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 — 28 Oct 2026 21:33 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 5 | 4 | 4/4 | 4/4 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 13 | 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): 2026-10-21T07:22:43.108325+00:00 — 2026-10-28T21:33:27.142382+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 | 1 | 4 | 4/4 |
| 2023 | All selected publications | 4 | 4 | 4/4 |
| 2024 | All selected publications | 5 | 4 | 4/4 |
| 2025 | All selected publications | 2 | 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 |
|---|---|
| 2022 | 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 | 0 | 4 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 3 | 5 | 9 | 3/3 | 1.67 | 1 | 66.7 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
This paper use the dynamic growth framework to model the relationship between trade liberalization policy and economic growth of 42 African countries from 1995 to 2018. Banking on the heterogeneity of income and socioeconomic factor affecting trade policies in African countries, the paper opted for the Pooled Mean Group (PMG) technique which is sufficient for inference in a dynamic heterogeneous environment. The result tells that trade liberalization policy is beneficial to economic growth of African countries up to a certain threshold, beyond which it begins to cause the economy to under-heat. Thus, a confirmation of nonlinear relationship between trade liberalization policy and economic growth in African countries. The paper estimates a threshold value of 139.94% of total Trade to GDP; 345.32% of Export to GDP and 62.80% of Import to GDP. These findings champion that, for countries in Africa to benefit largely from trade, trade openness, export openness, and import openness should rover around the estimated threshold values. The paper documents certain conditions required to moderate the effect of trade liberalization policy on economic growth in African countries.
This paper examined bank-specific performance indicators and macroeconomic factors affecting the short-term financing obligation of Nigerian banks from 2010 to 2019. The data for the study are sourced annually from the financial statements of the selected Deposit Money Banks and the Central Bank of Nigeria Statistical Bulletin. The panel unit root and co-integration tests are employed to ascertain the sustainability of the bank-specific performance indicators. The models for the industry were cast in a host of panel frameworks such that we estimated the static and dynamic panel models. The study observed that the capital adequacy ratio, which is the short-term financing obligation of Nigerian banks was elastic to bank profitability positively. In addition, interbank call rate, bank size, and oil price positively influence the capital adequacy ratio over time, whereas loan-to-deposit ratio, inflation and exchange rate exacerbate the capital adequacy ratio. Consequently, we canvass that Nigerian banks should reduce dividend payouts and increase retained profits as a buffer against exposed risks.
Financial product awareness is an efficient remedy for poverty reduction as against lack of money. However, a holistic literature on financial product awareness in the six Geo-Political Zone of Nigeria is scarce. Using data from a quarterly survey of households in Nigeria, this paper investigated the influence of financial literacy, Socioeconomic and demographic factors on saving behaviors of Nigerians, age 15 to 70. With a pool of methods, our finding supported the observation from similar economies, but revealed some differences as well. We observed that financial literacy and proximity to financial products and services among others are the most significant determinants of savings behaviors of Nigerians. It is fair to say financial awareness and factors that influences it are necessary for the formulation of strategies to increase the inclusion of more members of the society into the formal financial stream.
This paper investigated how oil revenue and the activities in the oil industry affected the size of income accrue to each Nigerian (Per capita income) from 1980 to 2019. The variables were sourced from the World Bank’s World Development Indicators (WDI), OPEC Statistics, Baker Hughes Rig Count and the central bank of Nigeria statistical bulletin. Using the AutoRegressive Distributional Lag (ARDL) we observed that explorative activities of crude oil in Nigeria positively impacted the size of individual income. The magnitude of the impact was massive irrespective of time; a 1% increase in exploration increases the size of individual income by 0.4786% in the long run and 0.6030% in the short run. The interaction of rigs by output (interaction of rig-count and oil-production) negatively impacted the size of individual income. This implies that the size of individual income in Nigeria is sensitive to the nature of the explorative environment of the Nigerian oil industry.
This paper use the dynamic growth framework to model the relationship between trade liberalization policy and economic growth of 42 African countries from 1995 to 2018. Banking on the heterogeneity of income and socioeconomic factor affecting trade policies in African countries, the paper opted for the Pooled Mean Group (PMG) technique which is sufficient for inference in a dynamic heterogeneous environment. The result tells that trade liberalization policy is beneficial to economic growth of African countries up to a certain threshold, beyond which it begins to cause the economy to under-heat. Thus, a confirmation of nonlinear relationship between trade liberalization policy and economic growth in African countries. The paper estimates a threshold value of 139.94% of total Trade to GDP; 345.32% of Export to GDP and 62.80% of Import to GDP. These findings champion that, for countries in Africa to benefit largely from trade, trade openness, export openness, and import openness should rover around the estimated threshold values. The paper documents certain conditions required to moderate the effect of trade liberalization policy on economic growth in African countries.
This paper examined bank-specific performance indicators and macroeconomic factors affecting the short-term financing obligation of Nigerian banks from 2010 to 2019. The data for the study are sourced annually from the financial statements of the selected Deposit Money Banks and the Central Bank of Nigeria Statistical Bulletin. The panel unit root and co-integration tests are employed to ascertain the sustainability of the bank-specific performance indicators. The models for the industry were cast in a host of panel frameworks such that we estimated the static and dynamic panel models. The study observed that the capital adequacy ratio, which is the short-term financing obligation of Nigerian banks was elastic to bank profitability positively. In addition, interbank call rate, bank size, and oil price positively influence the capital adequacy ratio over time, whereas loan-to-deposit ratio, inflation and exchange rate exacerbate the capital adequacy ratio. Consequently, we canvass that Nigerian banks should reduce dividend payouts and increase retained profits as a buffer against exposed risks.
Financial product awareness is an efficient remedy for poverty reduction as against lack of money. However, a holistic literature on financial product awareness in the six Geo-Political Zone of Nigeria is scarce. Using data from a quarterly survey of households in Nigeria, this paper investigated the influence of financial literacy, Socioeconomic and demographic factors on saving behaviors of Nigerians, age 15 to 70. With a pool of methods, our finding supported the observation from similar economies, but revealed some differences as well. We observed that financial literacy and proximity to financial products and services among others are the most significant determinants of savings behaviors of Nigerians. It is fair to say financial awareness and factors that influences it are necessary for the formulation of strategies to increase the inclusion of more members of the society into the formal financial stream.
This paper investigated how oil revenue and the activities in the oil industry affected the size of income accrue to each Nigerian (Per capita income) from 1980 to 2019. The variables were sourced from the World Bank’s World Development Indicators (WDI), OPEC Statistics, Baker Hughes Rig Count and the central bank of Nigeria statistical bulletin. Using the AutoRegressive Distributional Lag (ARDL) we observed that explorative activities of crude oil in Nigeria positively impacted the size of individual income. The magnitude of the impact was massive irrespective of time; a 1% increase in exploration increases the size of individual income by 0.4786% in the long run and 0.6030% in the short run. The interaction of rigs by output (interaction of rig-count and oil-production) negatively impacted the size of individual income. This implies that the size of individual income in Nigeria is sensitive to the nature of the explorative environment of the Nigerian oil industry.
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 |