaleem Isiaka · Abdulqudus Isiaka · Abdulqadir Isiaka · Omotomiwa Adenubi

International Journal of Research in Business and Social Science · 2021

Read abstract

 This paper utilizes the Least Squares Dummy Variables (LSDV) technique in investigating the effect of financial depth on economic growth within a sample of middle-income countries, over the period 2005–2017. The research finds that financial depth has a negative impact on real GDP growth within middle-income countries. This result is robust to the use of alternative measures of financial depth, the use of per capita GDP growth as a proxy for economic growth, the inclusion of dummy variables to control for the 2007–2010 global financial crisis, the exclusion of countries with high average growth as well as across income levels. Based on its findings, this study recommends the need for robust regulations to ensure that the credit facilities of domestic financial institutions are channeled towards productive investments rather than debt servicing.

DOI 10.20525/ijrbs.v10i1.10073 Crossref citations9 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 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:56 UTC · ijfbscomplete · ijfbs · 20 Oct 2026 19:55 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
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