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 00:22 UTC — 21 Oct 2026 07:22 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 |
|---|---|---|---|---|---|
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 8 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 14 | 3 | 3/3 | 3/3 |
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): 2026-10-21T00:22:03.850485+00:00 — 2026-10-21T07:22:46.011486+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 | 4 | 4 | 4/4 |
| 2023 | All selected publications | 3 | 4 | 4/4 |
| 2024 | All selected publications | 6 | 4 | 4/4 |
| 2025 | All selected publications | 4 | 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 |
|---|---|
| 2020 | 1 |
| 2022 | 3 |
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 | 10 | 14 | 3/3 | 3.33 | 2 | 66.7 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
The proliferation of technology has innovated new ways of saving and investing money: online savings and investment platforms [OSIPs]. Predicting the intention to adopt Fintech has triggered the interest of many researchers in academia and industries. The primary objective of this study was to examine factors influencing the intention to adopt OSIPs in Nigeria by using data gathered from 640 digitally active citizens from selected cities in Nigeria. Reliability and validity tests were conducted through construct reliability and discriminant validity, respectively, through WarpPLS. Data were computed with the Statistical Package for the Social Sciences (version) 24 and analyzed with structural equation modeling via WarpPLS. The findings of this study showed that performance expectancy, effort expectancy, and social influence significantly affect attitude while facilitating conditions predict intention to adopt. It was also found that attitude significantly influences the intention to adopt OSIPs. The paper also discusses the study’s research limitations and presents implications for theory and practice.
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.
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.
The proliferation of technology has innovated new ways of saving and investing money: online savings and investment platforms [OSIPs]. Predicting the intention to adopt Fintech has triggered the interest of many researchers in academia and industries. The primary objective of this study was to examine factors influencing the intention to adopt OSIPs in Nigeria by using data gathered from 640 digitally active citizens from selected cities in Nigeria. Reliability and validity tests were conducted through construct reliability and discriminant validity, respectively, through WarpPLS. Data were computed with the Statistical Package for the Social Sciences (version) 24 and analyzed with structural equation modeling via WarpPLS. The findings of this study showed that performance expectancy, effort expectancy, and social influence significantly affect attitude while facilitating conditions predict intention to adopt. It was also found that attitude significantly influences the intention to adopt OSIPs. The paper also discusses the study’s research limitations and presents implications for theory and practice.
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.
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.
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 |