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: 4 / 4 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 01:58 UTC — 22 Oct 2026 03:31 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.
3 / 4 with data · 1 missing or unmatched. Percentages use all 4 selected publications.
3 / 4 with data · 1 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 |
|---|---|---|---|---|---|
| 2015 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2015 | All selected publications | 6 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2015 | All selected publications | 32 | 4 | 4/4 | 4/4 |
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): 2026-10-22T01:58:00.804158+00:00 — 2026-10-22T03:31:14.033114+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 | 2 | 4 | 4/4 |
| 2018 | All selected publications | 3 | 4 | 4/4 |
| 2019 | All selected publications | 2 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 2 | 4 | 4/4 |
| 2022 | All selected publications | 0 | 4 | 4/4 |
| 2023 | All selected publications | 1 | 4 | 4/4 |
| 2024 | All selected publications | 3 | 4 | 4/4 |
| 2025 | All selected publications | 3 | 4 | 4/4 |
| 2026 | All selected publications | 0 | 4 | 4/4 |
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 ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2015 | 4 |
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 | 1 | 1 | 21 | 1/1 | 1.0 | 1 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 3 | 5 | 11 | 3/3 | 1.67 | 2 | 66.7 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
This study empirically investigates the causal relationship between construction production and GDP for Turkey during 2005Q1-2013Q4 period. Because it is found that, there is no cointegration which means there is no long run relationship between variables, VAR Granger Causality Method is used to test the causality in short run. The findings reveal that, the causality runs from GDP to Building Production and Building Production to Non-Building Production (i.e. bidirectional relationship). Findings of this paper suggest that, because there is no long run relationship between Construction Production (Building and Non-Building) and GDP and also in short run the causality runs from GDP to Construction Production, the growth strategy based on mainly Construction Sector growth is not a good idea for Turkey.
This paper analyzes the determinants of domestic private investment in Pakistan using long time series data for the period 1982 to 2012. The conventional variable such as output is not significant in explaining the domestic private investment but the interest rate has significant negative effect on private investment in the long run. The results of the study confirm the validity of crowding in hypothesis and debt overhang hypothesis for Pakistan. This study did not find any support for Mackinnon-Shaw hypothesis. The improvement in law and order condition and existence of democratic political regime in the country has significant positive effect on domestic private investment in the long run. The focus on non-conventional variables could restore investors’ confidence and may result in the recovery of domestic private investment in the country.
The Great Financial Crisis has been touted to be the worst crisis since the Great Depression of 1930; its effect has profound ramifications on the global economy. The nature and the severity of the crisis provoked an unprecedented policy response from policy makers at both global and domestic levels. To address the rampaging crisis, the Bank of England implemented a number of conventional and unconventional policy measures to curtail the economic rot and to stimulate economic growth. There is a broad consensus in the empirical literature and other evidence found in this paper that a number of the policies implemented in the United Kingdom played a significant role in re-directing and stimulating the economy. This paper reviews the various policy measures adopted by the Bank of England from the inception of the financial crisis in 2008 and assesses their effectiveness in bringing back the economy from the brink of collapse. Our review shows that quantitative easing (QE) policy and the expansionary fiscal policy adopted by the Bank of England were effective policy tools used in stimulating economic growth, stemming the effect and shortening the duration of the crisis in the United Kingdom
This paper attempts to empirically examine the Reverse Causality hypothesis within the Nigerian context during the period 1980 – 2011. Employing Vector Error Correction Methodology (VECM), causality was found between inflation and government stocks, with causality running from government stocks to inflation, thus providing evidence in support of the reverse causality hypothesis. The results from the forecast error variance decomposition (FEVD) and impulse response functions tend to further lend credence to this finding. Accordingly, this study suggests, in part, the need for a tight monetary policy which would help to reduce inflation and stock prices, as such measures would leave the individuals with less money to buy stocks. Such efforts should be complemented by augmenting domestic production and encouraging investment through inexpensive bank finance.
The Great Financial Crisis has been touted to be the worst crisis since the Great Depression of 1930; its effect has profound ramifications on the global economy. The nature and the severity of the crisis provoked an unprecedented policy response from policy makers at both global and domestic levels. To address the rampaging crisis, the Bank of England implemented a number of conventional and unconventional policy measures to curtail the economic rot and to stimulate economic growth. There is a broad consensus in the empirical literature and other evidence found in this paper that a number of the policies implemented in the United Kingdom played a significant role in re-directing and stimulating the economy. This paper reviews the various policy measures adopted by the Bank of England from the inception of the financial crisis in 2008 and assesses their effectiveness in bringing back the economy from the brink of collapse. Our review shows that quantitative easing (QE) policy and the expansionary fiscal policy adopted by the Bank of England were effective policy tools used in stimulating economic growth, stemming the effect and shortening the duration of the crisis in the United Kingdom
This paper analyzes the determinants of domestic private investment in Pakistan using long time series data for the period 1982 to 2012. The conventional variable such as output is not significant in explaining the domestic private investment but the interest rate has significant negative effect on private investment in the long run. The results of the study confirm the validity of crowding in hypothesis and debt overhang hypothesis for Pakistan. This study did not find any support for Mackinnon-Shaw hypothesis. The improvement in law and order condition and existence of democratic political regime in the country has significant positive effect on domestic private investment in the long run. The focus on non-conventional variables could restore investors’ confidence and may result in the recovery of domestic private investment in the country.
This study empirically investigates the causal relationship between construction production and GDP for Turkey during 2005Q1-2013Q4 period. Because it is found that, there is no cointegration which means there is no long run relationship between variables, VAR Granger Causality Method is used to test the causality in short run. The findings reveal that, the causality runs from GDP to Building Production and Building Production to Non-Building Production (i.e. bidirectional relationship). Findings of this paper suggest that, because there is no long run relationship between Construction Production (Building and Non-Building) and GDP and also in short run the causality runs from GDP to Construction Production, the growth strategy based on mainly Construction Sector growth is not a good idea for Turkey.
This paper attempts to empirically examine the Reverse Causality hypothesis within the Nigerian context during the period 1980 – 2011. Employing Vector Error Correction Methodology (VECM), causality was found between inflation and government stocks, with causality running from government stocks to inflation, thus providing evidence in support of the reverse causality hypothesis. The results from the forecast error variance decomposition (FEVD) and impulse response functions tend to further lend credence to this finding. Accordingly, this study suggests, in part, the need for a tight monetary policy which would help to reduce inflation and stock prices, as such measures would leave the individuals with less money to buy stocks. Such efforts should be complemented by augmenting domestic production and encouraging investment through inexpensive bank finance.
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 |