Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
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.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
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.
OpenAlex · incoming citation links grouped by citing-work year
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.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
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.
Crossref citation coverage: 5 / 5 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
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 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.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
5 / 5 with data · 0 missing or unmatched. Percentages use all 5 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 12 | 5 | 5/5 | 5/5 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 18 | 5 | 5/5 | 5/5 |
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.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 5 | 5/5 |
| 2018 | All selected publications | 0 | 5 | 5/5 |
| 2019 | All selected publications | 0 | 5 | 5/5 |
| 2020 | All selected publications | 0 | 5 | 5/5 |
| 2021 | All selected publications | 3 | 5 | 5/5 |
| 2022 | All selected publications | 1 | 5 | 5/5 |
| 2023 | All selected publications | 3 | 5 | 5/5 |
| 2024 | All selected publications | 3 | 5 | 5/5 |
| 2025 | All selected publications | 4 | 5 | 5/5 |
| 2026 | All selected publications | 4 | 5 | 5/5 |
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 ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2021 | 5 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Finance & Banking Studies SSBFNET | 3 | 3 | 4 | 3/3 | 1.0 | 1 | 66.7 | 3/3 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 9 | 14 | 2/2 | 4.5 | 4.5 | 100.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
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.
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.
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.
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.
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).
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.
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.
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.
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).
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.
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
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |