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: 21 Oct 2026 07:22 UTC — 23 Oct 2026 14:36 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.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 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 |
|---|---|---|---|---|---|
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2018 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2018 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2020 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
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): 2026-10-21T07:22:57.926126+00:00 — 2026-10-23T14:36:40.754554+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 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 0 | 4 | 4/4 |
| 2022 | All selected publications | 3 | 4 | 4/4 |
| 2023 | All selected publications | 1 | 4 | 4/4 |
| 2024 | All selected publications | 1 | 4 | 4/4 |
| 2025 | All selected publications | 0 | 4 | 4/4 |
| 2026 | All selected publications | 1 | 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 |
|---|---|
| 2018 | 1 |
| 2020 | 1 |
| 2024 | 1 |
| 2025 | 1 |
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 |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 1 | 1 | 1 | 1/1 | 1.0 | 1 | 100.0 | 1/1 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 2 | 5 | 2/2 | 1.0 | 1.0 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
It is observed that despite the legislative endorsement of the West Africa Countries there is still a glaring divergence in economic structures, which impedes the performance to realize macroeconomic convergence and economic growth within the region. This paper investigated the effects of trade and financial indexes in WAMZ on economic growth. The paper uses three variables and a host of control measures to focus on six countries of WAMZ covering the periods of 2001-2018. Given the heterogeneous nature of the information gathered for the study, the models are cast in static and dynamic panel frameworks that provided micro-structure for the combined data analysis. The models were tested with various econometric and statistical instruments. Results from the analysis show that exported trade is highly concentrated to fewer goods, while imported trade is concentrated on more products and partners; that is, countries in WAMZ tend to shadow liberal import policy. The weak link was also noticed among financial and trade indexes and economic growth in the WAMZ economies. The implications call for short term economic plans and policies in the WAMZ economies so as to collectively monitor economic policies and growth. We equally observed that the structures of the economies in the region are heterogeneous making it rather difficult for regional trade and financial indicators to accelerate output growth in the region. Thus our basic postulations are an inter-policy approach on social, political and economic (trade and finance) arrangements that would neutralize the heterogeneity and foster institutional and attitudinal reforms, eliminate insecurity challenges, and spur political stability and responsible leadership within the regions.
There has been increasing studies that details the transmission channels through which financial development permeates to speed up growth to higher echelon. Studies have underpinned that financial development yield more growth when these channels are optimized. With studies on real sector performance sparse, this paper contributes to this discussion as it examined the effect of financial development in fostering industrial growth under the condition of high and low human capital endowment. This was investigated for a sample of five (5) West African Monetary Zone (WAMZ) countries from 1990 to 2022. The study developed a panel threshold regression (PTR) model where human capital functioned as threshold variable and data collected from the United Nations Conference on Trade and Development (UNCTAD), World Development Indicator (WDI) and International Monetary Fund (IMF) databases. The study finds a threshold effect of financial development on industrial sector growth. The PTR estimator shows financial development can produce more industrial growth if human capital exceeds a gross of 62.9493%. Additionally, other factors such as trade openness, natural resource rents and higher labour participation in economic activities support industrial sector growth. In the design of industrial growth enhancing policies, policy mandarins should implement measures that improve human capital and further develop the financial system by scaling up education expenditure to the UNESCO prescribed 26% of GDP, educating women, leveraging technology to improve human capital productivity and outcomes, reducing loan collateral requirements, strengthening legal frameworks, and boosting banking competition by allowing entrant of capitalized financial institutions and timely exist of insolvent ones.
<p><em>This paper gives an overview of the concept of macroeconomic stabilization and, its measurement, goals and policy instruments. It starts with a review of the concept, measurement and goals of macroeconomic policy and, the goals performance measurement. After this, the paper looks at macroeconomic policies and its instruments, and macroeconomic stabilization problems. The next section examines the applicability of the stabilization instruments under various economic conditions and, this section is followed by a conclusion.</em></p>
This paper investigates the asymmetric exchange rate pass-through (ERPT) to inflation in Nigeria. The study employed Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL (NARDL) models from 2010Q1 to 2024Q2. The analysis incorporates key policy changes, such as the 2023 exchange rate unification, and explores both the short- and long-run impacts of exchange rate fluctuations on food and headline inflation. In particular, the study highlights the response and pass-through periods of exchange rate shocks, with depreciation demonstrating a stronger and more immediate effect on inflation than on appreciation. Results reveal that exchange rate depreciation exerts significant cost-push pressures, with a pass-through effect observed within 3 to 4 quarters, while the effect of appreciation is weaker and more prolonged. This asymmetry is especially pronounced for food inflation, where the dependency on imported goods accelerates the transmission of exchange rate shocks to consumer prices. The study also finds that cumulative depreciation has a much more pronounced effect on inflation. At the same time, appreciation offers minimal relief, reflecting Nigeria’s vulnerability to exchange rate volatility due to its reliance on imports. The findings show the importance of managing exchange rate fluctuations to control inflation, particularly given the asymmetry in how depreciation and appreciation affect prices. By providing a comprehensive analysis of both long- and short-run dynamics, this study contributes to the understanding of ERPT in Nigeria, offering insights for policymakers to implement targeted interventions to mitigate inflationary pressures in the context of exchange rate instability.
There has been increasing studies that details the transmission channels through which financial development permeates to speed up growth to higher echelon. Studies have underpinned that financial development yield more growth when these channels are optimized. With studies on real sector performance sparse, this paper contributes to this discussion as it examined the effect of financial development in fostering industrial growth under the condition of high and low human capital endowment. This was investigated for a sample of five (5) West African Monetary Zone (WAMZ) countries from 1990 to 2022. The study developed a panel threshold regression (PTR) model where human capital functioned as threshold variable and data collected from the United Nations Conference on Trade and Development (UNCTAD), World Development Indicator (WDI) and International Monetary Fund (IMF) databases. The study finds a threshold effect of financial development on industrial sector growth. The PTR estimator shows financial development can produce more industrial growth if human capital exceeds a gross of 62.9493%. Additionally, other factors such as trade openness, natural resource rents and higher labour participation in economic activities support industrial sector growth. In the design of industrial growth enhancing policies, policy mandarins should implement measures that improve human capital and further develop the financial system by scaling up education expenditure to the UNESCO prescribed 26% of GDP, educating women, leveraging technology to improve human capital productivity and outcomes, reducing loan collateral requirements, strengthening legal frameworks, and boosting banking competition by allowing entrant of capitalized financial institutions and timely exist of insolvent ones.
This paper investigates the asymmetric exchange rate pass-through (ERPT) to inflation in Nigeria. The study employed Autoregressive Distributed Lag (ARDL) and Nonlinear ARDL (NARDL) models from 2010Q1 to 2024Q2. The analysis incorporates key policy changes, such as the 2023 exchange rate unification, and explores both the short- and long-run impacts of exchange rate fluctuations on food and headline inflation. In particular, the study highlights the response and pass-through periods of exchange rate shocks, with depreciation demonstrating a stronger and more immediate effect on inflation than on appreciation. Results reveal that exchange rate depreciation exerts significant cost-push pressures, with a pass-through effect observed within 3 to 4 quarters, while the effect of appreciation is weaker and more prolonged. This asymmetry is especially pronounced for food inflation, where the dependency on imported goods accelerates the transmission of exchange rate shocks to consumer prices. The study also finds that cumulative depreciation has a much more pronounced effect on inflation. At the same time, appreciation offers minimal relief, reflecting Nigeria’s vulnerability to exchange rate volatility due to its reliance on imports. The findings show the importance of managing exchange rate fluctuations to control inflation, particularly given the asymmetry in how depreciation and appreciation affect prices. By providing a comprehensive analysis of both long- and short-run dynamics, this study contributes to the understanding of ERPT in Nigeria, offering insights for policymakers to implement targeted interventions to mitigate inflationary pressures in the context of exchange rate instability.
It is observed that despite the legislative endorsement of the West Africa Countries there is still a glaring divergence in economic structures, which impedes the performance to realize macroeconomic convergence and economic growth within the region. This paper investigated the effects of trade and financial indexes in WAMZ on economic growth. The paper uses three variables and a host of control measures to focus on six countries of WAMZ covering the periods of 2001-2018. Given the heterogeneous nature of the information gathered for the study, the models are cast in static and dynamic panel frameworks that provided micro-structure for the combined data analysis. The models were tested with various econometric and statistical instruments. Results from the analysis show that exported trade is highly concentrated to fewer goods, while imported trade is concentrated on more products and partners; that is, countries in WAMZ tend to shadow liberal import policy. The weak link was also noticed among financial and trade indexes and economic growth in the WAMZ economies. The implications call for short term economic plans and policies in the WAMZ economies so as to collectively monitor economic policies and growth. We equally observed that the structures of the economies in the region are heterogeneous making it rather difficult for regional trade and financial indicators to accelerate output growth in the region. Thus our basic postulations are an inter-policy approach on social, political and economic (trade and finance) arrangements that would neutralize the heterogeneity and foster institutional and attitudinal reforms, eliminate insecurity challenges, and spur political stability and responsible leadership within the regions.
<p><em>This paper gives an overview of the concept of macroeconomic stabilization and, its measurement, goals and policy instruments. It starts with a review of the concept, measurement and goals of macroeconomic policy and, the goals performance measurement. After this, the paper looks at macroeconomic policies and its instruments, and macroeconomic stabilization problems. The next section examines the applicability of the stabilization instruments under various economic conditions and, this section is followed by a conclusion.</em></p>
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 |